class Column:
"""
A class only to group properties related to columns.
"""
def __init__(self):
"""
Initializes a new instance of this class.
"""
# Position on X axis
self.x = -1
# Position on Y axis
self.y = -1
# Proximal segment of this column
self.segment = Segment(SegmentType.PROXIMAL)
# List of cells that compose this column.
self.cells = []
# 3D object reference
self.tree3d_pos = (0, 0, 0)
def getCell(self, z):
"""
Return the cell located at given position
"""
for cell in self.cells:
if cell.z == z:
return cell
def nextStep(self):
"""
Perfoms actions related to time step progression.
"""
self.segment.nextStep()
for cell in self.cells:
cell.nextStep()
def calculateStatistics(self):
"""
Calculate statistics after an iteration.
"""
self.segment.calculateStatistics()
for cell in self.cells:
cell.calculateStatistics()
def __init__(self):
"""
Initializes a new instance of this class.
"""
# Position on X axis
self.x = -1
# Position on Y axis
self.y = -1
# Proximal segment of this column
self.segment = Segment(SegmentType.PROXIMAL)
# List of cells that compose this column.
self.cells = []
# 3D object reference
self.tree3d_pos = (0, 0, 0)
def __init__(self):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.x = -1
"""Position on X axis"""
self.y = -1
"""Position on Y axis"""
self.segment = Segment(SegmentType.proximal)
"""Proximal segment of this column"""
self.cells = []
"""List of cells that compose this column."""
#region 3d-tree properties (simulation form)
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
def __init__(self):
"""
Initializes a new instance of this class.
"""
# region Instance fields
self.x = -1
"""Position on X axis"""
self.y = -1
"""Position on Y axis"""
self.segment = Segment(SegmentType.proximal)
"""Proximal segment of this column"""
self.cells = []
"""List of cells that compose this column."""
# region 3d-tree properties (simulation form)
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
def updateTemporalElements(self):
"""
Update elements regarding temporal pooler
"""
# Update cells, distal segments and synapses according to active columns
for colIdx in range(len(self.columns)):
column = self.columns[colIdx]
# Mark proximal segment and its connected synapses as predicted
if column.segment.isPredicted.atCurrStep():
for synapse in column.segment.synapses:
if synapse.isConnected.atCurrStep():
synapse.isPredicted.setForCurrStep(True)
synapse.inputElem.isPredicted.setForCurrStep(True)
# Mark proximal segment and its connected synapses that were predicted but are not active now
if column.segment.isPredicted.atPreviousStep():
if not column.segment.isActive.atCurrStep():
column.segment.isFalselyPredicted.setForCurrStep(True)
for synapse in column.segment.synapses:
if (synapse.isPredicted.atPreviousStep() and not synapse.isConnected.atCurrStep()) or (synapse.isConnected.atCurrStep() and synapse.inputElem.isFalselyPredicted.atCurrStep()):
synapse.isFalselyPredicted.setForCurrStep(True)
for cell in column.cells:
cellIdx = cell.index
# Update cell's states
if cellIdx in self.temporalPooler.winnerCells:
cell.isLearning.setForCurrStep(True)
if cellIdx in self.temporalPooler.activeCells:
cell.isActive.setForCurrStep(True)
if cellIdx in self.temporalPooler.predictiveCells:
