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-rw-r--r--var/spack/repos/builtin/packages/py-ytopt/package.py42
1 files changed, 42 insertions, 0 deletions
diff --git a/var/spack/repos/builtin/packages/py-ytopt/package.py b/var/spack/repos/builtin/packages/py-ytopt/package.py
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+++ b/var/spack/repos/builtin/packages/py-ytopt/package.py
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+##############################################################################
+# Copyright (c) 2013-2018, Lawrence Livermore National Security, LLC.
+# Produced at the Lawrence Livermore National Laboratory.
+#
+# This file is part of Spack.
+# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
+# LLNL-CODE-647188
+#
+# For details, see https://github.com/spack/spack
+# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License (as
+# published by the Free Software Foundation) version 2.1, February 1999.
+#
+# This program is distributed in the hope that it will be useful, but
+# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
+# conditions of the GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public
+# License along with this program; if not, write to the Free Software
+# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+##############################################################################
+from spack import *
+
+
+class PyYtopt(PythonPackage):
+ """Ytopt package implements search using Random Forest (SuRF), an autotuning
+ search method developed within Y-Tune ECP project."""
+
+ homepage = "https://xgitlab.cels.anl.gov/pbalapra/ytopt"
+ url = "https://xgitlab.cels.anl.gov/pbalapra/ytopt/raw/release/dist/ytopt-0.1.0.tar.gz"
+
+ version('0.1.0', sha256='c7081fe3585a5b7a25bcb84733cd2326b72de3bfc4f84d6ad110341f24c3e612')
+
+ depends_on('py-scikit-learn', type=('build', 'run'))
+ depends_on('py-scikit-optimize', type=('build', 'run'))
+
+ def build_args(self, spec, prefix):
+ args = []
+ return args