def test_mapSegmentsToSynapseCounts(self):
connections = SparseMatrixConnections(2048, 2048)
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43, 44], 0.5)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [3, 3, 3])
segments2 = connections.createSegments([4, 5])
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments2), [0, 0])
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts([]), [])
def test_mapSegmentsToSynapseCounts(self):
connections = SparseMatrixConnections(2048, 2048)
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43, 44], 0.5)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[3, 3, 3])
segments2 = connections.createSegments([4, 5])
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments2),
[0, 0])
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts([]),
[])
def test_clipPermanences(self):
connections = SparseMatrixConnections(2048, 2048)
# Destroy synapses with permanences <= 0.0
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43, 44], 0.05)
connections.growSynapses(segments, [45, 46], 0.1)
connections.adjustInactiveSynapses(segments, [], -0.1)
connections.clipPermanences(segments)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [0, 0, 0])
# Clip permanences to 1.0
connections.growSynapses(segments, [42, 43, 44], 0.95)
connections.adjustInactiveSynapses(segments, [], 0.50)
connections.clipPermanences(segments)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [3, 3, 3])
connections.adjustInactiveSynapses(segments, [], -0.5)
overlaps1 = connections.computeActivity([42, 43, 44], 0.49)
overlaps2 = connections.computeActivity([42, 43, 44], 0.51)
np.testing.assert_equal(overlaps1, [3, 3, 3])
np.testing.assert_equal(overlaps2, [0, 0, 0])
def test_clipPermanences(self):
connections = SparseMatrixConnections(2048, 2048)
# Destroy synapses with permanences <= 0.0
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43, 44], 0.05)
connections.growSynapses(segments, [45, 46], 0.1)
connections.adjustInactiveSynapses(segments, [], -0.1)
connections.clipPermanences(segments)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[0, 0, 0])
# Clip permanences to 1.0
connections.growSynapses(segments, [42, 43, 44], 0.95)
connections.adjustInactiveSynapses(segments, [], 0.50)
connections.clipPermanences(segments)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[3, 3, 3])
connections.adjustInactiveSynapses(segments, [], -0.5)
overlaps1 = connections.computeActivity([42, 43, 44], 0.49)
overlaps2 = connections.computeActivity([42, 43, 44], 0.51)
np.testing.assert_equal(overlaps1, [3, 3, 3])
np.testing.assert_equal(overlaps2, [0, 0, 0])
def test_whenPermanenceFallsBelowZero(self):
connections = SparseMatrixConnections(2048, 2048)
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustSynapses(segments, [42, 43], -0.06, 0.0)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustSynapses(segments, [], 0.0, -0.06)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustActiveSynapses(segments, [42, 43], -0.06)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustInactiveSynapses(segments, [], -0.06)
np.testing.assert_equal(
connections.mapSegmentsToSynapseCounts(segments), [0, 0, 0])
def test_whenPermanenceFallsBelowZero(self):
connections = SparseMatrixConnections(2048, 2048)
segments = connections.createSegments([1, 2, 3])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustSynapses(segments, [42, 43], -0.06, 0.0)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustSynapses(segments, [], 0.0, -0.06)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustActiveSynapses(segments, [42, 43], -0.06)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[0, 0, 0])
connections.growSynapses(segments, [42, 43], 0.05)
connections.adjustInactiveSynapses(segments, [], -0.06)
np.testing.assert_equal(connections.mapSegmentsToSynapseCounts(segments),
[0, 0, 0])
