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|
# 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 __future__ import division, print_function
import collections
import copy
import itertools
import os
import pprint
import re
import types
import warnings
from six import string_types
import archspec.cpu
from llnl.util.compat import Sequence
try:
import clingo # type: ignore[import]
# There may be a better way to detect this
clingo_cffi = hasattr(clingo.Symbol, "_rep")
except ImportError:
clingo = None # type: ignore
clingo_cffi = False
import llnl.util.lang
import llnl.util.tty as tty
import spack
import spack.binary_distribution
import spack.bootstrap
import spack.cmd
import spack.compilers
import spack.config
import spack.dependency
import spack.directives
import spack.environment as ev
import spack.error
import spack.package_base
import spack.package_prefs
import spack.platforms
import spack.repo
import spack.spec
import spack.store
import spack.util.path
import spack.util.timer
import spack.variant
import spack.version
# these are from clingo.ast and bootstrapped later
ASTType = None
parse_files = None
#: Data class that contain configuration on what a
#: clingo solve should output.
#:
#: Args:
#: timers (bool): Print out coarse timers for different solve phases.
#: stats (bool): Whether to output Clingo's internal solver statistics.
#: out: Optional output stream for the generated ASP program.
#: setup_only (bool): if True, stop after setup and don't solve (default False).
OutputConfiguration = collections.namedtuple(
"OutputConfiguration", ["timers", "stats", "out", "setup_only"]
)
#: Default output configuration for a solve
DEFAULT_OUTPUT_CONFIGURATION = OutputConfiguration(
timers=False, stats=False, out=None, setup_only=False
)
def default_clingo_control():
"""Return a control object with the default settings used in Spack"""
control = clingo.Control()
control.configuration.configuration = "tweety"
control.configuration.solve.models = 0
control.configuration.solver.heuristic = "Domain"
control.configuration.solve.parallel_mode = "1"
control.configuration.solver.opt_strategy = "usc,one"
return control
# backward compatibility functions for clingo ASTs
def ast_getter(*names):
def getter(node):
for name in names:
result = getattr(node, name, None)
if result:
return result
raise KeyError("node has no such keys: %s" % names)
return getter
ast_type = ast_getter("ast_type", "type")
ast_sym = ast_getter("symbol", "term")
#: Order of precedence for version origins. Topmost types are preferred.
version_origin_fields = ["spec", "external", "packages_yaml", "package_py", "installed"]
#: Look up version precedence strings by enum id
version_origin_str = {i: name for i, name in enumerate(version_origin_fields)}
#: Enumeration like object to mark version provenance
version_provenance = collections.namedtuple( # type: ignore
"VersionProvenance",
version_origin_fields,
)(**{name: i for i, name in enumerate(version_origin_fields)})
#: Named tuple to contain information on declared versions
DeclaredVersion = collections.namedtuple("DeclaredVersion", ["version", "idx", "origin"])
# Below numbers are used to map names of criteria to the order
# they appear in the solution. See concretize.lp
# The space of possible priorities for optimization targets
# is partitioned in the following ranges:
#
# [0-100) Optimization criteria for software being reused
# [100-200) Fixed criteria that are higher priority than reuse, but lower than build
# [200-300) Optimization criteria for software being built
# [300-1000) High-priority fixed criteria
# [1000-inf) Error conditions
#
# Each optimization target is a minimization with optimal value 0.
#: High fixed priority offset for criteria that supersede all build criteria
high_fixed_priority_offset = 300
#: Priority offset for "build" criteria (regular criterio shifted to
#: higher priority for specs we have to build)
build_priority_offset = 200
#: Priority offset of "fixed" criteria (those w/o build criteria)
fixed_priority_offset = 100
def build_criteria_names(costs, tuples):
"""Construct an ordered mapping from criteria names to costs."""
# pull optimization criteria names out of the solution
priorities_names = []
num_fixed = 0
num_high_fixed = 0
for pred, args in tuples:
if pred != "opt_criterion":
continue
priority, name = args[:2]
priority = int(priority)
# add the priority of this opt criterion and its name
priorities_names.append((priority, name))
# if the priority is less than fixed_priority_offset, then it
# has an associated build priority -- the same criterion but for
# nodes that we have to build.
if priority < fixed_priority_offset:
build_priority = priority + build_priority_offset
priorities_names.append((build_priority, name))
elif priority >= high_fixed_priority_offset:
num_high_fixed += 1
else:
num_fixed += 1
# sort the criteria by priority
priorities_names = sorted(priorities_names, reverse=True)
# We only have opt-criterion values for non-error types
# error type criteria are excluded (they come first)
error_criteria = len(costs) - len(priorities_names)
costs = costs[error_criteria:]
# split list into three parts: build criteria, fixed criteria, non-build criteria
num_criteria = len(priorities_names)
num_build = (num_criteria - num_fixed - num_high_fixed) // 2
build_start_idx = num_high_fixed
fixed_start_idx = num_high_fixed + num_build
installed_start_idx = num_high_fixed + num_build + num_fixed
high_fixed = priorities_names[:build_start_idx]
build = priorities_names[build_start_idx:fixed_start_idx]
fixed = priorities_names[fixed_start_idx:installed_start_idx]
installed = priorities_names[installed_start_idx:]
# mapping from priority to index in cost list
indices = dict((p, i) for i, (p, n) in enumerate(priorities_names))
# make a list that has each name with its build and non-build costs
criteria = [(cost, None, name) for cost, (p, name) in zip(costs[:build_start_idx], high_fixed)]
criteria += [
(cost, None, name)
for cost, (p, name) in zip(costs[fixed_start_idx:installed_start_idx], fixed)
]
for (i, name), (b, _) in zip(installed, build):
criteria.append((costs[indices[i]], costs[indices[b]], name))
return criteria
def issequence(obj):
if isinstance(obj, string_types):
return False
return isinstance(obj, (Sequence, types.GeneratorType))
def listify(args):
if len(args) == 1 and issequence(args[0]):
return list(args[0])
return list(args)
def packagize(pkg):
if isinstance(pkg, string_types):
return spack.repo.path.get_pkg_class(pkg)
else:
return pkg
def specify(spec):
if isinstance(spec, spack.spec.Spec):
return spec
return spack.spec.Spec(spec)
class AspObject(object):
"""Object representing a piece of ASP code."""
def _id(thing):
"""Quote string if needed for it to be a valid identifier."""
if isinstance(thing, AspObject):
return thing
elif isinstance(thing, bool):
return '"%s"' % str(thing)
elif isinstance(thing, int):
return str(thing)
else:
return '"%s"' % str(thing)
@llnl.util.lang.key_ordering
class AspFunction(AspObject):
def __init__(self, name, args=None):
self.name = name
self.args = () if args is None else args
def _cmp_key(self):
return (self.name, self.args)
def __call__(self, *args):
return AspFunction(self.name, args)
def symbol(self, positive=True):
def argify(arg):
if isinstance(arg, bool):
return clingo.String(str(arg))
elif isinstance(arg, int):
return clingo.Number(arg)
else:
return clingo.String(str(arg))
return clingo.Function(self.name, [argify(arg) for arg in self.args], positive=positive)
def __str__(self):
return "%s(%s)" % (self.name, ", ".join(str(_id(arg)) for arg in self.args))
def __repr__(self):
return str(self)
class AspFunctionBuilder(object):
def __getattr__(self, name):
return AspFunction(name)
fn = AspFunctionBuilder()
def all_compilers_in_config():
return spack.compilers.all_compilers()
def extend_flag_list(flag_list, new_flags):
"""Extend a list of flags, preserving order and precedence.
Add new_flags at the end of flag_list. If any flags in new_flags are
already in flag_list, they are moved to the end so that they take
higher precedence on the compile line.
"""
for flag in new_flags:
if flag in flag_list:
flag_list.remove(flag)
flag_list.append(flag)
def check_packages_exist(specs):
"""Ensure all packages mentioned in specs exist."""
repo = spack.repo.path
for spec in specs:
for s in spec.traverse():
try:
check_passed = repo.exists(s.name) or repo.is_virtual(s.name)
except Exception as e:
msg = "Cannot find package: {0}".format(str(e))
check_passed = False
tty.debug(msg)
if not check_passed:
raise spack.repo.UnknownPackageError(str(s.fullname))
class Result(object):
"""Result of an ASP solve."""
def __init__(self, specs, asp=None):
self.asp = asp
self.satisfiable = None
self.optimal = None
self.warnings = None
self.nmodels = 0
# Saved control object for reruns when necessary
self.control = None
# specs ordered by optimization level
self.answers = []
self.cores = []
# names of optimization criteria
self.criteria = []
# Abstract user requests
self.abstract_specs = specs
# Concrete specs
self._concrete_specs_by_input = None
self._concrete_specs = None
self._unsolved_specs = None
def format_core(self, core):
"""
Format an unsatisfiable core for human readability
Returns a list of strings, where each string is the human readable
representation of a single fact in the core, including a newline.
Modeled after traceback.format_stack.
"""
error_msg = (
"Internal Error: ASP Result.control not populated. Please report to the spack"
" maintainers"
)
assert self.control, error_msg
symbols = dict((a.literal, a.symbol) for a in self.control.symbolic_atoms)
core_symbols = []
for atom in core:
sym = symbols[atom]
core_symbols.append(sym)
return sorted(str(symbol) for symbol in core_symbols)
def minimize_core(self, core):
"""
Return a subset-minimal subset of the core.
