Update melissa build (#37609)

* Remove deprecated package

* Add up-to-date melissa builds

* Remove blank lines and FIXME comments

* Use directive syntax for maintainers and remove unnecessary comments

* Remove unused function

* Deprecate former melissa recipe

* Change melissa python package name

* Update setuptools and rapidjson dependencies versions

* Fix mypy error

* Restore rapidjson version

* Variant simplification

* Make variants lower case

* Deprecate former omitted version

* Make torch version consistent with requirement file

* Fix variants definition

* Fix style error

---------

Co-authored-by: Marc Schouler <marc.schouler@inria.fr>

var/spack/repos/builtin/packages/melissa-api/package.py

@@ -0,0 +1,27 @@
+# Copyright 2013-2023 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.package import *
+
+
+class MelissaApi(CMakePackage):
+    """Melissa is a file-avoiding, adaptive, fault-tolerant and elastic
+    framework, to run large-scale sensitivity analysis or deep-surrogate
+    training on supercomputers.
+    This package builds the API used when instrumenting the clients.
+    """
+
+    homepage = "https://gitlab.inria.fr/melissa/melissa"
+    git = "https://gitlab.inria.fr/melissa/melissa.git"
+    maintainers("robcaulk", "mschouler", "raffino")
+
+    version("develop", branch="develop")
+
+    depends_on("cmake@3.7.2:", type="build")
+    depends_on("libzmq@4.1.5:")
+    depends_on("mpi")
+
+    def setup_run_environment(self, env):
+        env.prepend_path("PYTHONPATH", self.prefix.lib)

var/spack/repos/builtin/packages/melissa/package.py

@@ -18,9 +18,13 @@ class Melissa(CMakePackage):
     # attention: Git**Hub**.com accounts
     maintainers("christoph-conrads", "raffino")
 
-    version("master", branch="master")
+    version("master", branch="master", deprecated=True)
-    version("develop", branch="develop")
+    version("develop", branch="develop", deprecated=True)
-    version("0.7.1", sha256="c30584f15fecf6297712a88e4d28851bfd992f31209fd7bb8af2feebe73d539d")
+    version(
+        "0.7.1",
+        sha256="c30584f15fecf6297712a88e4d28851bfd992f31209fd7bb8af2feebe73d539d",
+        deprecated=True,
+    )
     version(
         "0.7.0",
         sha256="a801d0b512e31a0750f98cfca80f8338985e06abf9b26e96f7645a022864e41c",

var/spack/repos/builtin/packages/py-melissa-core/package.py

@@ -0,0 +1,47 @@
+# Copyright 2013-2023 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.package import *
+
+
+class PyMelissaCore(PythonPackage):
+    """Melissa is a file-avoiding, adaptive, fault-tolerant and elastic
+    framework, to run large-scale sensitivity analysis or deep-surrogate
+    training on supercomputers.
+    This package builds the launcher and server modules.
+    """
+
+    homepage = "https://gitlab.inria.fr/melissa/melissa"
+    git = "https://gitlab.inria.fr/melissa/melissa.git"
+    maintainers("robcaulk", "mschouler", "raffino")
+
+    version("develop", branch="develop")
+
+    # define variants for the deep learning server (torch, tf)
+    variant(
+        "torch", default=False, description="Install Deep Learning requirements with Pytorch only"
+    )
+    variant(
+        "tf", default=False, description="Install Deep Learning requirements with TensorFlow only"
+    )
+
+    depends_on("python@3.8.0:", type=("build", "run"))
+    depends_on("py-setuptools@46.4:", type=("build"))
+    # requirements.txt (SA)
+    depends_on("py-pyzmq@22.3.0:", type="run")
+    depends_on("py-mpi4py@3.1.3:", type="run")
+    depends_on("py-numpy@1.21:", type="run")
+    depends_on("py-jsonschema@4.5:", type="run")
+    depends_on("py-python-rapidjson@1.8:", type="run")
+    depends_on("py-scipy@1.10.0:", type="run")
+    depends_on("py-cloudpickle@2.2.0:", type="run")
+    # requirements_deep_learning.txt (DL with torch)
+    depends_on("py-tensorboard@2.10.0:", type="run", when="+torch")
+    depends_on("py-matplotlib", type="run", when="+torch")
+    depends_on("py-torch@1.12.1:", type="run", when="+torch")
+    # requirements_deep_learning.txt  (DL with tensorflow)
+    depends_on("py-tensorboard@2.10.0:", type="run", when="+tf")
+    depends_on("py-matplotlib", type="run", when="+tf")
+    depends_on("py-tensorflow@2.8.0:", type="run", when="+tf")