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##############################################################################
# Copyright (c) 2013, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Written by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://scalability-llnl.github.io/spack
# Please also see the LICENSE file 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 General Public License (as published by
# the Free Software Foundation) version 2.1 dated 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 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
##############################################################################
"""
Functions here are used to take abstract specs and make them concrete.
For example, if a spec asks for a version between 1.8 and 1.9, these
functions might take will take the most recent 1.9 version of the
package available. Or, if the user didn't specify a compiler for a
spec, then this will assign a compiler to the spec based on defaults
or user preferences.
TODO: make this customizable and allow users to configure
concretization policies.
"""
import spack.spec
import spack.compilers
import spack.architecture
import spack.error
from spack.version import *
class DefaultConcretizer(object):
"""This class doesn't have any state, it just provides some methods for
concretization. You can subclass it to override just some of the
default concretization strategies, or you can override all of them.
"""
def concretize_version(self, spec):
"""If the spec is already concrete, return. Otherwise take
the most recent available version, and default to the package's
version if there are no avaialble versions.
"""
# return if already concrete.
if spec.versions.concrete:
return
# If there are known avaialble versions, return the most recent
# version that satisfies the spec
pkg = spec.package
valid_versions = pkg.available_versions.intersection(spec.versions)
if valid_versions:
spec.versions = ver([valid_versions[-1]])
else:
spec.versions = ver([pkg.default_version])
def concretize_architecture(self, spec):
"""If the spec already had an architecture, return. Otherwise if
the root of the DAG has an architecture, then use that.
Otherwise take the system's default architecture.
Intuition: Architectures won't be set a lot, and generally you
want the host system's architecture. When architectures are
mised in a spec, it is likely because the tool requries a
cross-compiled component, e.g. for tools that run on BlueGene
or Cray machines. These constraints will likely come directly
from packages, so require the user to be explicit if they want
to mess with the architecture, and revert to the default when
they're not explicit.
"""
if spec.architecture is not None:
return
if spec.root.architecture:
spec.architecture = spec.root.architecture
else:
spec.architecture = spack.architecture.sys_type()
def concretize_compiler(self, spec):
"""If the spec already has a compiler, we're done. If not, then take
the compiler used for the nearest ancestor with a compiler
spec and use that. If the ancestor's compiler is not
concrete, then give it a valid version. If there is no
ancestor with a compiler, use the system default compiler.
Intuition: Use the system default if no package that depends on
this one has a strict compiler requirement. Otherwise, try to
build with the compiler that will be used by libraries that
link to this one, to maximize compatibility.
TODO: In many cases we probably want to look for installed
versions of each package and use *that* version if we
can link to it. The policy implemented here will
tend to rebuild a lot of stuff becasue it will prefer
a compiler in the spec to any compiler already-
installed things were built with. There is likely
some better policy that finds some middle ground
between these two extremes.
"""
if spec.compiler and spec.compiler.concrete:
return
try:
nearest = next(p for p in spec.preorder_traversal(direction='parents')
if p.compiler is not None).compiler
if not nearest.concrete:
# Take the newest compiler that saisfies the spec
matches = sorted(spack.compilers.find(nearest))
if not matches:
raise UnavailableCompilerVersionError(nearest)
# copy concrete version into nearest spec
nearest.versions = matches[-1].versions.copy()
assert(nearest.concrete)
spec.compiler = nearest.copy()
except StopIteration:
spec.compiler = spack.compilers.default_compiler().copy()
def choose_provider(self, spec, providers):
"""This is invoked for virtual specs. Given a spec with a virtual name,
say "mpi", and a list of specs of possible providers of that spec,
select a provider and return it.
"""
assert(spec.virtual)
assert(providers)
index = spack.spec.index_specs(providers)
first_key = sorted(index.keys())[0]
latest_version = sorted(index[first_key])[-1]
return latest_version
class UnavailableCompilerVersionError(spack.error.SpackError):
"""Raised when there is no available compiler that satisfies a
compiler spec."""
def __init__(self, compiler_spec):
super(UnavailableCompilerVersionError, self).__init__(
"No available compiler version matches '%s'" % compiler_spec,
"Run 'spack compilers' to see available compiler Options.")
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