Clingo cores may be thousands of lines when two facts are sufficient to
ensure unsatisfiability. This algorithm reduces the core to only those
essential facts.
"""
error_msg = (
"Internal Error: ASP Result.control not populated. Please report to the spack"
" maintainers"
)
assert self.control, error_msg
min_core = core[:]
for fact in core:
# Try solving without this fact
min_core.remove(fact)
ret = self.control.solve(assumptions=min_core)
if not ret.unsatisfiable:
min_core.append(fact)
return min_core
def minimal_cores(self):
"""
Return a list of subset-minimal unsatisfiable cores.
"""
return [self.minimize_core(core) for core in self.cores]
def format_minimal_cores(self):
"""List of facts for each core
Separate cores are separated by an empty line
"""
string_list = []
for core in self.minimal_cores():
if string_list:
string_list.append("\n")
string_list.extend(self.format_core(core))
return string_list
def format_cores(self):
"""List of facts for each core
Separate cores are separated by an empty line
Cores are not minimized
"""
string_list = []
for core in self.cores:
if string_list:
string_list.append("\n")
string_list.extend(self.format_core(core))
return string_list
def raise_if_unsat(self):
"""
Raise an appropriate error if the result is unsatisfiable.
The error is an InternalConcretizerError, and includes the minimized cores
resulting from the solve, formatted to be human readable.
"""
if self.satisfiable:
return
constraints = self.abstract_specs
if len(constraints) == 1:
constraints = constraints[0]
conflicts = self.format_minimal_cores()
raise InternalConcretizerError(constraints, conflicts=conflicts)
@property
def specs(self):
"""List of concretized specs satisfying the initial
abstract request.
"""
if self._concrete_specs is None:
self._compute_specs_from_answer_set()
return self._concrete_specs
@property
def unsolved_specs(self):
"""List of abstract input specs that were not solved."""
if self._unsolved_specs is None:
self._compute_specs_from_answer_set()
return self._unsolved_specs
@property
def specs_by_input(self):
if self._concrete_specs_by_input is None:
self._compute_specs_from_answer_set()
return self._concrete_specs_by_input
def _compute_specs_from_answer_set(self):
if not self.satisfiable:
self._concrete_specs = []
self._unsolved_specs = self.abstract_specs
self._concrete_specs_by_input = {}
return
self._concrete_specs, self._unsolved_specs = [], []
self._concrete_specs_by_input = {}
best = min(self.answers)
opt, _, answer = best
for input_spec in self.abstract_specs:
key = input_spec.name
if input_spec.virtual:
providers = [spec.name for spec in answer.values() if spec.package.provides(key)]
key = providers[0]
candidate = answer.get(key)
if candidate and candidate.satisfies(input_spec):
self._concrete_specs.append(answer[key])
self._concrete_specs_by_input[input_spec] = answer[key]
else:
self._unsolved_specs.append(input_spec)
def _normalize_packages_yaml(packages_yaml):
normalized_yaml = copy.copy(packages_yaml)
for pkg_name in packages_yaml:
is_virtual = spack.repo.path.is_virtual(pkg_name)
if pkg_name == "all" or not is_virtual:
continue
# Remove the virtual entry from the normalized configuration
data = normalized_yaml.pop(pkg_name)
is_buildable = data.get("buildable", True)
if not is_buildable:
for provider in spack.repo.path.providers_for(pkg_name):
entry = normalized_yaml.setdefault(provider.name, {})
entry["buildable"] = False
externals = data.get("externals", [])
def keyfn(x):
return spack.spec.Spec(x["spec"]).name
for provider, specs in itertools.groupby(externals, key=keyfn):
entry = normalized_yaml.setdefault(provider, {})
entry.setdefault("externals", []).extend(specs)
return normalized_yaml
def bootstrap_clingo():
global clingo, ASTType, parse_files
if not clingo:
with spack.bootstrap.ensure_bootstrap_configuration():
spack.bootstrap.ensure_clingo_importable_or_raise()
import clingo
from clingo.ast import ASTType
try:
from clingo.ast import parse_files
except ImportError:
# older versions of clingo have this one namespace up
from clingo import parse_files
class PyclingoDriver(object):
def __init__(self, cores=True):
"""Driver for the Python clingo interface.
Arguments:
cores (bool): whether to generate unsatisfiable cores for better
error reporting.
"""
bootstrap_clingo()
self.out = llnl.util.lang.Devnull()
self.cores = cores
# These attributes are part of the object, but will be reset
# at each call to solve
self.control = None
self.backend = None
self.assumptions = None
def title(self, name, char):
self.out.write("\n")
self.out.write("%" + (char * 76))
self.out.write("\n")
self.out.write("%% %s\n" % name)
self.out.write("%" + (char * 76))
self.out.write("\n")
def h1(self, name):
self.title(name, "=")
def h2(self, name):
self.title(name, "-")
def newline(self):
self.out.write("\n")
def fact(self, head):
"""ASP fact (a rule without a body).
Arguments:
head (AspFunction): ASP function to generate as fact
"""
symbol = head.symbol() if hasattr(head, "symbol") else head
self.out.write("%s.\n" % str(symbol))
atom = self.backend.add_atom(symbol)
# Only functions relevant for constructing bug reports for bad error messages
# are assumptions, and only when using cores.
choice = self.cores and symbol.name == "internal_error"
self.backend.add_rule([atom], [], choice=choice)
if choice:
self.assumptions.append(atom)
def solve(self, setup, specs, reuse=None, output=None, control=None):
"""Set up the input and solve for dependencies of ``specs``.
Arguments:
setup (SpackSolverSetup): An object to set up the ASP problem.
specs (list): List of ``Spec`` objects to solve for.
reuse (None or list): list of concrete specs that can be reused
output (None or OutputConfiguration): configuration object to set
the output of this solve.
control (clingo.Control): configuration for the solver. If None,
default values will be used
Return:
A tuple of the solve result, the timer for the different phases of the
solve, and the internal statistics from clingo.
"""
output = output or DEFAULT_OUTPUT_CONFIGURATION
# allow solve method to override the output stream
if output.out is not None:
self.out = output.out
timer = spack.util.timer.Timer()
# Initialize the control object for the solver
self.control = control or default_clingo_control()
# set up the problem -- this generates facts and rules
self.assumptions = []
with self.control.backend() as backend:
self.backend = backend
setup.setup(self, specs, reuse=reuse)
timer.phase("setup")
# read in the main ASP program and display logic -- these are
# handwritten, not generated, so we load them as resources
parent_dir = os.path.dirname(__file__)
# extract error messages from concretize.lp by inspecting its AST
with self.backend:
def visit(node):
if ast_type(node) == ASTType.Rule:
for term in node.body:
if ast_type(term) == ASTType.Literal:
if ast_type(term.atom) == ASTType.SymbolicAtom:
name = ast_sym(term.atom).name
if name == "internal_error":
arg = ast_sym(ast_sym(term.atom).arguments[0])
self.fact(AspFunction(name)(arg.string))
self.h1("Error messages")
path = os.path.join(parent_dir, "concretize.lp")
parse_files([path], visit)
# If we're only doing setup, just return an empty solve result
if output.setup_only:
return Result(specs), None, None
# Load the file itself
self.control.load(os.path.join(parent_dir, "concretize.lp"))
self.control.load(os.path.join(parent_dir, "os_compatibility.lp"))
self.control.load(os.path.join(parent_dir, "display.lp"))
timer.phase("load")
# Grounding is the first step in the solve -- it turns our facts
# and first-order logic rules into propositional logic.
self.control.ground([("base", [])])
timer.phase("ground")
# With a grounded program, we can run the solve.
result = Result(specs)
models = [] # stable models if things go well
cores = [] # unsatisfiable cores if they do not
def on_model(model):
models.append((model.cost, model.symbols(shown=True, terms=True)))
solve_kwargs = {
"assumptions": self.assumptions,
"on_model": on_model,
"on_core": cores.append,
}
if clingo_cffi:
solve_kwargs["on_unsat"] = cores.append
solve_result = self.control.solve(**solve_kwargs)
timer.phase("solve")
# once done, construct the solve result
result.satisfiable = solve_result.satisfiable
def stringify(x):
if clingo_cffi:
# Clingo w/ CFFI will throw an exception on failure
try:
return x.string
except RuntimeError:
return str(x)
else:
return x.string or str(x)
if result.satisfiable:
# build spec from the best model
builder = SpecBuilder(specs, hash_lookup=setup.reusable_and_possible)
min_cost, best_model = min(models)
tuples = [(sym.name, [stringify(a) for a in sym.arguments]) for sym in best_model]
answers = builder.build_specs(tuples)
# add best spec to the results
result.answers.append((list(min_cost), 0, answers))
result.criteria = build_criteria_names(min_cost, tuples)
# record the number of models the solver considered
result.nmodels = len(models)
# record the possible dependencies in the solve
result.possible_dependencies = setup.pkgs
elif cores:
result.control = self.control
result.cores.extend(cores)
if output.timers:
timer.write_tty()
print()
if output.stats:
print("Statistics:")
pprint.pprint(self.control.statistics)
return result, timer, self.control.statistics
class SpackSolverSetup(object):
"""Class to set up and run a Spack concretization solve."""
def __init__(self, tests=False):
self.gen = None # set by setup()
self.declared_versions = {}
self.possible_versions = {}
self.deprecated_versions = {}
self.possible_virtuals = None
self.possible_compilers = []
self.possible_oses = set()
self.variant_values_from_specs = set()
self.version_constraints = set()
self.target_constraints = set()
self.default_targets = []
self.compiler_version_constraints = set()
self.post_facts = []
# hashes we've already added facts for
self.seen_hashes = set()
self.reusable_and_possible = {}
# id for dummy variables
self._condition_id_counter = itertools.count()
# Caches to optimize the setup phase of the solver
self.target_specs_cache = None
# whether to add installed/binary hashes to the solve
self.tests = tests
# If False allows for input specs that are not solved
self.concretize_everything = True
# Set during the call to setup
self.pkgs = None
def pkg_version_rules(self, pkg):
"""Output declared versions of a package.
