/// <summary>
/// Process one cycle by iterating over all values of the cycleArray.
/// </summary>
/// <param name="networkId"></param>
/// <param name="cycleIdx"></param>
/// <returns></returns>
private static async Task ProcessCycleAsync(string networkId, int cycleIdx)
{
int stepIdx = 1;
foreach (int sensorValue in ExampleConfiguration.CycleArry)
{
DisplayData result = new DisplayData {
CycleIdx = cycleIdx + 1, StepIdx = stepIdx, Value = sensorValue
};
// Encode the sensor value using a scalar encoder
await RestClient.Api.SetEncoderValueAsync(networkId, ExampleConfiguration.EncoderRegionName, sensorValue);
// Execute one iteration of the Network
await RestClient.Api.RunNetworkAsync(networkId);
// Get the active, winner and predicted cells from the Temporal Memory
result.ActiveSdr = await RestClient.Api.GetTmActiveCellsAsync(networkId, ExampleConfiguration.TmRegionName);
result.WinnderSdr = await RestClient.Api.GetTmWinnerCellsAsync(networkId, ExampleConfiguration.TmRegionName);
result.PredictiveSdr = await RestClient.Api.GetTmPredictiveCellsAsync(networkId, ExampleConfiguration.TmRegionName);
// Also get the anomaly score of the TM for this run
result.AnomalyScore = await RestClient.Api.GetTmAnomalyAsync(networkId, ExampleConfiguration.TmRegionName);
DisplayOutput.PrintResult(result);
stepIdx++;
}
}
private static void PrintHeader(DisplayData result)
{
Console.Clear();
PrintSeparatorLine();
Console.WriteLine($"| Cycle: {result.CycleIdx:D2} | Step: {result.StepIdx:D2} | Value: {result.Value:D2} | Anomaly: {result.AnomalyScore:0.0} |");
PrintSeparatorLine();
PrintColumnInfo();
PrintSeparatorLine();
}
/// <summary>
/// Prints the overall result to the console for a certain amount of time.
/// </summary>
/// <param name="result"></param>
internal static void PrintResult(DisplayData result)
{
PrintHeader(result);
for (int rowIdx = 0; rowIdx < ExampleConfiguration.CellsPerColumn; rowIdx++)
{
PrintCellRow(result, rowIdx);
}
Console.WriteLine();
Thread.Sleep(ExampleConfiguration.DisplaySleepMilliseconds);
}
private static void PrintCellRow(DisplayData result, int rowIdx)
{
Console.Write("| Cell |");
for (int colIdx = 0; colIdx < ExampleConfiguration.ColumnSize; colIdx++)
{
int cellId = colIdx * ExampleConfiguration.CellsPerColumn + rowIdx;
byte activeState = result.ActiveSdr.GetDense()[cellId];
byte winnerState = result.WinnderSdr.GetDense()[cellId];
byte predictiveState = result.PredictiveSdr.GetDense()[cellId];
PrintCell(cellId, activeState, winnerState, predictiveState);
}
Console.WriteLine();
}
