From 5c6f8e5051975b9b16c9a3633cb233eac7148fa2 Mon Sep 17 00:00:00 2001
From: Brent Huisman <brent@huisman.pl>
Date: Tue, 8 Feb 2022 15:10:40 +0100
Subject: [PATCH] Have Arbor Spackage.

---
 packages/arbor/package.py | 83 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 83 insertions(+)
 create mode 100644 packages/arbor/package.py

diff --git a/packages/arbor/package.py b/packages/arbor/package.py
new file mode 100644
index 00000000..c9d1e1e1
--- /dev/null
+++ b/packages/arbor/package.py
@@ -0,0 +1,83 @@
+# Copyright 2013-2022 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 Arbor(CMakePackage, CudaPackage):
+    """Arbor is a high-performance library for computational neuroscience
+    simulations."""
+
+    homepage = 'https://arbor-sim.org'
+    git      = 'https://github.com/arbor-sim/arbor.git'
+    url      = 'https://github.com/arbor-sim/arbor/releases/download/v0.6/arbor-v0.6-full.tar.gz'
+    maintainers = ['bcumming', 'brenthuisman', 'haampie', 'schmitts']
+
+    version('master', branch='master', submodules=True)
+    version('0.6', sha256='4cd333b18effc8833428ddc0b99e7dc976804771bc85da90034c272c7019e1e8', url='https://github.com/arbor-sim/arbor/releases/download/v0.6/arbor-v0.6-full.tar.gz')
+    version('0.5.2', sha256='290e2ad8ca8050db1791cabb6b431e7c0409c305af31b559e397e26b300a115d', url='https://github.com/arbor-sim/arbor/releases/download/v0.5.2/arbor-v0.5.2-full.tar.gz')
+    version('0.5', sha256='d0c8a4c7f97565d7c30493c66249be794d1dc424de266fc79cecbbf0e313df59', url='https://github.com/arbor-sim/arbor/releases/download/v0.5/arbor-v0.5-full.tar.gz')
+
+    variant('assertions', default=False, description='Enable arb_assert() assertions in code.')
+    variant('doc', default=False, description='Build documentation.')
+    variant('mpi', default=False, description='Enable MPI support')
+    variant('neuroml', default=True, description='Build NeuroML support library.')
+    variant('python', default=True, description='Enable Python frontend support')
+    variant('vectorize', default=False, description='Enable vectorization of computational kernels')
+
+    # https://docs.arbor-sim.org/en/latest/install/build_install.html?highlight=requirements#compilers
+    conflicts('%gcc@:8.3')
+    conflicts('%clang@:7')
+    # Cray compiler v9.2 and later is Clang-based.
+    conflicts('%cce@:9.1')
+    conflicts('%intel')
+
+    depends_on('cmake@3.12:', type='build')
+
+    # misc dependencies
+    depends_on('fmt@7.1:', when='@0.5.3:') # required by the modcc compiler
+    depends_on('nlohmann-json')
+    depends_on('cuda@10:', when='+cuda')
+    depends_on('libxml2', when='+neuroml')
+
+    # mpi
+    depends_on('mpi', when='+mpi')
+    depends_on('py-mpi4py', when='+mpi+python', type=('build', 'run'))
+
+    # python (bindings)
+    extends('python', when='+python')
+    depends_on('python@3.6:', when="+python", type=('build', 'run'))
+    depends_on('py-numpy', when='+python', type=('build', 'run'))
+    depends_on('py-pybind11@2.8.1:', when='+python', type=('build', 'run'))
+
+    # sphinx based documentation
+    depends_on('python@3.6:', when="+doc", type='build')
+    depends_on('py-sphinx', when="+doc", type='build')
+    depends_on('py-svgwrite', when='+doc', type='build')
+
+    @property
+    def build_targets(self):
+        return ['all', 'html'] if '+doc' in self.spec else ['all']
+
+    def cmake_args(self):
+        args = [
+            self.define_from_variant('ARB_WITH_ASSERTIONS', 'assertions'),
+            self.define_from_variant('ARB_WITH_MPI', 'mpi'),
+            self.define_from_variant('ARB_WITH_NEUROML', 'neuroml'),
+            self.define_from_variant('ARB_WITH_PYTHON', 'python'),
+            self.define_from_variant('ARB_VECTORIZE', 'vectorize'),
+        ]
+
+        if '+cuda' in self.spec:
+            args.append('-DARB_GPU=cuda')
+
+        # query spack for the architecture-specific compiler flags set by its wrapper
+        args.append('-DARB_ARCH=none')
+        opt_flags = self.spec.target.optimization_flags(
+            self.spec.compiler.name,
+            self.spec.compiler.version)
+        args.append('-DARB_CXX_FLAGS_TARGET=' + opt_flags)
+
+        return args
-- 
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