def test_surrogate_get_item(self):
test_vertex = MyTestVertex()
self.assertEqual(test_vertex.cm, 0.2)
self.assertEqual(test_vertex.tau_refract, 0.0)
self.assertEqual(test_vertex.tau_syn_E, 5.0)
surrogate = PyNNParametersSurrogate(test_vertex)
self.assertEqual(surrogate['cm'], 0.2)
self.assertEqual(surrogate['tau_refract'], 0.0)
self.assertEqual(surrogate['tau_syn_E'], 5.0)
def __init__(self,
size,
cellclass,
cellparams,
spinnaker,
label,
structure=None):
"""
Instantiates a :py:object:`Population`.
"""
if size is not None and size <= 0:
raise exceptions.ConfigurationException(
"A population cannot have a negative or zero size.")
# Create a partitionable_graph vertex for the population and add it
# to PACMAN
cell_label = label
if label is None:
cell_label = "Population {}"\
.format(Population._non_labelled_vertex_count)
Population._non_labelled_vertex_count += 1
cellparams['label'] = cell_label
cellparams['n_neurons'] = size
cellparams['machine_time_step'] = spinnaker.machine_time_step
cellparams['timescale_factor'] = spinnaker.timescale_factor
cellparams['spikes_per_second'] = spinnaker.spikes_per_second
cellparams['ring_buffer_sigma'] = spinnaker.ring_buffer_sigma
self._vertex = cellclass(**cellparams)
self._spinnaker = spinnaker
self._delay_vertex = None
# Internal structure now supported 23 November 2014 ADR
# structure should be a valid Space.py structure type.
# generation of positions is deferred until needed.
if structure:
self._structure = structure
self._positions = None
else:
self._structure = None
self._spinnaker._add_population(self)
self._spinnaker.add_vertex(self._vertex)
self._parameters = PyNNParametersSurrogate(self._vertex)
# initialize common stuff
self._size = size
self._record_spike_file = None
self._record_v_file = None
self._record_gsyn_file = None
self._spikes = None
self._v = None
self._gsyn = None
def test_surrogate_set_item(self):
test_vertex = MyTestVertex()
self.assertEqual(test_vertex.cm, 0.2)
self.assertEqual(test_vertex.tau_refract, 0.0)
self.assertEqual(test_vertex.tau_syn_E, 5.0)
surrogate = PyNNParametersSurrogate(test_vertex)
surrogate['cm'] = 2.0
surrogate['tau_refract'] = 10.5
surrogate['tau_syn_E'] = 15
self.assertEqual(surrogate['cm'], 2.0)
self.assertEqual(surrogate['tau_refract'], 10.5)
self.assertEqual(surrogate['tau_syn_E'], 15)
self.assertEqual(test_vertex.cm, 2.0)
self.assertEqual(test_vertex.tau_refract, 10.5)
self.assertEqual(test_vertex.tau_syn_E, 15)
def test_surrogate_set_item_exception(self):
test_vertex = MyTestVertex()
surrogate = PyNNParametersSurrogate(test_vertex)
with self.assertRaises(Exception):
surrogate['tau_rev_e'] = 5
