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])