Update py-ytopt package and add necessary dependencies (#26879)

* Add spack package py-ytopt-team-ytopt and required dependencies.

* Removed old ytop package.

* Added author as maintainer.

* Fix style.

* Update var/spack/repos/builtin/packages/py-config-space/package.py

Update python dependency to 3.7

Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>

* Update var/spack/repos/builtin/packages/py-config-space/package.py

Remove run dependency from py-cython.

Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>

* Update var/spack/repos/builtin/packages/py-config-space/package.py

Added run dependency type for py-pyparsing.

Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>

* Updated description of py-dh-scikit-optimize.

* Source py-dh-scikit-optimize from PyPI.

* Added latest py-dh-scikit-optimize version.

* Made plots option False by default for py-dh-scikit-optimize.

* Removed 0.9.4 as it needs additional dependencies.

* Added version dependencies.

* Added missing py-joblib dependencies.

* Added run dependency type.

* Added python 2.7+ as supported for py-pyaml.

* Change py-config-space to py-configspace.

* Added dependency on python 3.6+.

* Fix py-configspace package naming.

* Changed py-autotune to py-ytopt-autotune.

* Update var/spack/repos/builtin/packages/py-pyaml/package.py

Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>

* Added debug variant with py-ray dependency.

* Added missing py-mpi4py missing dependency.

* Removed erroneous variant.

* Added debug variant to py-ray.

* Fix indentation.

* Removed debug variant of py-ray.

Co-authored-by: Adam J. Stewart <ajstewart426@gmail.com>

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

@@ -0,0 +1,23 @@
+# 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 PyConfigspace(PythonPackage):
+    """Creation and manipulation of parameter configuration spaces for
+       automated algorithm configuration and hyperparameter tuning."""
+
+    maintainers = ['Kerilk']
+
+    homepage = "https://automl.github.io/ConfigSpace/master/"
+    pypi     = "ConfigSpace/ConfigSpace-0.4.20.tar.gz"
+
+    version('0.4.20', sha256='2e4ca06f5a6a61e5322a73dd7545468c79f2a3e8385cab92fdada317af41d9e9')
+
+    depends_on('python@3.7:', type=('build', 'run'))
+    depends_on('py-numpy', type=('build', 'run'))
+    depends_on('py-cython', type='build')
+    depends_on('py-pyparsing', type=('build', 'run'))

var/spack/repos/builtin/packages/py-dh-scikit-optimize/package.py

@@ -0,0 +1,38 @@
+# 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 PyDhScikitOptimize(PythonPackage):
+    """A Modified version of scikit-optimize a Sequential model-based
+       optimization toolbox for DeepHyper.
+       Scikit-Optimize, or skopt, is a simple and efficient library to
+       minimize (very) expensive and noisy black-box functions. It implements
+       several methods for sequential model-based optimization. skopt aims to
+       be accessible and easy to use in many contexts.
+
+       The library is built on top of NumPy, SciPy and Scikit-Learn."""
+
+    maintainers = ['Kerilk']
+
+    homepage = "https://github.com/deephyper/scikit-optimize"
+    pypi     = "dh-scikit-optimize/dh-scikit-optimize-0.9.0.tar.gz"
+
+    version('0.9.0', sha256='fe70aa57ec5150a3d356b2184f0dda1ecc4ecb7e82d35edac3980094d409d676')
+
+    variant('plots', default=False,
+            description='Build with plot support from py-matplotlib')
+
+    depends_on('python@3.6:', type=('build', 'run'))
+    depends_on('py-setuptools', type='build')
+    depends_on('py-joblib@0.11:', type=('build', 'run'))
+    depends_on('py-pyaml@16.9:', type=('build', 'run'))
+    depends_on('py-numpy@1.13.3:', type=('build', 'run'))
+    depends_on('py-scipy@0.19.1:', type=('build', 'run'))
+    depends_on('py-scikit-learn@0.20.0:', type=('build', 'run'))
+    depends_on('py-configspace@0.4.20:', type=('build', 'run'))
+
+    depends_on('py-matplotlib@2.0.0:',   when='+plots', type='run')

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

@@ -0,0 +1,22 @@
+# 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 PyPyaml(PythonPackage):
+    """PyYAML-based python module to produce pretty and readable
+       YAML-serialized data."""
+
+    maintainers = ['Kerilk']
+
+    homepage = "https://github.com/mk-fg/pretty-yaml"
+    pypi     = "pyaml/pyaml-21.8.3.tar.gz"
+
+    version('21.8.3', sha256='a1636d63c476328a07213d0b7111bb63570f1ab8a3eddf60522630250c23d975')
+
+    depends_on('python@2.7:2,3.5:', type=('build', 'run'))
+    depends_on('py-setuptools', type='build')
+    depends_on('py-pyyaml', type=('build', 'run'))

var/spack/repos/builtin/packages/py-ytopt-autotune/package.py

@@ -0,0 +1,20 @@
+# 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 PyYtoptAutotune(PythonPackage):
+    """Common interface for autotuning search space and method definition."""
+
+    maintainers = ['Kerilk']
+
+    homepage = "https://github.com/ytopt-team/autotune"
+    url = "https://github.com/ytopt-team/autotune/archive/refs/tags/v1.1.0.tar.gz"
+
+    version('1.1.0', sha256='5ee7fa6a1c83131c5ceba1537b25f00de84182e4d0e6ebd0fd6efa4e8aee1bc4')
+
+    depends_on('python@3:', type=('build', 'run'))
+    depends_on('py-setuptools', type='build')

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

@@ -10,14 +10,22 @@ 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"
+    maintainers = ['Kerilk']
 
-    version('0.1.0', sha256='c7081fe3585a5b7a25bcb84733cd2326b72de3bfc4f84d6ad110341f24c3e612')
+    homepage = "https://github.com/ytopt-team/ytopt"
+    url      = "https://github.com/ytopt-team/ytopt/archive/refs/tags/v0.0.1.tar.gz"
 
-    depends_on('py-scikit-learn', type=('build', 'run'))
-    depends_on('py-scikit-optimize', type=('build', 'run'))
+    version('0.0.2', sha256='5a624aa678b976ff6ef867610bafcb0dfd5c8af0d880138ca5d56d3f776e6d71')
+    version('0.0.1', sha256='3ca616922c8e76e73f695a5ddea5dd91b0103eada726185f008343cc5cbd7744')
 
-    def build_args(self, spec, prefix):
-        args = []
-        return args
+    depends_on('python@3.6:', type=('build', 'run'))
+    depends_on('py-scikit-learn@0.23.1', type=('build', 'run'))
+    depends_on('py-dh-scikit-optimize', type=('build', 'run'))
+    depends_on('py-configspace', type=('build', 'run'))
+    depends_on('py-numpy', type=('build', 'run'))
+    depends_on('py-ytopt-autotune@1.1:', type=('build', 'run'))
+    depends_on('py-joblib', type=('build', 'run'))
+    depends_on('py-deap', type=('build', 'run'))
+    depends_on('py-tqdm', type=('build', 'run'))
+    depends_on('py-ray', type=('build', 'run'))
+    depends_on('py-mpi4py@3.0.0:', type=('build', 'run'))