def __init__(
self, stim_provider, items, contexts, n_pos, rng=None,
extra_pos=3):
super(Vocabularies, self).__init__()
vocabs = Config.default(spa.Network, 'vocabs')
if vocabs is None:
vocabs = VocabularyMap(rng=rng)
self.vocabs = vocabs
self.items = items
if is_integer(contexts):
contexts = spa.Vocabulary(contexts, rng=rng)
self.contexts = contexts
self.positions = spa.Vocabulary(self.items.dimensions, rng=rng)
self.items.populate(';'.join(stim_provider.get_all_items()))
if stim_provider.n_distractors_per_epoch > 0:
self.items.populate(';'.join(stim_provider.get_all_distractors()))
for i in range(self.items.dimensions):
self.contexts.populate('CTX' + str(i))
for i in range(n_pos + extra_pos):
self.positions.populate('P' + str(i))
def coerce(self, conn, solver):
if solver is ConnectionDefault:
solver = Config.default(Connection, 'solver')
solver = super().coerce(conn, solver)
if solver is not None and solver.weights:
raise ValidationError("weight solvers only work for ensemble to "
"ensemble connections, not probes",
attr=self.name, obj=conn)
return solver
def coerce(self, conn, solver):
if solver is ConnectionDefault:
solver = Config.default(Connection, 'solver')
solver = super().coerce(conn, solver)
if solver is not None and solver.weights:
raise ValidationError(
"weight solvers only work for ensemble to "
"ensemble connections, not probes",
attr=self.name,
obj=conn)
return solver
def __setattr__(self, name, val):
if hasattr(self, '_initialized') and not hasattr(self, name):
warnings.warn(
"Creating new attribute '%s' on '%s'. "
"Did you mean to change an existing attribute?" % (name, self),
SyntaxWarning)
if val is Default:
val = Config.default(type(self), name)
try:
super(NengoObject, self).__setattr__(name, val)
except Exception as e:
arg0 = '' if len(e.args) == 0 else e.args[0]
arg0 = ("Validation error when setting '%s.%s': %s" %
(self.__class__.__name__, name, arg0))
e.args = (arg0, ) + e.args[1:]
raise
def __setattr__(self, name, val):
if hasattr(self, '_initialized') and not hasattr(self, name):
warnings.warn(
"Creating new attribute '%s' on '%s'. "
"Did you mean to change an existing attribute?" % (name, self),
SyntaxWarning)
if val is Default:
val = Config.default(type(self), name)
try:
super(NengoObject, self).__setattr__(name, val)
except Exception as e:
arg0 = '' if len(e.args) == 0 else e.args[0]
arg0 = ("Validation error when setting '%s.%s': %s"
% (self.__class__.__name__, name, arg0))
e.args = (arg0,) + e.args[1:]
raise
def __setattr__(self, name, val):
if hasattr(self, '_initialized') and not hasattr(self, name):
warnings.warn(
"Creating new attribute '%s' on '%s'. "
"Did you mean to change an existing attribute?" % (name, self),
SyntaxWarning)
if val is Default:
val = Config.default(type(self), name)
if rc.getboolean('exceptions', 'simplified'):
try:
super(NengoObject, self).__setattr__(name, val)
except ValidationError:
exc_info = sys.exc_info()
reraise(exc_info[0], exc_info[1], None)
else:
super(NengoObject, self).__setattr__(name, val)
def __setattr__(self, name, val):
if hasattr(self, '_initialized') and not hasattr(self, name):
warnings.warn(
"Creating new attribute '%s' on '%s'. "
"Did you mean to change an existing attribute?" % (name, self),
SyntaxWarning)
if val is Default:
val = Config.default(type(self), name)
if rc.getboolean('exceptions', 'simplified'):
try:
super(NengoObject, self).__setattr__(name, val)
except ValidationError:
exc_info = sys.exc_info()
reraise(exc_info[0], exc_info[1], None)
else:
super(NengoObject, self).__setattr__(name, val)
def __init__(self,
label=None,
seed=None,
add_to_container=None,
vocabs=None):
super(Network, self).__init__(label, seed, add_to_container)
self.config.configures(Network)
if vocabs is None:
vocabs = Config.default(Network, 'vocabs')
if vocabs is None and len(Network.context) > 0:
vocabs = self._master_vocabs.get(Network.context[0], None)
if vocabs is None:
if seed is not None:
rng = np.random.RandomState(seed)
else:
rng = None
vocabs = VocabularyMap(rng=rng)
if len(Network.context) > 0:
self.__class__._master_vocabs[Network.context[0]] = vocabs
self.vocabs = vocabs
self.config[Network].vocabs = vocabs
self._stimuli = None
def coerce(self, conn, solver): # pylint: disable=arguments-renamed
if solver is ConnectionDefault:
solver = Config.default(Connection, "solver")
return super().coerce(conn, solver)
def __set__(self, instance, value):
if value is ConnectionDefault:
value = Config.default(Connection, "solver")
super(ProbeSolverParam, self).__set__(instance, value)
def coerce(self, conn, solver):
if solver is ConnectionDefault:
solver = Config.default(Connection, "solver")
return super().coerce(conn, solver)
def __set__(self, instance, value):
if value is ConnectionDefault:
value = Config.default(Connection, 'solver')
super(ProbeSolverParam, self).__set__(instance, value)
