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authorSinan <sbulutw@gmail.com>2019-08-31 12:38:46 -0700
committerAdam J. Stewart <ajstewart426@gmail.com>2019-08-31 14:38:46 -0500
commit1461c90bd1f1901536f864d139146ff1dc507737 (patch)
tree5aa5b1eb1dfb475f3e5f9db6d99952e1170fc848 /var
parent9ce9d45aa79433849bd78d41f360f626630002dc (diff)
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new package: FANN (#12614)
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-rw-r--r--var/spack/repos/builtin/packages/fann/package.py26
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diff --git a/var/spack/repos/builtin/packages/fann/package.py b/var/spack/repos/builtin/packages/fann/package.py
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+# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
+# Spack Project Developers. See the top-level COPYRIGHT file for details.
+#
+# SPDX-License-Identifier: (Apache-2.0 OR MIT)
+
+from spack import *
+
+
+class Fann(CMakePackage):
+ """
+ Fast Artificial Neural Network Library is a free open source neural network
+ library, which implements multilayer artificial neural networks in C with
+ support for both fully connected and sparsely connected networks.
+ Cross-platform execution in both fixed and floating point are supported. It
+ includes a framework for easy handling of training data sets. It is easy to
+ use, versatile, well documented, and fast. Bindings to more than 20
+ programming languages are available. An easy to read introduction article
+ and a reference manual accompanies the library with examples and
+ recommendations on how to use the library. Several graphical user
+ interfaces are also available for the library.
+ """
+
+ homepage = "http://leenissen.dk/fann/wp/"
+ url = "https://github.com/libfann/fann/archive/2.2.0.tar.gz"
+
+ version('2.2.0', sha256='f31c92c1589996f97d855939b37293478ac03d24b4e1c08ff21e0bd093449c3c')