def test_learn_synapse_connections(self):
active = np.array([[1, 1], [1, 1]])
input_vector = np.array([[1, 0], [0, 0]])
p_inc = 0.1
p_dec = 0.1
part_deque = partial(RingBuffer, input_array=np.zeros(2), copy=True)
activity = defaultdict(part_deque)
overlap_sum = defaultdict(part_deque)
min_activity = np.array([[1, 0], [0, 0]])
boost = np.array([[1, 1], [1, 1]])
b_inc = 1
p_mult = 1
columns, synapse_modified =\
BSP.learn_synapse_connections(self.columns, active,
input_vector, p_inc, p_dec,
activity, overlap_sum,
min_activity, boost, b_inc,
p_mult)
self.assertIsInstance(columns, np.ndarray)
self.assertEqual(columns.shape, (2, 2, 2, 2))
self.assertListEqual(columns.tolist(), [
[
[[0.1, 0.], [0., 0.]],
[[0.1, 0.], [0., 0.]]
],
[
[[0.1, 0.], [0., 0.]],
[[0.1, 0.], [0., 0.]]
]
])
self.assertIsInstance(synapse_modified, types.BooleanType)
self.assertFalse(synapse_modified)