This uses self.declared_versions so that we include any versions
that arise from a spec.
"""
def key_fn(version):
# Origins are sorted by precedence defined in `version_origin_str`,
# then by order added.
return version.origin, version.idx
pkg = packagize(pkg)
declared_versions = self.declared_versions[pkg.name]
partially_sorted_versions = sorted(set(declared_versions), key=key_fn)
most_to_least_preferred = []
for _, group in itertools.groupby(partially_sorted_versions, key=key_fn):
most_to_least_preferred.extend(
list(sorted(group, reverse=True, key=lambda x: spack.version.ver(x.version)))
)
for weight, declared_version in enumerate(most_to_least_preferred):
self.gen.fact(
fn.version_declared(
pkg.name,
declared_version.version,
weight,
version_origin_str[declared_version.origin],
)
)
for v in most_to_least_preferred:
# There are two paths for creating the ref_version in GitVersions.
# The first uses a lookup to supply a tag and distance as a version.
# The second is user specified and can be resolved as a standard version.
# This second option is constrained such that the user version must be known to Spack
if (
isinstance(v.version, spack.version.GitVersion)
and v.version.user_supplied_reference
):
ref_version = spack.version.Version(v.version.ref_version_str)
self.gen.fact(fn.version_equivalent(pkg.name, v.version, ref_version))
# disqualify any git supplied version from user if they weren't already known
# versions in spack
if not any(ref_version == dv.version for dv in most_to_least_preferred if v != dv):
msg = (
"The reference version '{version}' for package '{package}' is not defined."
" Either choose another reference version or define '{version}' in your"
" version preferences or package.py file for {package}.".format(
package=pkg.name, version=str(ref_version)
)
)
raise UnsatisfiableSpecError(msg)
# Declare deprecated versions for this package, if any
deprecated = self.deprecated_versions[pkg.name]
for v in sorted(deprecated):
self.gen.fact(fn.deprecated_version(pkg.name, v))
def spec_versions(self, spec):
"""Return list of clauses expressing spec's version constraints."""
spec = specify(spec)
msg = "Internal Error: spec with no name occured. Please report to the spack maintainers."
assert spec.name, msg
if spec.concrete:
return [fn.version(spec.name, spec.version)]
if spec.versions == spack.version.ver(":"):
return []
# record all version constraints for later
self.version_constraints.add((spec.name, spec.versions))
return [fn.node_version_satisfies(spec.name, spec.versions)]
def target_ranges(self, spec, single_target_fn):
target = spec.architecture.target
# Check if the target is a concrete target
if str(target) in archspec.cpu.TARGETS:
return [single_target_fn(spec.name, target)]
self.target_constraints.add(target)
return [fn.node_target_satisfies(spec.name, target)]
def conflict_rules(self, pkg):
default_msg = "{0} '{1}' conflicts with '{2}'"
no_constraint_msg = "{0} conflicts with '{1}'"
for trigger, constraints in pkg.conflicts.items():
trigger_msg = "conflict trigger %s" % str(trigger)
trigger_id = self.condition(spack.spec.Spec(trigger), name=pkg.name, msg=trigger_msg)
for constraint, conflict_msg in constraints:
if conflict_msg is None:
if constraint == spack.spec.Spec():
conflict_msg = no_constraint_msg.format(pkg.name, trigger)
else:
conflict_msg = default_msg.format(pkg.name, trigger, constraint)
constraint_msg = "conflict constraint %s" % str(constraint)
constraint_id = self.condition(constraint, name=pkg.name, msg=constraint_msg)
self.gen.fact(fn.conflict(pkg.name, trigger_id, constraint_id, conflict_msg))
self.gen.newline()
def available_compilers(self):
"""Facts about available compilers."""
self.gen.h2("Available compilers")
compilers = self.possible_compilers
compiler_versions = collections.defaultdict(lambda: set())
for compiler in compilers:
compiler_versions[compiler.name].add(compiler.version)
for compiler in sorted(compiler_versions):
for v in sorted(compiler_versions[compiler]):
self.gen.fact(fn.compiler_version(compiler, v))
self.gen.newline()
def compiler_defaults(self):
"""Set compiler defaults, given a list of possible compilers."""
self.gen.h2("Default compiler preferences")
compiler_list = self.possible_compilers.copy()
compiler_list = sorted(compiler_list, key=lambda x: (x.name, x.version), reverse=True)
ppk = spack.package_prefs.PackagePrefs("all", "compiler", all=False)
matches = sorted(compiler_list, key=ppk)
for i, cspec in enumerate(matches):
f = fn.default_compiler_preference(cspec.name, cspec.version, i)
self.gen.fact(f)
# Enumerate target families. This may be redundant, but compilers with
# custom versions will be able to concretize properly.
for entry in spack.compilers.all_compilers_config():
compiler_entry = entry["compiler"]
cspec = spack.spec.CompilerSpec(compiler_entry["spec"])
if not compiler_entry.get("target", None):
continue
self.gen.fact(
fn.compiler_supports_target(cspec.name, cspec.version, compiler_entry["target"])
)
def compiler_supports_os(self):
compilers_yaml = spack.compilers.all_compilers_config()
for entry in compilers_yaml:
c = spack.spec.CompilerSpec(entry["compiler"]["spec"])
operating_system = entry["compiler"]["operating_system"]
self.gen.fact(fn.compiler_supports_os(c.name, c.version, operating_system))
def package_compiler_defaults(self, pkg):
"""Facts about packages' compiler prefs."""
packages = spack.config.get("packages")
pkg_prefs = packages.get(pkg.name)
if not pkg_prefs or "compiler" not in pkg_prefs:
return
compiler_list = self.possible_compilers.copy()
compiler_list = sorted(compiler_list, key=lambda x: (x.name, x.version), reverse=True)
ppk = spack.package_prefs.PackagePrefs(pkg.name, "compiler", all=False)
matches = sorted(compiler_list, key=ppk)
for i, cspec in enumerate(reversed(matches)):
self.gen.fact(
fn.node_compiler_preference(pkg.name, cspec.name, cspec.version, -i * 100)
)
def package_requirement_rules(self, pkg):
pkg_name = pkg.name
config = spack.config.get("packages")
requirements = config.get(pkg_name, {}).get("require", []) or config.get("all", {}).get(
"require", []
)
rules = self._rules_from_requirements(pkg_name, requirements)
self.emit_facts_from_requirement_rules(rules, virtual=False)
def _rules_from_requirements(self, pkg_name, requirements):
"""Manipulate requirements from packages.yaml, and return a list of tuples
with a uniform structure (name, policy, requirements).
"""
if isinstance(requirements, string_types):
rules = [(pkg_name, "one_of", [requirements])]
else:
rules = []
for requirement in requirements:
for policy in ("one_of", "any_of"):
if policy in requirement:
rules.append((pkg_name, policy, requirement[policy]))
return rules
def pkg_rules(self, pkg, tests):
pkg = packagize(pkg)
# versions
self.pkg_version_rules(pkg)
self.gen.newline()
# variants
for name, entry in sorted(pkg.variants.items()):
variant, when = entry
if spack.spec.Spec() in when:
# unconditional variant
self.gen.fact(fn.variant(pkg.name, name))
else:
# conditional variant
for w in when:
msg = "%s has variant %s" % (pkg.name, name)
if str(w):
msg += " when %s" % w
cond_id = self.condition(w, name=pkg.name, msg=msg)
self.gen.fact(fn.variant_condition(cond_id, pkg.name, name))
single_value = not variant.multi
if single_value:
self.gen.fact(fn.variant_single_value(pkg.name, name))
self.gen.fact(
fn.variant_default_value_from_package_py(pkg.name, name, variant.default)
)
else:
spec_variant = variant.make_default()
defaults = spec_variant.value
for val in sorted(defaults):
self.gen.fact(fn.variant_default_value_from_package_py(pkg.name, name, val))
values = variant.values
if values is None:
values = []
elif isinstance(values, spack.variant.DisjointSetsOfValues):
union = set()
# Encode the disjoint sets in the logic program
for sid, s in enumerate(values.sets):
for value in s:
self.gen.fact(
fn.variant_value_from_disjoint_sets(pkg.name, name, value, sid)
)
union.update(s)
values = union
# make sure that every variant has at least one possible value
if not values:
values = [variant.default]
for value in sorted(values):
self.gen.fact(fn.variant_possible_value(pkg.name, name, value))
if hasattr(value, "when"):
required = spack.spec.Spec("{0}={1}".format(name, value))
imposed = spack.spec.Spec(value.when)
imposed.name = pkg.name
self.condition(
required_spec=required,
imposed_spec=imposed,
name=pkg.name,
msg="%s variant %s value %s when %s" % (pkg.name, name, value, when),
)
if variant.sticky:
self.gen.fact(fn.variant_sticky(pkg.name, name))
self.gen.newline()
# conflicts
self.conflict_rules(pkg)
# default compilers for this package
self.package_compiler_defaults(pkg)
# virtuals
self.package_provider_rules(pkg)
# dependencies
self.package_dependencies_rules(pkg)
# virtual preferences
self.virtual_preferences(
pkg.name,
lambda v, p, i: self.gen.fact(fn.pkg_provider_preference(pkg.name, v, p, i)),
)
self.package_requirement_rules(pkg)
def condition(self, required_spec, imposed_spec=None, name=None, msg=None, node=False):
"""Generate facts for a dependency or virtual provider condition.
