def test_native_rng_pick(self):
rng = Mock()
rng.seed = 28754
rarr = simulator.nativeRNG_pick(100, rng, 'uniform', [-3, 6])
assert isinstance(rarr, numpy.ndarray)
self.assertEqual(rarr.shape, (100,))
assert -3 <= rarr.min() < -2.5
assert 5.5 < rarr.max() < 6
def test_native_rng_pick(self):
rng = Mock()
rng.seed = 28754
rarr = simulator.nativeRNG_pick(100, rng, 'uniform', [-3, 6])
assert isinstance(rarr, numpy.ndarray)
self.assertEqual(rarr.shape, (100,))
assert -3 <= rarr.min() < -2.5
assert 5.5 < rarr.max() < 6
def randomizeDelays(self, rand_distr):
"""
Set delays to random values taken from rand_distr.
"""
# If we have a native rng, we do the loops in hoc. Otherwise, we do the loops in
# Python
if isinstance(rand_distr.rng, NativeRNG):
rarr = simulator.nativeRNG_pick(len(self), rand_distr.rng,
rand_distr.name,
rand_distr.parameters)
else:
rarr = rand_distr.next(len(self))
logger.info("--- Projection[%s].__randomizeDelays__() ---" %
self.label)
self.setDelays(rarr)
try:
val = value[addr]
except IndexError, e:
raise IndexError("%s. addr=%s" % (e, addr))
if numpy.isnan(val):
raise Exception(
"Array contains no value for synapse from %d to %d" %
(c.source, c.target))
else:
setattr(c, name, val)
elif core.is_listlike(value):
for c, val in zip(self.connections, value):
setattr(c, name, val)
elif isinstance(value, RandomDistribution):
if isinstance(value.rng, NativeRNG):
rarr = simulator.nativeRNG_pick(len(self), value.rng,
value.name, value.parameters)
else:
rarr = value.next(len(self))
for c, val in zip(self.connections, rarr):
setattr(c, name, val)
else:
raise TypeError(
"Argument should be a numeric type (int, float...), a list, or a numpy array."
)
def get(self, parameter_name, format, gather=True):
"""
Get the values of a given attribute (weight, delay, etc) for all
connections on the local MPI node.
`parameter_name` -- name of the attribute whose values are wanted.
addr = (self.pre.id_to_index(c.source), self.post.id_to_index(c.target))
try:
val = value[addr]
except IndexError, e:
raise IndexError("%s. addr=%s" % (e, addr))
if numpy.isnan(val):
raise Exception("Array contains no value for synapse from %d to %d" % (c.source, c.target))
else:
setattr(c, name, val)
elif core.is_listlike(value):
for c,val in zip(self.connections, value):
setattr(c, name, val)
elif isinstance(value, RandomDistribution):
if isinstance(value.rng, NativeRNG):
rarr = simulator.nativeRNG_pick(len(self),
value.rng,
value.name,
value.parameters)
else:
rarr = value.next(len(self))
for c,val in zip(self.connections, rarr):
setattr(c, name, val)
else:
raise TypeError("Argument should be a numeric type (int, float...), a list, or a numpy array.")
def get(self, parameter_name, format, gather=True):
"""
Get the values of a given attribute (weight, delay, etc) for all
connections on the local MPI node.
`parameter_name` -- name of the attribute whose values are wanted.
`format` -- "list" or "array". Array format implicitly assumes that all
