a8ccb8e116
- [x] add `concretize.lp`, `spack.yaml`, etc. to licensed files
- [x] update all licensed files to say 2013-2021 using
`spack license update-copyright-year`
- [x] appease mypy with some additions to package.py that needed
for oneapi.py
27 lines
1.2 KiB
Python
27 lines
1.2 KiB
Python
# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class Fann(CMakePackage):
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"""
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Fast Artificial Neural Network Library is a free open source neural network
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library, which implements multilayer artificial neural networks in C with
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support for both fully connected and sparsely connected networks.
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Cross-platform execution in both fixed and floating point are supported. It
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includes a framework for easy handling of training data sets. It is easy to
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use, versatile, well documented, and fast. Bindings to more than 20
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programming languages are available. An easy to read introduction article
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and a reference manual accompanies the library with examples and
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recommendations on how to use the library. Several graphical user
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interfaces are also available for the library.
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"""
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homepage = "http://leenissen.dk/fann/wp/"
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url = "https://github.com/libfann/fann/archive/2.2.0.tar.gz"
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version('2.2.0', sha256='f31c92c1589996f97d855939b37293478ac03d24b4e1c08ff21e0bd093449c3c')
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