def testAdaptSegmentToMin(self):
tm = TemporalMemory()
segment1 = tm.layer.columns[0].cells[0].createSegment()
synapse1 = segment1.createSynapse(presynapticCell=tm.layer.columns[0].cells[23], permanence=0.1)
tm.adaptSegment(segment1, set(),
tm.permanenceIncrement,
tm.permanenceDecrement)
synapses = segment1.synapses
self.assertFalse(synapse1 in synapses)
def testAdaptSegmentToMax(self):
tm = TemporalMemory()
segment1 = tm.layer.columns[0].cells[0].createSegment()
synapse1 = segment1.createSynapse(presynapticCell=tm.layer.columns[0].cells[23], permanence=0.9)
tm.adaptSegment(segment1, set([synapse1]),
tm.permanenceIncrement,
tm.permanenceDecrement)
self.assertAlmostEqual(synapse1.permanence, 1.0)
# Now permanence should be at max
tm.adaptSegment(segment1, set([synapse1]),
tm.permanenceIncrement,
tm.permanenceDecrement)
self.assertAlmostEqual(synapse1.permanence, 1.0)
def testAdaptSegment(self):
tm = TemporalMemory(
layer=Layer(columnDimensions=[2048], numCellsPerColumn=32)
)
segment1 = tm.layer.columns[0].cells[0].createSegment()
synapse1 = segment1.createSynapse(presynapticCell=tm.layer.columns[0].cells[23], permanence=0.6)
synapse2 = segment1.createSynapse(presynapticCell=tm.layer.columns[1].cells[5], permanence=0.4)
synapse3 = segment1.createSynapse(presynapticCell=tm.layer.columns[14].cells[29], permanence=0.9)
tm.adaptSegment(segment1, set([synapse1, synapse2]),
tm.permanenceIncrement,
tm.permanenceDecrement)
self.assertAlmostEqual(synapse1.permanence, 0.7)
self.assertAlmostEqual(synapse2.permanence, 0.5)
self.assertAlmostEqual(synapse3.permanence, 0.8)