def construct_types(project, name, target_types, prop_set, sources):
result = []
usage_requirements = property_set.empty()
for t in target_types:
r = construct(project, name, t, prop_set, sources)
if r:
(ur, targets) = r
usage_requirements = usage_requirements.add(ur)
result.extend(targets)
# TODO: have to introduce parameter controlling if
# several types can be matched and add appropriate
# checks
# TODO: need to review the documentation for
# 'construct' to see if it should return $(source) even
# if nothing can be done with it. Currents docs seem to
# imply that, contrary to the behaviour.
if result:
return (usage_requirements, result)
else:
return (usage_requirements, sources)
def construct(self, name, source_targets, properties):
if __debug__:
from .virtual_target import VirtualTarget
assert isinstance(name, basestring)
assert is_iterable_typed(source_targets, VirtualTarget)
assert isinstance(properties, property_set.PropertySet)
return [property_set.empty(), source_targets]
def try_one_generator_really(project, name, generator, target_type, properties,
sources):
""" Returns usage requirements + list of created targets.
"""
targets = generator.run(project, name, properties, sources)
usage_requirements = []
success = False
dout("returned " + str(targets))
if targets:
success = True
if isinstance(targets[0], property_set.PropertySet):
usage_requirements = targets[0]
targets = targets[1]
else:
usage_requirements = property_set.empty()
dout(" generator" + generator.id() + " spawned ")
# generators.dout [ indent ] " " $(targets) ;
# if $(usage-requirements)
# {
# generators.dout [ indent ] " with usage requirements:" $(x) ;
# }
if success:
return (usage_requirements, targets)
else:
return None
def construct_types (project, name, target_types, prop_set, sources):
result = []
usage_requirements = property_set.empty()
for t in target_types:
r = construct (project, name, t, prop_set, sources)
if r:
(ur, targets) = r
usage_requirements = usage_requirements.add(ur)
result.extend(targets)
# TODO: have to introduce parameter controlling if
# several types can be matched and add appropriate
# checks
# TODO: need to review the documentation for
# 'construct' to see if it should return $(source) even
# if nothing can be done with it. Currents docs seem to
# imply that, contrary to the behaviour.
if result:
return (usage_requirements, result)
else:
return (usage_requirements, sources)
def try_one_generator_really (project, name, generator, target_type, properties, sources):
""" Returns usage requirements + list of created targets.
"""
targets = generator.run (project, name, properties, sources)
usage_requirements = []
success = False
dout("returned " + str(targets))
if targets:
success = True;
if isinstance (targets[0], property_set.PropertySet):
usage_requirements = targets [0]
targets = targets [1]
else:
usage_requirements = property_set.empty ()
dout( " generator" + generator.id() + " spawned ")
# generators.dout [ indent ] " " $(targets) ;
# if $(usage-requirements)
# {
# generators.dout [ indent ] " with usage requirements:" $(x) ;
# }
if success:
return (usage_requirements, targets)
else:
return None
def construct(self, name, source_targets, properties):
if __debug__:
from .virtual_target import VirtualTarget
assert isinstance(name, basestring)
assert is_iterable_typed(source_targets, VirtualTarget)
assert isinstance(properties, property_set.PropertySet)
return [property_set.empty(), source_targets]
def construct(self, name, source_targets, properties):
return [property_set.empty(), source_targets]
def construct(self, name, source_targets, properties):
return [property_set.empty(), source_targets]