cell.isPredicted.setForCurrStep(True)
if cell.isPredicted.atPreviousStep() and not cell.isActive.atCurrStep():
cell.isFalselyPredicted.setForCurrStep(True)
# Get the indexes of the distal segments of this cell
segmentsForCell = self.temporalPooler.connections.segmentsForCell(cellIdx)
# Add the segments that appeared after last iteration
for segIdx in segmentsForCell:
# Check if segment already exists in the cell
segFound = False
for segment in cell.segments:
if segment.indexTP == segIdx:
segFound = True
break
# If segment is new, add it to cell
if not segFound:
segment = Segment(SegmentType.distal)
segment.indexTP = segIdx
cell.segments.append(segment)
# Update distal segments
for segment in cell.segments:
segIdx = segment.indexTP
# If segment not found in segments indexes returned in last iteration mark it as removed
if segIdx in segmentsForCell:
# Update segment's state
if segIdx in self.temporalPooler.activeSegments:
segment.isActive.setForCurrStep(True)
else:
segment.isActive.setForCurrStep(False)
# Get the indexes of the synapses of this segment
synapsesForSegment = self.temporalPooler.connections.synapsesForSegment(segIdx)
# Add the synapses that appeared after last iteration
for synIdx in synapsesForSegment:
# Check if synapse already exists in the segment
synFound = False
for synapse in segment.synapses:
if synapse.indexTP == synIdx:
synFound = True
break
# If synapse is new, add it to segment
if not synFound:
synapse = Synapse()
synapse.indexTP = synIdx
segment.synapses.append(synapse)
# Update synapses
for synapse in segment.synapses:
synIdx = synapse.indexTP
# If synapse not found in synapses indexes returned in last iteration mark it as removed
if synIdx in synapsesForSegment:
# Update synapse's state
(_, sourceCellAbsIdx, permanence) = self.temporalPooler.connections.dataForSynapse(synIdx)
synapse.permanence.setForCurrStep(permanence)
if permanence >= self.distalSynConnectedPerm:
synapse.isConnected.setForCurrStep(True)
else:
synapse.isConnected.setForCurrStep(False)
# Get cell given cell's index
sourceColIdx = sourceCellAbsIdx / self.numCellsPerColumn
sourceCellRelIdx = sourceCellAbsIdx % self.numCellsPerColumn
sourceCell = self.columns[sourceColIdx].cells[sourceCellRelIdx]
synapse.inputElem = sourceCell
else:
synapse.isRemoved.setForCurrStep(True)
else:
segment.isRemoved.setForCurrStep(True)
class Column:
"""
A class only to group properties related to columns.
"""
# region Constructor
def __init__(self):
"""
Initializes a new instance of this class.
"""
# region Instance fields
self.x = -1
"""Position on X axis"""
self.y = -1
"""Position on Y axis"""
self.segment = Segment(SegmentType.proximal)
"""Proximal segment of this column"""
self.cells = []
"""List of cells that compose this column."""
# region 3d-tree properties (simulation form)
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
# endregion
# endregion
# endregion
# region Methods
def getCell(self, z):
"""
Return the cell located at given position
"""
for cell in self.cells:
if cell.z == z:
return cell
def nextStep(self):
"""
Perfoms actions related to time step progression.
"""
self.segment.nextStep()
for cell in self.cells:
cell.nextStep()
def calculateStatistics(self):
"""
Calculate statistics after an iteration.