Arguments:
required_spec (spack.spec.Spec): the spec that triggers this condition
imposed_spec (spack.spec.Spec or None): the spec with constraints that
are imposed when this condition is triggered
name (str or None): name for `required_spec` (required if
required_spec is anonymous, ignored if not)
msg (str or None): description of the condition
node (bool): if False does not emit "node" or "virtual_node" requirements
from the imposed spec
Returns:
int: id of the condition created by this function
"""
named_cond = required_spec.copy()
named_cond.name = named_cond.name or name
assert named_cond.name, "must provide name for anonymous condtions!"
condition_id = next(self._condition_id_counter)
self.gen.fact(fn.condition(condition_id, msg))
# requirements trigger the condition
requirements = self.spec_clauses(named_cond, body=True, required_from=name)
for pred in requirements:
self.gen.fact(fn.condition_requirement(condition_id, pred.name, *pred.args))
if imposed_spec:
self.impose(condition_id, imposed_spec, node=node, name=name)
return condition_id
def impose(self, condition_id, imposed_spec, node=True, name=None, body=False):
imposed_constraints = self.spec_clauses(imposed_spec, body=body, required_from=name)
for pred in imposed_constraints:
# imposed "node"-like conditions are no-ops
if not node and pred.name in ("node", "virtual_node"):
continue
self.gen.fact(fn.imposed_constraint(condition_id, pred.name, *pred.args))
def package_provider_rules(self, pkg):
for provider_name in sorted(set(s.name for s in pkg.provided.keys())):
self.gen.fact(fn.possible_provider(pkg.name, provider_name))
for provided, whens in pkg.provided.items():
for when in whens:
msg = "%s provides %s when %s" % (pkg.name, provided, when)
condition_id = self.condition(when, provided, pkg.name, msg)
self.gen.fact(fn.provider_condition(condition_id, when.name, provided.name))
self.gen.newline()
def package_dependencies_rules(self, pkg):
"""Translate 'depends_on' directives into ASP logic."""
for _, conditions in sorted(pkg.dependencies.items()):
for cond, dep in sorted(conditions.items()):
deptypes = dep.type.copy()
# Skip test dependencies if they're not requested
if not self.tests:
deptypes.discard("test")
# ... or if they are requested only for certain packages
if not isinstance(self.tests, bool) and pkg.name not in self.tests:
deptypes.discard("test")
# if there are no dependency types to be considered
# anymore, don't generate the dependency
if not deptypes:
continue
msg = "%s depends on %s" % (pkg.name, dep.spec.name)
if cond != spack.spec.Spec():
msg += " when %s" % cond
condition_id = self.condition(cond, dep.spec, pkg.name, msg)
self.gen.fact(fn.dependency_condition(condition_id, pkg.name, dep.spec.name))
for t in sorted(deptypes):
# there is a declared dependency of type t
self.gen.fact(fn.dependency_type(condition_id, t))
self.gen.newline()
def virtual_preferences(self, pkg_name, func):
"""Call func(vspec, provider, i) for each of pkg's provider prefs."""
config = spack.config.get("packages")
pkg_prefs = config.get(pkg_name, {}).get("providers", {})
for vspec, providers in pkg_prefs.items():
if vspec not in self.possible_virtuals:
continue
for i, provider in enumerate(providers):
provider_name = spack.spec.Spec(provider).name
func(vspec, provider_name, i)
def provider_defaults(self):
self.gen.h2("Default virtual providers")
msg = (
"Internal Error: possible_virtuals is not populated. Please report to the spack"
" maintainers"
)
assert self.possible_virtuals is not None, msg
self.virtual_preferences(
"all",
lambda v, p, i: self.gen.fact(fn.default_provider_preference(v, p, i)),
)
def provider_requirements(self):
self.gen.h2("Requirements on virtual providers")
msg = (
"Internal Error: possible_virtuals is not populated. Please report to the spack"
" maintainers"
)
packages_yaml = spack.config.config.get("packages")
assert self.possible_virtuals is not None, msg
for virtual_str in sorted(self.possible_virtuals):
requirements = packages_yaml.get(virtual_str, {}).get("require", [])
rules = self._rules_from_requirements(virtual_str, requirements)
self.emit_facts_from_requirement_rules(rules, virtual=True)
def emit_facts_from_requirement_rules(self, rules, virtual=False):
"""Generate facts to enforce requirements from packages.yaml."""
for requirement_grp_id, (pkg_name, policy, requirement_grp) in enumerate(rules):
self.gen.fact(fn.requirement_group(pkg_name, requirement_grp_id))
self.gen.fact(fn.requirement_policy(pkg_name, requirement_grp_id, policy))
for requirement_weight, spec_str in enumerate(requirement_grp):
spec = spack.spec.Spec(spec_str)
if not spec.name:
spec.name = pkg_name
when_spec = spec
if virtual:
when_spec = spack.spec.Spec(pkg_name)
member_id = self.condition(
required_spec=when_spec, imposed_spec=spec, name=pkg_name, node=virtual
)
self.gen.fact(fn.requirement_group_member(member_id, pkg_name, requirement_grp_id))
self.gen.fact(fn.requirement_has_weight(member_id, requirement_weight))
def external_packages(self):
"""Facts on external packages, as read from packages.yaml"""
# Read packages.yaml and normalize it, so that it
# will not contain entries referring to virtual
# packages.
packages_yaml = spack.config.get("packages")
packages_yaml = _normalize_packages_yaml(packages_yaml)
self.gen.h1("External packages")
for pkg_name, data in packages_yaml.items():
if pkg_name == "all":
continue
# This package does not appear in any repository
if pkg_name not in spack.repo.path:
continue
self.gen.h2("External package: {0}".format(pkg_name))
# Check if the external package is buildable. If it is
# not then "external(<pkg>)" is a fact, unless we can
# reuse an already installed spec.
external_buildable = data.get("buildable", True)
if not external_buildable:
self.gen.fact(fn.buildable_false(pkg_name))
# Read a list of all the specs for this package
externals = data.get("externals", [])
external_specs = [spack.spec.Spec(x["spec"]) for x in externals]
# Order the external versions to prefer more recent versions
# even if specs in packages.yaml are not ordered that way
external_versions = [
(x.version, external_id) for external_id, x in enumerate(external_specs)
]
external_versions = [
(v, idx, external_id)
for idx, (v, external_id) in enumerate(sorted(external_versions, reverse=True))
]
for version, idx, external_id in external_versions:
self.declared_versions[pkg_name].append(
DeclaredVersion(version=version, idx=idx, origin=version_provenance.external)
)
# Declare external conditions with a local index into packages.yaml
for local_idx, spec in enumerate(external_specs):
msg = "%s available as external when satisfying %s" % (spec.name, spec)
condition_id = self.condition(spec, msg=msg)
self.gen.fact(fn.possible_external(condition_id, pkg_name, local_idx))
self.possible_versions[spec.name].add(spec.version)
self.gen.newline()
def preferred_variants(self, pkg_name):
"""Facts on concretization preferences, as read from packages.yaml"""
preferences = spack.package_prefs.PackagePrefs
preferred_variants = preferences.preferred_variants(pkg_name)
if not preferred_variants:
return
for variant_name in sorted(preferred_variants):
variant = preferred_variants[variant_name]
values = variant.value
if not isinstance(values, tuple):
values = (values,)
# perform validation of the variant and values
spec = spack.spec.Spec(pkg_name)
spec.update_variant_validate(variant_name, values)
for value in values:
self.variant_values_from_specs.add((pkg_name, variant.name, value))
self.gen.fact(
fn.variant_default_value_from_packages_yaml(pkg_name, variant.name, value)
)
def target_preferences(self, pkg_name):
key_fn = spack.package_prefs.PackagePrefs(pkg_name, "target")
if not self.target_specs_cache:
self.target_specs_cache = [
spack.spec.Spec("target={0}".format(target_name))
for _, target_name in self.default_targets
]
package_targets = self.target_specs_cache[:]
package_targets.sort(key=key_fn)
offset = 0
best_default = self.default_targets[0][1]
for i, preferred in enumerate(package_targets):
if str(preferred.architecture.target) == best_default and i != 0:
offset = 100
self.gen.fact(
fn.target_weight(pkg_name, str(preferred.architecture.target), i + offset)
)
def flag_defaults(self):
self.gen.h2("Compiler flag defaults")
# types of flags that can be on specs
for flag in spack.spec.FlagMap.valid_compiler_flags():
self.gen.fact(fn.flag_type(flag))
self.gen.newline()
# flags from compilers.yaml
compilers = all_compilers_in_config()
for compiler in compilers:
for name, flags in compiler.flags.items():
for flag in flags:
self.gen.fact(
fn.compiler_version_flag(compiler.name, compiler.version, name, flag)
)
def spec_clauses(self, *args, **kwargs):
"""Wrap a call to `_spec_clauses()` into a try/except block that
raises a comprehensible error message in case of failure.
