def test_get_weights_as_array_with_multapses(self, sim=sim):
C = sim.FixedNumberPreConnector(n=7, rng=MockRNG(delta=1))
prj = sim.Projection(self.p2, self.p3, C, synapse_type=self.syn1)
# because we use a fake RNG, it is always the last three presynaptic cells which receive the double connection
target = numpy.array([
[0.006, 0.006, 0.006, 0.006, 0.006],
[0.012, 0.012, 0.012, 0.012, 0.012],
[0.012, 0.012, 0.012, 0.012, 0.012],
[0.012, 0.012, 0.012, 0.012, 0.012],
])
weights = prj.get("weight", format="array", gather=False) # use gather False because we are faking the MPI
assert_array_equal(weights, target)
def test_get_weights_as_array_with_multapses_min(self, sim=sim):
C = sim.FixedNumberPreConnector(n=7, rng=MockRNG(delta=1))
prj = sim.Projection(self.p2, self.p3, C, synapse_type=self.syn1)
target = np.array([
[0.006, 0.006, 0.006, 0.006, 0.006],
[0.006, 0.006, 0.006, 0.006, 0.006],
[0.006, 0.006, 0.006, 0.006, 0.006],
[0.006, 0.006, 0.006, 0.006, 0.006],
])
# use gather False because we are faking the MPI
weights = prj.get("weight", format="array", gather=False, multiple_synapses='min')
assert_array_equal(weights, target)