def testBestMatchingCell(self):
tm = TemporalMemory(connectedPermanence=0.50, minThreshold=1, seed=42)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.4)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(0)
connections.createSynapse(1, 49, 0.9)
connections.createSynapse(1, 3, 0.8)
connections.createSegment(1)
connections.createSynapse(2, 733, 0.7)
connections.createSegment(108)
connections.createSynapse(3, 486, 0.9)
activeCells = set([23, 37, 49, 733])
self.assertEqual(
tm.bestMatchingCell(tm.cellsForColumn(0), activeCells), (0, 0))
self.assertEqual(
tm.bestMatchingCell(
tm.cellsForColumn(3), # column containing cell 108
activeCells),
(103, None)) # Random cell from column
self.assertEqual(
tm.bestMatchingCell(tm.cellsForColumn(999), activeCells),
(31979, None)) # Random cell from column
def testCellsForColumnInvalidColumn(self):
tm = TemporalMemory(columnDimensions=[64, 64], cellsPerColumn=4)
try:
tm.cellsForColumn(4095)
except IndexError:
self.fail("IndexError raised unexpectedly")
args = [4096]
self.assertRaises(IndexError, tm.cellsForColumn, *args)
args = [-1]
self.assertRaises(IndexError, tm.cellsForColumn, *args)
def testCellsForColumnInvalidColumn(self):
tm = TemporalMemory(
columnDimensions=[64, 64],
cellsPerColumn=4
)
try:
tm.cellsForColumn(4095)
except IndexError:
self.fail("IndexError raised unexpectedly")
args = [4096]
self.assertRaises(IndexError, tm.cellsForColumn, *args)
args = [-1]
self.assertRaises(IndexError, tm.cellsForColumn, *args)
def testCellsForColumn2D(self):
tm = TemporalMemory(
columnDimensions=[64, 64],
cellsPerColumn=4
)
expectedCells = set([256, 257, 258, 259])
self.assertEqual(tm.cellsForColumn(64), expectedCells)
def testCellsForColumn1D(self):
tm = TemporalMemory(
columnDimensions=[2048],
cellsPerColumn=5
)
expectedCells = set([5, 6, 7, 8, 9])
self.assertEqual(tm.cellsForColumn(1), expectedCells)
def testLeastUsedCell(self):
tm = TemporalMemory(columnDimensions=[2], cellsPerColumn=2, seed=42)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 3, 0.3)
for _ in range(100):
# Never pick cell 0, always pick cell 1
self.assertEqual(tm.leastUsedCell(tm.cellsForColumn(0)), 1)
def testBestMatchingCell(self):
tm = TemporalMemory(
connectedPermanence=0.50,
minThreshold=1,
seed=42
)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 23, 0.6)
connections.createSynapse(0, 37, 0.4)
connections.createSynapse(0, 477, 0.9)
connections.createSegment(0)
connections.createSynapse(1, 49, 0.9)
connections.createSynapse(1, 3, 0.8)
connections.createSegment(1)
connections.createSynapse(2, 733, 0.7)
connections.createSegment(108)
connections.createSynapse(3, 486, 0.9)
activeCells = set([23, 37, 49, 733])
self.assertEqual(tm.bestMatchingCell(tm.cellsForColumn(0),
activeCells,
connections),
(0, 0))
self.assertEqual(tm.bestMatchingCell(tm.cellsForColumn(3), # column containing cell 108
activeCells,
connections),
(96, None)) # Random cell from column
self.assertEqual(tm.bestMatchingCell(tm.cellsForColumn(999),
activeCells,
connections),
(31972, None)) # Random cell from column
def testLeastUsedCell(self):
tm = TemporalMemory(
columnDimensions=[2],
cellsPerColumn=2,
seed=42
)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 3, 0.3)
for _ in range(100):
# Never pick cell 0, always pick cell 1
self.assertEqual(tm.leastUsedCell(tm.cellsForColumn(0)), 1)
def testBestMatchingCellFewestSegments(self):
tm = TemporalMemory(columnDimensions=[2],
cellsPerColumn=2,
connectedPermanence=0.50,
minThreshold=1,
seed=42)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 3, 0.3)
activeSynapsesForSegment = set([])
for _ in range(100):
# Never pick cell 0, always pick cell 1
(cell, _) = tm.bestMatchingCell(tm.cellsForColumn(0),
activeSynapsesForSegment)
self.assertEqual(cell, 1)
def testBestMatchingCellFewestSegments(self):
tm = TemporalMemory(
columnDimensions=[2],
cellsPerColumn=2,
connectedPermanence=0.50,
minThreshold=1,
seed=42
)
connections = tm.connections
connections.createSegment(0)
connections.createSynapse(0, 3, 0.3)
activeSynapsesForSegment = set([])
for _ in range(100):
# Never pick cell 0, always pick cell 1
(cell, _) = tm.bestMatchingCell(tm.cellsForColumn(0),
activeSynapsesForSegment)
self.assertEqual(cell, 1)