"""
requestor = kwargs.pop("required_from", None)
try:
clauses = self._spec_clauses(*args, **kwargs)
except RuntimeError as exc:
msg = str(exc)
if requestor:
msg += ' [required from package "{0}"]'.format(requestor)
raise RuntimeError(msg)
return clauses
def _spec_clauses(
self,
spec,
body=False,
transitive=True,
expand_hashes=False,
concrete_build_deps=False,
):
"""Return a list of clauses for a spec mandates are true.
Arguments:
spec (spack.spec.Spec): the spec to analyze
body (bool): if True, generate clauses to be used in rule bodies
(final values) instead of rule heads (setters).
transitive (bool): if False, don't generate clauses from
dependencies (default True)
expand_hashes (bool): if True, descend into hashes of concrete specs
(default False)
concrete_build_deps (bool): if False, do not include pure build deps
of concrete specs (as they have no effect on runtime constraints)
Normally, if called with ``transitive=True``, ``spec_clauses()`` just generates
hashes for the dependency requirements of concrete specs. If ``expand_hashes``
is ``True``, we'll *also* output all the facts implied by transitive hashes,
which are redundant during a solve but useful outside of one (e.g.,
for spec ``diff``).
"""
clauses = []
# TODO: do this with consistent suffixes.
class Head(object):
node = fn.node
virtual_node = fn.virtual_node
node_platform = fn.node_platform_set
node_os = fn.node_os_set
node_target = fn.node_target_set
variant_value = fn.variant_set
node_compiler = fn.node_compiler_set
node_compiler_version = fn.node_compiler_version_set
node_flag = fn.node_flag_set
node_flag_propagate = fn.node_flag_propagate
variant_propagate = fn.variant_propagate
class Body(object):
node = fn.node
virtual_node = fn.virtual_node
node_platform = fn.node_platform
node_os = fn.node_os
node_target = fn.node_target
variant_value = fn.variant_value
node_compiler = fn.node_compiler
node_compiler_version = fn.node_compiler_version
node_flag = fn.node_flag
node_flag_propagate = fn.node_flag_propagate
variant_propagate = fn.variant_propagate
f = Body if body else Head
if spec.name:
clauses.append(f.node(spec.name) if not spec.virtual else f.virtual_node(spec.name))
clauses.extend(self.spec_versions(spec))
# seed architecture at the root (we'll propagate later)
# TODO: use better semantics.
arch = spec.architecture
if arch:
if arch.platform:
clauses.append(f.node_platform(spec.name, arch.platform))
if arch.os:
clauses.append(f.node_os(spec.name, arch.os))
if arch.target:
clauses.extend(self.target_ranges(spec, f.node_target))
# variants
for vname, variant in sorted(spec.variants.items()):
values = variant.value
if not isinstance(values, (list, tuple)):
values = [values]
for value in values:
# * is meaningless for concretization -- just for matching
if value == "*":
continue
# validate variant value only if spec not concrete
if not spec.concrete:
reserved_names = spack.directives.reserved_names
if not spec.virtual and vname not in reserved_names:
pkg_cls = spack.repo.path.get_pkg_class(spec.name)
try:
variant_def, _ = pkg_cls.variants[vname]
except KeyError:
msg = 'variant "{0}" not found in package "{1}"'
raise RuntimeError(msg.format(vname, spec.name))
else:
variant_def.validate_or_raise(
variant, spack.repo.path.get_pkg_class(spec.name)
)
clauses.append(f.variant_value(spec.name, vname, value))
if variant.propagate:
clauses.append(f.variant_propagate(spec.name, vname, value, spec.name))
# Tell the concretizer that this is a possible value for the
# variant, to account for things like int/str values where we
# can't enumerate the valid values
self.variant_values_from_specs.add((spec.name, vname, value))
# compiler and compiler version
if spec.compiler:
clauses.append(f.node_compiler(spec.name, spec.compiler.name))
if spec.compiler.concrete:
clauses.append(
f.node_compiler_version(spec.name, spec.compiler.name, spec.compiler.version)
)
elif spec.compiler.versions:
clauses.append(
fn.node_compiler_version_satisfies(
spec.name, spec.compiler.name, spec.compiler.versions
)
)
self.compiler_version_constraints.add(spec.compiler)
# compiler flags
for flag_type, flags in spec.compiler_flags.items():
for flag in flags:
clauses.append(f.node_flag(spec.name, flag_type, flag))
if not spec.concrete and flag.propagate is True:
clauses.append(f.node_flag_propagate(spec.name, flag_type))
# dependencies
if spec.concrete:
# older specs do not have package hashes, so we have to do this carefully
if getattr(spec, "_package_hash", None):
clauses.append(fn.package_hash(spec.name, spec._package_hash))
clauses.append(fn.hash(spec.name, spec.dag_hash()))
# add all clauses from dependencies
if transitive:
# TODO: Eventually distinguish 2 deps on the same pkg (build and link)
for dspec in spec.edges_to_dependencies():
dep = dspec.spec
if spec.concrete:
# We know dependencies are real for concrete specs. For abstract
# specs they just mean the dep is somehow in the DAG.
for dtype in dspec.deptypes:
# skip build dependencies of already-installed specs
if concrete_build_deps or dtype != "build":
clauses.append(fn.depends_on(spec.name, dep.name, dtype))
# imposing hash constraints for all but pure build deps of
# already-installed concrete specs.
if concrete_build_deps or dspec.deptypes != ("build",):
clauses.append(fn.hash(dep.name, dep.dag_hash()))
# if the spec is abstract, descend into dependencies.
# if it's concrete, then the hashes above take care of dependency
# constraints, but expand the hashes if asked for.
if not spec.concrete or expand_hashes:
clauses.extend(
self._spec_clauses(
dep,
body=body,
expand_hashes=expand_hashes,
concrete_build_deps=concrete_build_deps,
)
)
return clauses
def build_version_dict(self, possible_pkgs, specs):
"""Declare any versions in specs not declared in packages."""
self.declared_versions = collections.defaultdict(list)
self.possible_versions = collections.defaultdict(set)
self.deprecated_versions = collections.defaultdict(set)
packages_yaml = spack.config.get("packages")
packages_yaml = _normalize_packages_yaml(packages_yaml)
for pkg_name in possible_pkgs:
pkg_cls = spack.repo.path.get_pkg_class(pkg_name)
# All the versions from the corresponding package.py file. Since concepts
# like being a "develop" version or being preferred exist only at a
# package.py level, sort them in this partial list here
def key_fn(item):
version, info = item
# When COMPARING VERSIONS, the '@develop' version is always
# larger than other versions. BUT when CONCRETIZING, the largest
# NON-develop version is selected by default.
return info.get("preferred", False), not version.isdevelop(), version
for idx, item in enumerate(sorted(pkg_cls.versions.items(), key=key_fn, reverse=True)):
v, version_info = item
self.possible_versions[pkg_name].add(v)
self.declared_versions[pkg_name].append(
DeclaredVersion(version=v, idx=idx, origin=version_provenance.package_py)
)
deprecated = version_info.get("deprecated", False)
if deprecated:
self.deprecated_versions[pkg_name].add(v)
# All the preferred version from packages.yaml, versions in external
# specs will be computed later
version_preferences = packages_yaml.get(pkg_name, {}).get("version", [])
for idx, v in enumerate(version_preferences):
# v can be a string so force it into an actual version for comparisons
ver = spack.version.Version(v)
self.declared_versions[pkg_name].append(
DeclaredVersion(version=ver, idx=idx, origin=version_provenance.packages_yaml)
)
for spec in specs:
for dep in spec.traverse():
if not dep.versions.concrete:
continue
known_versions = self.possible_versions[dep.name]
if not isinstance(dep.version, spack.version.GitVersion) and any(
v.satisfies(dep.version) for v in known_versions
):
# some version we know about satisfies this constraint, so we
# should use that one. e.g, if the user asks for qt@5 and we
# know about qt@5.5. This ensures we don't add under-specified
# versions to the solver
#
# For git versions, we know the version is already fully specified
# so we don't have to worry about whether it's an under-specified
# version
continue
# if there is a concrete version on the CLI *that we know nothing
# about*, add it to the known versions. Use idx=0, which is the
# best possible, so they're guaranteed to be used preferentially.
self.declared_versions[dep.name].append(
DeclaredVersion(version=dep.version, idx=0, origin=version_provenance.spec)
)
self.possible_versions[dep.name].add(dep.version)
def _supported_targets(self, compiler_name, compiler_version, targets):
"""Get a list of which targets are supported by the compiler.
Results are ordered most to least recent.