"""
self.segment.calculateStatistics()
for cell in self.cells:
cell.calculateStatistics()
def updateTemporalElements(self):
"""
Update elements regarding temporal pooler
"""
# Update cells, distal segments and synapses according to active columns
for colIdx in range(len(self.columns)):
column = self.columns[colIdx]
# Mark proximal segment and its connected synapses as predicted
if column.segment.isPredicted.atCurrStep():
for synapse in column.segment.synapses:
if synapse.isConnected.atCurrStep():
synapse.isPredicted.setForCurrStep(True)
synapse.inputElem.isPredicted.setForCurrStep(True)
# Mark proximal segment and its connected synapses that were predicted but are not active now
if column.segment.isPredicted.atPreviousStep():
if not column.segment.isActive.atCurrStep():
column.segment.isFalselyPredicted.setForCurrStep(True)
for synapse in column.segment.synapses:
if (synapse.isPredicted.atPreviousStep() and not synapse.isConnected.atCurrStep()) or (synapse.isConnected.atCurrStep() and synapse.inputElem.isFalselyPredicted.atCurrStep()):
synapse.isFalselyPredicted.setForCurrStep(True)
for cell in column.cells:
cellIdx = cell.index
# Update cell's states
if cellIdx in self.temporalPooler.winnerCells:
cell.isLearning.setForCurrStep(True)
if cellIdx in self.temporalPooler.activeCells:
cell.isActive.setForCurrStep(True)
if cellIdx in self.temporalPooler.predictiveCells:
cell.isPredicted.setForCurrStep(True)
if cell.isPredicted.atPreviousStep() and not cell.isActive.atCurrStep():
cell.isFalselyPredicted.setForCurrStep(True)
# Get the indexes of the distal segments of this cell
segmentsForCell = self.temporalPooler.connections.segmentsForCell(cellIdx)
# Add the segments that appeared after last iteration
for segIdx in segmentsForCell:
# Check if segment already exists in the cell
segFound = False
for segment in cell.segments:
if segment.indexTP == segIdx:
segFound = True
break
# If segment is new, add it to cell
if not segFound:
segment = Segment(SegmentType.distal)
segment.indexTP = segIdx
cell.segments.append(segment)
# Update distal segments
for segment in cell.segments:
segIdx = segment.indexTP
# If segment not found in segments indexes returned in last iteration mark it as removed
if segIdx in segmentsForCell:
# Update segment's state
if segIdx in self.temporalPooler.activeSegments:
segment.isActive.setForCurrStep(True)
else:
segment.isActive.setForCurrStep(False)
# Get the indexes of the synapses of this segment
synapsesForSegment = self.temporalPooler.connections.synapsesForSegment(segIdx)
# Add the synapses that appeared after last iteration
for synIdx in synapsesForSegment:
# Check if synapse already exists in the segment
synFound = False
for synapse in segment.synapses:
if synapse.indexTP == synIdx:
synFound = True
break
# If synapse is new, add it to segment
if not synFound:
synapse = Synapse()
synapse.indexTP = synIdx
segment.synapses.append(synapse)
# Update synapses
for synapse in segment.synapses:
synIdx = synapse.indexTP
# If synapse not found in synapses indexes returned in last iteration mark it as removed
if synIdx in synapsesForSegment:
# Update synapse's state
synapseData = self.temporalPooler.connections.dataForSynapse(synIdx)
synapse.permanence.setForCurrStep(synapseData.permanence)
if synapseData.permanence >= self.distalSynConnectedPerm:
synapse.isConnected.setForCurrStep(True)
else:
synapse.isConnected.setForCurrStep(False)
# Get cell given cell's index
sourceColIdx = synapseData.presynapticCell / self.numCellsPerColumn
sourceCellRelIdx = synapseData.presynapticCell % self.numCellsPerColumn
sourceCell = self.columns[sourceColIdx].cells[sourceCellRelIdx]
synapse.inputElem = sourceCell
else:
synapse.isRemoved.setForCurrStep(True)
else:
segment.isRemoved.setForCurrStep(True)
class Column:
"""
A class only to group properties related to columns.
"""
#region Constructor
def __init__(self):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.x = -1
"""Position on X axis"""
self.y = -1
"""Position on Y axis"""
self.segment = Segment(SegmentType.proximal)
"""Proximal segment of this column"""
self.cells = []
"""List of cells that compose this column."""
#region 3d-tree properties (simulation form)
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
#endregion
#endregion
#endregion
#region Methods
def getCell(self, z):
"""
Return the cell located at given position
"""
for cell in self.cells:
if cell.z == z:
return cell
def nextStep(self):
"""
Perfoms actions related to time step progression.
"""
self.segment.nextStep()
for cell in self.cells:
cell.nextStep()
def calculateStatistics(self):
"""
Calculate statistics after an iteration.
"""
self.segment.calculateStatistics()
for cell in self.cells:
cell.calculateStatistics()
