def testCellsForColumnInvalidColumn(self):
connections = Connections([64, 64], 4)
try:
connections.cellsForColumn(4095)
except IndexError:
self.fail("IndexError raised unexpectedly")
args = [4096]
self.assertRaises(IndexError, connections.cellsForColumn, *args)
args = [-1]
self.assertRaises(IndexError, connections.cellsForColumn, *args)
def testColumnForCellInvalidCell(self):
connections = Connections([64, 64], 4)
try:
connections.columnForCell(16383)
except IndexError:
self.fail("IndexError raised unexpectedly")
args = [16384]
self.assertRaises(IndexError, connections.columnForCell, *args)
args = [-1]
self.assertRaises(IndexError, connections.columnForCell, *args)
def testInit(self):
columnDimensions = [2048]
cellsPerColumn = 32
connections = Connections(columnDimensions, cellsPerColumn)
self.assertEqual(connections.columnDimensions, columnDimensions)
self.assertEqual(connections.cellsPerColumn, cellsPerColumn)
def __init__(self,
columnDimensions=(2048, ),
cellsPerColumn=32,
activationThreshold=13,
learningRadius=2048,
initialPermanence=0.21,
connectedPermanence=0.50,
minThreshold=10,
maxNewSynapseCount=20,
permanenceIncrement=0.10,
permanenceDecrement=0.10,
seed=42):
"""
Translate parameters and initialize member variables
specific to TemporalMemory
"""
numberOfCols = 1
for n in columnDimensions:
numberOfCols *= n
super(TemporalMemoryShim,
self).__init__(numberOfCols=numberOfCols,
cellsPerColumn=cellsPerColumn,
initialPerm=initialPermanence,
connectedPerm=connectedPermanence,
minThreshold=minThreshold,
newSynapseCount=maxNewSynapseCount,
permanenceInc=permanenceIncrement,
permanenceDec=permanenceDecrement,
permanenceMax=1.0,
globalDecay=0,
activationThreshold=activationThreshold,
seed=seed)
self.connections = Connections(columnDimensions, cellsPerColumn)
self.predictiveCells = set()
def testNumberOfCells(self): connections = Connections([64, 64], 32) self.assertEqual(connections.numberOfCells(), 64 * 64 * 32)
def testCellsForColumn2D(self): connections = Connections([64, 64], 4) expectedCells = set([256, 257, 258, 259]) self.assertEqual(connections.cellsForColumn(64), expectedCells)
def testCellsForColumn1D(self): connections = Connections([2048], 5) expectedCells = set([5, 6, 7, 8, 9]) self.assertEqual(connections.cellsForColumn(1), expectedCells)
def testColumnForCell2D(self): connections = Connections([64, 64], 4) self.assertEqual(connections.columnForCell(0), 0) self.assertEqual(connections.columnForCell(3), 0) self.assertEqual(connections.columnForCell(4), 1) self.assertEqual(connections.columnForCell(16383), 4095)
def testColumnForCell1D(self): connections = Connections([2048], 5) self.assertEqual(connections.columnForCell(0), 0) self.assertEqual(connections.columnForCell(4), 0) self.assertEqual(connections.columnForCell(5), 1) self.assertEqual(connections.columnForCell(10239), 2047)
def setUp(self): self.connections = Connections([2048], 32)
def testMapCellsToColumns(self): connections = Connections([100], 4) columnsForCells = connections.mapCellsToColumns(set([0, 1, 2, 5, 399])) self.assertEqual(columnsForCells[0], set([0, 1, 2])) self.assertEqual(columnsForCells[1], set([5])) self.assertEqual(columnsForCells[99], set([399]))
def setUp(self):
self.connections = Connections(2048 * 32)
def testMapCellsToColumns(self):
connections = Connections([100], 4)
columnsForCells = connections.mapCellsToColumns(set([0, 1, 2, 5, 399]))
self.assertEqual(columnsForCells[0], set([0, 1, 2]))
self.assertEqual(columnsForCells[1], set([5]))
self.assertEqual(columnsForCells[99], set([399]))