"""
supported = []
for target in targets:
try:
with warnings.catch_warnings():
warnings.simplefilter("ignore")
target.optimization_flags(compiler_name, compiler_version)
supported.append(target)
except archspec.cpu.UnsupportedMicroarchitecture:
continue
except ValueError:
continue
return sorted(supported, reverse=True)
def platform_defaults(self):
self.gen.h2("Default platform")
platform = spack.platforms.host()
self.gen.fact(fn.node_platform_default(platform))
def os_defaults(self, specs):
self.gen.h2("Possible operating systems")
platform = spack.platforms.host()
# create set of OS's to consider
buildable = set(platform.operating_sys.keys())
# Consider any OS's mentioned on the command line. We need this to
# cross-concretize in CI, and for some tests.
# TODO: OS should really be more than just a label -- rework this.
for spec in specs:
if spec.architecture and spec.architecture.os:
buildable.add(spec.architecture.os)
# make directives for buildable OS's
for build_os in sorted(buildable):
self.gen.fact(fn.buildable_os(build_os))
def keyfun(os):
return (
os == platform.default_os, # prefer default
os not in buildable, # then prefer buildables
os, # then sort by name
)
all_oses = buildable.union(self.possible_oses)
ordered_oses = sorted(all_oses, key=keyfun, reverse=True)
# output the preference order of OS's for the concretizer to choose
for i, os_name in enumerate(ordered_oses):
self.gen.fact(fn.os(os_name, i))
def target_defaults(self, specs):
"""Add facts about targets and target compatibility."""
self.gen.h2("Default target")
platform = spack.platforms.host()
uarch = archspec.cpu.TARGETS.get(platform.default)
self.gen.h2("Target compatibility")
# Construct the list of targets which are compatible with the host
candidate_targets = [uarch] + uarch.ancestors
# Get configuration options
granularity = spack.config.get("concretizer:targets:granularity")
host_compatible = spack.config.get("concretizer:targets:host_compatible")
# Add targets which are not compatible with the current host
if not host_compatible:
additional_targets_in_family = sorted(
[
t
for t in archspec.cpu.TARGETS.values()
if (t.family.name == uarch.family.name and t not in candidate_targets)
],
key=lambda x: len(x.ancestors),
reverse=True,
)
candidate_targets += additional_targets_in_family
# Check if we want only generic architecture
if granularity == "generic":
candidate_targets = [t for t in candidate_targets if t.vendor == "generic"]
compilers = self.possible_compilers
# Add targets explicitly requested from specs
for spec in specs:
if not spec.architecture or not spec.architecture.target:
continue
target = archspec.cpu.TARGETS.get(spec.target.name)
if not target:
self.target_ranges(spec, None)
continue
if target not in candidate_targets and not host_compatible:
candidate_targets.append(target)
for ancestor in target.ancestors:
if ancestor not in candidate_targets:
candidate_targets.append(ancestor)
best_targets = set([uarch.family.name])
for compiler in sorted(compilers):
supported = self._supported_targets(compiler.name, compiler.version, candidate_targets)
# If we can't find supported targets it may be due to custom
# versions in the spec, e.g. gcc@foo. Try to match the
# real_version from the compiler object to get more accurate
# results.
if not supported:
compiler_obj = spack.compilers.compilers_for_spec(compiler)
compiler_obj = compiler_obj[0]
supported = self._supported_targets(
compiler.name, compiler_obj.real_version, candidate_targets
)
if not supported:
continue
for target in supported:
best_targets.add(target.name)
self.gen.fact(
fn.compiler_supports_target(compiler.name, compiler.version, target.name)
)
self.gen.fact(
fn.compiler_supports_target(compiler.name, compiler.version, uarch.family.name)
)
i = 0 # TODO compute per-target offset?
for target in candidate_targets:
self.gen.fact(fn.target(target.name))
self.gen.fact(fn.target_family(target.name, target.family.name))
for parent in sorted(target.parents):
self.gen.fact(fn.target_parent(target.name, parent.name))
# prefer best possible targets; weight others poorly so
# they're not used unless set explicitly
# these are stored to be generated as facts later offset by the
# number of preferred targets
if target.name in best_targets:
self.default_targets.append((i, target.name))
i += 1
else:
self.default_targets.append((100, target.name))
self.default_targets = list(sorted(set(self.default_targets)))
self.gen.newline()
def virtual_providers(self):
self.gen.h2("Virtual providers")
msg = (
"Internal Error: possible_virtuals is not populated. Please report to the spack"
" maintainers"
)
assert self.possible_virtuals is not None, msg
# what provides what
for vspec in sorted(self.possible_virtuals):
self.gen.fact(fn.virtual(vspec))
self.gen.newline()
def generate_possible_compilers(self, specs):
compilers = all_compilers_in_config()
cspecs = set([c.spec for c in compilers])
# add compiler specs from the input line to possibilities if we
# don't require compilers to exist.
strict = spack.concretize.Concretizer().check_for_compiler_existence
for spec in specs:
for s in spec.traverse():
# we don't need to validate compilers for already-built specs
if s.concrete:
continue
if not s.compiler or not s.compiler.concrete:
continue
if strict and s.compiler not in cspecs:
if not s.concrete:
raise spack.concretize.UnavailableCompilerVersionError(s.compiler)
# Allow unknown compilers to exist if the associated spec
# is already built
else:
cspecs.add(s.compiler)
self.gen.fact(fn.allow_compiler(s.compiler.name, s.compiler.version))
return cspecs
def define_version_constraints(self):
"""Define what version_satisfies(...) means in ASP logic."""
for pkg_name, versions in sorted(self.version_constraints):
# version must be *one* of the ones the spec allows.
allowed_versions = [
v for v in sorted(self.possible_versions[pkg_name]) if v.satisfies(versions)
]
# This is needed to account for a variable number of
# numbers e.g. if both 1.0 and 1.0.2 are possible versions
exact_match = [v for v in allowed_versions if v == versions]
if exact_match:
allowed_versions = exact_match
# generate facts for each package constraint and the version
# that satisfies it
for v in allowed_versions:
self.gen.fact(fn.version_satisfies(pkg_name, versions, v))
self.gen.newline()
def define_virtual_constraints(self):
"""Define versions for constraints on virtuals.
Must be called before define_version_constraints().
"""
# aggregate constraints into per-virtual sets
constraint_map = collections.defaultdict(lambda: set())
for pkg_name, versions in self.version_constraints:
if not spack.repo.path.is_virtual(pkg_name):
continue
constraint_map[pkg_name].add(versions)
# extract all the real versions mentioned in version ranges
def versions_for(v):
if isinstance(v, spack.version.VersionBase):
return [v]
elif isinstance(v, spack.version.VersionRange):
result = [v.start] if v.start else []
result += [v.end] if v.end else []
return result
elif isinstance(v, spack.version.VersionList):
return sum((versions_for(e) for e in v), [])
else:
raise TypeError("expected version type, found: %s" % type(v))
# define a set of synthetic possible versions for virtuals, so
# that `version_satisfies(Package, Constraint, Version)` has the
# same semantics for virtuals as for regular packages.
for pkg_name, versions in sorted(constraint_map.items()):
possible_versions = set(sum([versions_for(v) for v in versions], []))
for version in sorted(possible_versions):
self.possible_versions[pkg_name].add(version)
def define_compiler_version_constraints(self):
compiler_list = spack.compilers.all_compiler_specs()
compiler_list = list(sorted(set(compiler_list)))
for constraint in sorted(self.compiler_version_constraints):
for compiler in compiler_list:
if compiler.satisfies(constraint):
self.gen.fact(
fn.compiler_version_satisfies(
constraint.name, constraint.versions, compiler.version
)
)
self.gen.newline()
def define_target_constraints(self):
def _all_targets_satisfiying(single_constraint):
allowed_targets = []
if ":" not in single_constraint:
return [single_constraint]
t_min, _, t_max = single_constraint.partition(":")
for test_target in archspec.cpu.TARGETS.values():
# Check lower bound
if t_min and not t_min <= test_target:
continue
# Check upper bound
if t_max and not t_max >= test_target:
continue
allowed_targets.append(test_target)
return allowed_targets
cache = {}
for target_constraint in sorted(self.target_constraints):
# Construct the list of allowed targets for this constraint
allowed_targets = []
for single_constraint in str(target_constraint).split(","):
if single_constraint not in cache:
cache[single_constraint] = _all_targets_satisfiying(single_constraint)
allowed_targets.extend(cache[single_constraint])
for target in allowed_targets:
self.gen.fact(fn.target_satisfies(target_constraint, target))
self.gen.newline()
def define_variant_values(self):
"""Validate variant values from the command line.
Also add valid variant values from the command line to the
possible values for a variant.
