New package: py-gpyopt (#26232)

Co-authored-by: Sid Pendelberry <sid@rit.edu>
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>

var/spack/repos/builtin/packages/py-gpyopt/package.py

@@ -0,0 +1,25 @@
+# Copyright 2013-2021 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 PyGpyopt(PythonPackage):
+    """ Performs global optimization with different acquisition functions. Among
+    other functionalities, it is possible to use GPyOpt to optimize physical
+    experiments (sequentially or in batches) and tune the parameters of Machine
+    Learning algorithms. It is able to handle large data sets via sparse
+    Gaussian process models."""
+
+    homepage = "http://sheffieldml.github.io/GPyOpt/"
+    pypi     = "GPyOpt/GPyOpt-1.2.6.tar.gz"
+
+    version('1.2.6', sha256='e714daa035bb529a6db23c53665a762a4ab3456b9329c19ad3b03983f94c9b2a')
+
+    depends_on('py-setuptools',         type='build')
+    depends_on('py-numpy@1.7:',         type=('build', 'run'))
+    depends_on('py-scipy@0.16:',        type=('build', 'run'))
+    depends_on('py-gpy@1.8:',           type=('build', 'run'))
+    depends_on('py-matplotlib@1.3:',    type=('test'))