public virtual ComputeCycle Compute(Connections cnx, int[] activeColumns, string sequenceLabel, bool learn)
{
// Append last cycle's predictiveCells to *predicTEDCells* trace
((IndicesTrace)getTraceMap().Get("predictedCells")).items.Add(
new HashSet <int>(Connections.AsCellIndexes(cnx.GetPredictiveCells())));
ComputeCycle cycle = getMonitor().Compute(cnx, activeColumns, learn);
// Append this cycle's predictiveCells to *predicTIVECells* trace
((IndicesTrace)getTraceMap().Get("predictiveCells")).items.Add(
new HashSet <int>(Connections.AsCellIndexes(cnx.GetPredictiveCells())));
((IndicesTrace)getTraceMap().Get("activeCells")).items.Add(
new HashSet <int>(Connections.AsCellIndexes(cnx.GetActiveCells())));
((IndicesTrace)getTraceMap().Get("activeColumns")).items.Add(new HashSet <int>(activeColumns));
//Arrays.stream(activeColumns).boxed().collect(Collectors.toCollection(HashSet::new)));
((CountsTrace)getTraceMap().Get("numSegments")).items.Add(cnx.GetNumSegments());
((CountsTrace)getTraceMap().Get("numSynapses")).items.Add((int)(cnx.GetNumSynapses() ^ (cnx.GetNumSynapses() >> 32)));
((StringsTrace)getTraceMap().Get("sequenceLabels")).items.Add(sequenceLabel);
((BoolsTrace)getTraceMap().Get("resets")).items.Add(resetActive());
setResetActive(false);
setTransitionTracesStale(true);
return(cycle);
}
public void TestAsCellIndexes()
{
TemporalMemory tm = new TemporalMemory();
Connections cn = new Connections();
cn.SetColumnDimensions(new[] { 64, 64 });
cn.SetCellsPerColumn(4);
TemporalMemory.Init(cn);
int[] expectedIndexes = { 0, 3, 4, 16383 };
HashSet <Cell> cells = cn.GetCellSet(expectedIndexes);
List <int> cellIdxList = Connections.AsCellIndexes(cells);
// Unordered test of equality
HashSet <int> cellIdxSet = new HashSet <int>(cellIdxList);
HashSet <int> expectedIdxSet = new HashSet <int>(expectedIndexes);
Assert.IsTrue(Arrays.AreEqual(cellIdxSet, expectedIdxSet));
}