"""
# Tell the concretizer about possible values from specs we saw in
# spec_clauses(). We might want to order these facts by pkg and name
# if we are debugging.
for pkg, variant, value in self.variant_values_from_specs:
self.gen.fact(fn.variant_possible_value(pkg, variant, value))
def _facts_from_concrete_spec(self, spec, possible):
# tell the solver about any installed packages that could
# be dependencies (don't tell it about the others)
h = spec.dag_hash()
if spec.name in possible and h not in self.seen_hashes:
self.reusable_and_possible[h] = spec
try:
# Only consider installed packages for repo we know
spack.repo.path.get(spec)
except (spack.repo.UnknownNamespaceError, spack.repo.UnknownPackageError):
return
# this indicates that there is a spec like this installed
self.gen.fact(fn.installed_hash(spec.name, h))
# this describes what constraints it imposes on the solve
self.impose(h, spec, body=True)
self.gen.newline()
# Declare as possible parts of specs that are not in package.py
# - Add versions to possible versions
# - Add OS to possible OS's
for dep in spec.traverse():
self.possible_versions[dep.name].add(dep.version)
self.declared_versions[dep.name].append(
DeclaredVersion(
version=dep.version, idx=0, origin=version_provenance.installed
)
)
self.possible_oses.add(dep.os)
# add the hash to the one seen so far
self.seen_hashes.add(h)
def define_concrete_input_specs(self, specs, possible):
# any concrete specs in the input spec list
for input_spec in specs:
for spec in input_spec.traverse():
if spec.concrete:
self._facts_from_concrete_spec(spec, possible)
def setup(self, driver, specs, reuse=None):
"""Generate an ASP program with relevant constraints for specs.
This calls methods on the solve driver to set up the problem with
facts and rules from all possible dependencies of the input
specs, as well as constraints from the specs themselves.
Arguments:
driver (PyclingoDriver): driver instance of this solve
specs (list): list of Specs to solve
reuse (None or list): list of concrete specs that can be reused
"""
self._condition_id_counter = itertools.count()
# preliminary checks
check_packages_exist(specs)
# get list of all possible dependencies
self.possible_virtuals = set(x.name for x in specs if x.virtual)
possible = spack.package_base.possible_dependencies(
*specs, virtuals=self.possible_virtuals, deptype=spack.dependency.all_deptypes
)
# Fail if we already know an unreachable node is requested
for spec in specs:
missing_deps = [
str(d) for d in spec.traverse() if d.name not in possible and not d.virtual
]
if missing_deps:
raise spack.spec.InvalidDependencyError(spec.name, missing_deps)
self.pkgs = set(possible)
# driver is used by all the functions below to add facts and
# rules to generate an ASP program.
self.gen = driver
# get possible compilers
self.possible_compilers = self.generate_possible_compilers(specs)
# traverse all specs and packages to build dict of possible versions
self.build_version_dict(possible, specs)
self.gen.h1("Concrete input spec definitions")
self.define_concrete_input_specs(specs, possible)
if reuse:
self.gen.h1("Reusable specs")
self.gen.fact(fn.optimize_for_reuse())
for reusable_spec in reuse:
self._facts_from_concrete_spec(reusable_spec, possible)
self.gen.h1("General Constraints")
self.available_compilers()
self.compiler_defaults()
self.compiler_supports_os()
# architecture defaults
self.platform_defaults()
self.os_defaults(specs)
self.target_defaults(specs)
self.virtual_providers()
self.provider_defaults()
self.provider_requirements()
self.external_packages()
self.flag_defaults()
self.gen.h1("Package Constraints")
for pkg in sorted(self.pkgs):
self.gen.h2("Package rules: %s" % pkg)
self.pkg_rules(pkg, tests=self.tests)
self.gen.h2("Package preferences: %s" % pkg)
self.preferred_variants(pkg)
self.target_preferences(pkg)
# Inject dev_path from environment
env = ev.active_environment()
if env:
for spec in sorted(specs):
for dep in spec.traverse():
_develop_specs_from_env(dep, env)
self.gen.h1("Spec Constraints")
self.literal_specs(specs)
self.gen.h1("Variant Values defined in specs")
self.define_variant_values()
self.gen.h1("Virtual Constraints")
self.define_virtual_constraints()
self.gen.h1("Version Constraints")
self.define_version_constraints()
self.gen.h1("Compiler Version Constraints")
self.define_compiler_version_constraints()
self.gen.h1("Target Constraints")
self.define_target_constraints()
def literal_specs(self, specs):
for idx, spec in enumerate(specs):
self.gen.h2("Spec: %s" % str(spec))
self.gen.fact(fn.literal(idx))
root_fn = fn.virtual_root(spec.name) if spec.virtual else fn.root(spec.name)
self.gen.fact(fn.literal(idx, root_fn.name, *root_fn.args))
for clause in self.spec_clauses(spec):
self.gen.fact(fn.literal(idx, clause.name, *clause.args))
if clause.name == "variant_set":
self.gen.fact(fn.literal(idx, "variant_default_value_from_cli", *clause.args))
if self.concretize_everything:
self.gen.fact(fn.concretize_everything())
class SpecBuilder(object):
"""Class with actions to rebuild a spec from ASP results."""
#: Attributes that don't need actions
ignored_attributes = ["opt_criterion"]
def __init__(self, specs, hash_lookup=None):
self._specs = {}
self._result = None
self._command_line_specs = specs
self._flag_sources = collections.defaultdict(lambda: set())
self._flag_compiler_defaults = set()
# Pass in as arguments reusable specs and plug them in
# from this dictionary during reconstruction
self._hash_lookup = hash_lookup or {}
def hash(self, pkg, h):
if pkg not in self._specs:
self._specs[pkg] = self._hash_lookup[h]
def node(self, pkg):
if pkg not in self._specs:
self._specs[pkg] = spack.spec.Spec(pkg)
def _arch(self, pkg):
arch = self._specs[pkg].architecture
if not arch:
arch = spack.spec.ArchSpec()
self._specs[pkg].architecture = arch
return arch
def node_platform(self, pkg, platform):
self._arch(pkg).platform = platform
def node_os(self, pkg, os):
self._arch(pkg).os = os
def node_target(self, pkg, target):
self._arch(pkg).target = target
def error(self, priority, msg, *args):
msg = msg.format(*args)
# For variant formatting, we sometimes have to construct specs
# to format values properly. Find/replace all occurances of
# Spec(...) with the string representation of the spec mentioned
specs_to_construct = re.findall(r"Spec\(([^)]*)\)", msg)
for spec_str in specs_to_construct:
msg = msg.replace("Spec(%s)" % spec_str, str(spack.spec.Spec(spec_str)))
raise UnsatisfiableSpecError(msg)
def variant_value(self, pkg, name, value):
# FIXME: is there a way not to special case 'dev_path' everywhere?
if name == "dev_path":
self._specs[pkg].variants.setdefault(
name, spack.variant.SingleValuedVariant(name, value)
)
return
if name == "patches":
self._specs[pkg].variants.setdefault(
name, spack.variant.MultiValuedVariant(name, value)
)
return
self._specs[pkg].update_variant_validate(name, value)
def version(self, pkg, version):
self._specs[pkg].versions = spack.version.ver([version])
def node_compiler(self, pkg, compiler):
self._specs[pkg].compiler = spack.spec.CompilerSpec(compiler)
def node_compiler_version(self, pkg, compiler, version):
self._specs[pkg].compiler.versions = spack.version.VersionList([version])
def node_flag_compiler_default(self, pkg):
self._flag_compiler_defaults.add(pkg)
def node_flag(self, pkg, flag_type, flag):
self._specs[pkg].compiler_flags.add_flag(flag_type, flag, False)
def node_flag_source(self, pkg, flag_type, source):
self._flag_sources[(pkg, flag_type)].add(source)
def no_flags(self, pkg, flag_type):
self._specs[pkg].compiler_flags[flag_type] = []
def external_spec_selected(self, pkg, idx):
"""This means that the external spec and index idx
has been selected for this package.
"""
packages_yaml = spack.config.get("packages")
packages_yaml = _normalize_packages_yaml(packages_yaml)
spec_info = packages_yaml[pkg]["externals"][int(idx)]
self._specs[pkg].external_path = spec_info.get("prefix", None)
self._specs[pkg].external_modules = spack.spec.Spec._format_module_list(
spec_info.get("modules", None)
)
self._specs[pkg].extra_attributes = spec_info.get("extra_attributes", {})
def depends_on(self, pkg, dep, type):
dependencies = self._specs[pkg].edges_to_dependencies(name=dep)
# TODO: assertion to be removed when cross-compilation is handled correctly
msg = "Current solver does not handle multiple dependency edges of the same name"
assert len(dependencies) < 2, msg
if not dependencies:
self._specs[pkg].add_dependency_edge(self._specs[dep], (type,))
else:
# TODO: This assumes that each solve unifies dependencies
dependencies[0].add_type(type)
def reorder_flags(self):
"""Order compiler flags on specs in predefined order.
We order flags so that any node's flags will take priority over
those of its dependents. That is, the deepest node in the DAG's
flags will appear last on the compile line, in the order they
were specified.
The solver determines wihch flags are on nodes; this routine
imposes order afterwards.
"""
# nodes with no flags get flag order from compiler
compilers = dict((c.spec, c) for c in all_compilers_in_config())
for pkg in self._flag_compiler_defaults:
spec = self._specs[pkg]
compiler_flags = compilers[spec.compiler].flags
for key in spec.compiler_flags:
spec_compiler_flags_set = set(spec.compiler_flags.get(key, []))
compiler_flags_set = set(compiler_flags.get(key, []))
assert spec_compiler_flags_set == compiler_flags_set, "%s does not equal %s" % (
spec_compiler_flags_set,
compiler_flags_set,
)
spec.compiler_flags[key] = compiler_flags.get(key, [])
# index of all specs (and deps) from the command line by name
cmd_specs = dict((s.name, s) for spec in self._command_line_specs for s in spec.traverse())
# iterate through specs with specified flags
for key, sources in self._flag_sources.items():
pkg, flag_type = key
spec = self._specs[pkg]
compiler_flags = spec.compiler_flags.get(flag_type, [])
# order is determined by the DAG. A spec's flags come after
# any from its ancestors on the compile line.
order = [s.name for s in spec.traverse(order="post", direction="parents")]
# sort the sources in our DAG order
sorted_sources = sorted(sources, key=lambda s: order.index(s))
# add flags from each source, lowest to highest precedence
flags = []
for source_name in sorted_sources:
source = cmd_specs[source_name]
extend_flag_list(flags, source.compiler_flags.get(flag_type, []))
assert set(compiler_flags) == set(flags), "%s does not equal %s" % (
set(compiler_flags),
set(flags),
)
spec.compiler_flags.update({flag_type: source.compiler_flags[flag_type]})
def deprecated(self, pkg, version):
msg = 'using "{0}@{1}" which is a deprecated version'
tty.warn(msg.format(pkg, version))
@staticmethod
def sort_fn(function_tuple):
name = function_tuple[0]
if name == "error":
priority = function_tuple[1][0]
return (-5, priority)
elif name == "hash":
return (-4, 0)
elif name == "node":
return (-3, 0)
elif name == "node_compiler":
return (-2, 0)
elif name == "node_flag":
return (-1, 0)
else:
return (0, 0)
def build_specs(self, function_tuples):
# Functions don't seem to be in particular order in output. Sort
# them here so that directives that build objects (like node and
# node_compiler) are called in the right order.
self.function_tuples = function_tuples
self.function_tuples.sort(key=self.sort_fn)
self._specs = {}
for name, args in function_tuples:
if name in SpecBuilder.ignored_attributes:
continue
action = getattr(self, name, None)
# print out unknown actions so we can display them for debugging
if not action:
msg = "%s(%s)" % (name, ", ".join(str(a) for a in args))
tty.debug(msg)
continue
msg = (
"Internal Error: Uncallable action found in asp.py. Please report to the spack"
" maintainers."
)
assert action and callable(action), msg
# ignore predicates on virtual packages, as they're used for
# solving but don't construct anything. Do not ignore error
# predicates on virtual packages.
if name != "error":
pkg = args[0]
if spack.repo.path.is_virtual(pkg):
continue
# if we've already gotten a concrete spec for this pkg,
# do not bother calling actions on it.
spec = self._specs.get(pkg)
if spec and spec.concrete:
continue
action(*args)
# namespace assignment is done after the fact, as it is not
# currently part of the solve
for spec in self._specs.values():
if spec.namespace:
continue
repo = spack.repo.path.repo_for_pkg(spec)
spec.namespace = repo.namespace
# fix flags after all specs are constructed
self.reorder_flags()
# inject patches -- note that we' can't use set() to unique the
# roots here, because the specs aren't complete, and the hash
# function will loop forever.
roots = [spec.root for spec in self._specs.values() if not spec.root.installed]
roots = dict((id(r), r) for r in roots)
for root in roots.values():
spack.spec.Spec.inject_patches_variant(root)
# Add external paths to specs with just external modules
for s in self._specs.values():
spack.spec.Spec.ensure_external_path_if_external(s)
for s in self._specs.values():
_develop_specs_from_env(s, ev.active_environment())
# mark concrete and assign hashes to all specs in the solve
for root in roots.values():
root._finalize_concretization()
for s in self._specs.values():
spack.spec.Spec.ensure_no_deprecated(s)
# Add git version lookup info to concrete Specs (this is generated for
# abstract specs as well but the Versions may be replaced during the
# concretization process)
for root in self._specs.values():
for spec in root.traverse():
if isinstance(spec.version, spack.version.GitVersion):
spec.version.generate_git_lookup(spec.fullname)
return self._specs
def _develop_specs_from_env(spec, env):
dev_info = env.dev_specs.get(spec.name, {}) if env else {}
if not dev_info:
return
path = spack.util.path.canonicalize_path(dev_info["path"], default_wd=env.path)
if "dev_path" in spec.variants:
error_msg = (
"Internal Error: The dev_path for spec {name} is not connected to a valid environment"
"path. Please note that develop specs can only be used inside an environment"
"These paths should be the same:\n\tdev_path:{dev_path}\n\tenv_based_path:{env_path}"
)
error_msg.format(name=spec.name, dev_path=spec.variants["dev_path"], env_path=path)
assert spec.variants["dev_path"].value == path, error_msg
else:
spec.variants.setdefault("dev_path", spack.variant.SingleValuedVariant("dev_path", path))
spec.constrain(dev_info["spec"])
class Solver(object):
"""This is the main external interface class for solving.
It manages solver configuration and preferences in one place. It sets up the solve
and passes the setup method to the driver, as well.
Properties of interest:
``reuse (bool)``
Whether to try to reuse existing installs/binaries
"""
def __init__(self):
self.driver = PyclingoDriver()
# These properties are settable via spack configuration, and overridable
# by setting them directly as properties.
self.reuse = spack.config.get("concretizer:reuse", False)
@staticmethod
def _check_input_and_extract_concrete_specs(specs):
reusable = []
for root in specs:
for s in root.traverse():
if s.virtual:
continue
if s.concrete:
reusable.append(s)
spack.spec.Spec.ensure_valid_variants(s)
return reusable
def _reusable_specs(self):
reusable_specs = []
if self.reuse:
# Specs from the local Database
with spack.store.db.read_transaction():
reusable_specs.extend(
[
s
for s in spack.store.db.query(installed=True)
if not s.satisfies("dev_path=*")
]
)
# Specs from buildcaches
try:
index = spack.binary_distribution.update_cache_and_get_specs()
reusable_specs.extend(index)
except (spack.binary_distribution.FetchCacheError, IndexError):
# this is raised when no mirrors had indices.
# TODO: update mirror configuration so it can indicate that the
# TODO: source cache (or any mirror really) doesn't have binaries.
pass
return reusable_specs
def solve(
self,
specs,
out=None,
timers=False,
stats=False,
tests=False,
setup_only=False,
):
"""
Arguments:
specs (list): List of ``Spec`` objects to solve for.
out: Optionally write the generate ASP program to a file-like object.
timers (bool): Print out coarse fimers for different solve phases.
stats (bool): Print out detailed stats from clingo.
tests (bool or tuple): If True, concretize test dependencies for all packages.
If a tuple of package names, concretize test dependencies for named
packages (defaults to False: do not concretize test dependencies).
setup_only (bool): if True, stop after setup and don't solve (default False).
"""
# Check upfront that the variants are admissible
reusable_specs = self._check_input_and_extract_concrete_specs(specs)
reusable_specs.extend(self._reusable_specs())
setup = SpackSolverSetup(tests=tests)
output = OutputConfiguration(timers=timers, stats=stats, out=out, setup_only=setup_only)
result, _, _ = self.driver.solve(setup, specs, reuse=reusable_specs, output=output)
return result
def solve_in_rounds(
self,
specs,
out=None,
timers=False,
stats=False,
tests=False,
):
"""Solve for a stable model of specs in multiple rounds.
This relaxes the assumption of solve that everything must be consistent and
solvable in a single round. Each round tries to maximize the reuse of specs
from previous rounds.
The function is a generator that yields the result of each round.
Arguments:
specs (list): list of Specs to solve.
out: Optionally write the generate ASP program to a file-like object.
timers (bool): print timing if set to True
stats (bool): print internal statistics if set to True
tests (bool): add test dependencies to the solve
"""
reusable_specs = self._check_input_and_extract_concrete_specs(specs)
reusable_specs.extend(self._reusable_specs())
setup = SpackSolverSetup(tests=tests)
# Tell clingo that we don't have to solve all the inputs at once
setup.concretize_everything = False
input_specs = specs
output = OutputConfiguration(timers=timers, stats=stats, out=out, setup_only=False)
while True:
result, _, _ = self.driver.solve(
setup, input_specs, reuse=reusable_specs, output=output
)
yield result
# If we don't have unsolved specs we are done
if not result.unsolved_specs:
break
# This means we cannot progress with solving the input
if not result.satisfiable or not result.specs:
break
input_specs = result.unsolved_specs
for spec in result.specs:
reusable_specs.extend(spec.traverse())
class UnsatisfiableSpecError(spack.error.UnsatisfiableSpecError):
"""
Subclass for new constructor signature for new concretizer
"""
def __init__(self, msg):
super(spack.error.UnsatisfiableSpecError, self).__init__(msg)
self.provided = None
self.required = None
self.constraint_type = None
class InternalConcretizerError(spack.error.UnsatisfiableSpecError):
"""
Subclass for new constructor signature for new concretizer
"""
def __init__(self, provided, conflicts):
indented = [" %s\n" % conflict for conflict in conflicts]
error_msg = "".join(indented)
msg = "Spack concretizer internal error. Please submit a bug report"
msg += "\n Please include the command, environment if applicable,"
msg += "\n and the following error message."
msg = "\n %s is unsatisfiable, errors are:\n%s" % (provided, error_msg)
super(spack.error.UnsatisfiableSpecError, self).__init__(msg)
self.provided = provided
# Add attribute expected of the superclass interface
self.required = None
self.constraint_type = None
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