public void TestHashDictionary()
{
double minOctOverlapCycles = 1.0;
int inputBits = 100;
int numColumns = 2048;
double maxBoost = 5.0;
Parameters p = Parameters.getAllDefaultParameters();
p.Set(KEY.RANDOM, new ThreadSafeRandom(42));
p.Set(KEY.INPUT_DIMENSIONS, new int[] { inputBits });
p.Set(KEY.CELLS_PER_COLUMN, 10);
p.Set(KEY.COLUMN_DIMENSIONS, new int[] { numColumns });
p.Set(KEY.MAX_BOOST, maxBoost);
p.Set(KEY.DUTY_CYCLE_PERIOD, 100);
p.Set(KEY.MIN_PCT_OVERLAP_DUTY_CYCLES, minOctOverlapCycles);
var mem = new Connections();
List <int[]> inputs = new List <int[]>();
List <int[]> outputs = new List <int[]>();
// Create random vectors with 2% sparsity
for (int i = 0; i < 10; i++)
{
var inp = NeoCortexUtils.CreateRandomVector(inputBits, 20);
var outp = NeoCortexUtils.CreateRandomVector(numColumns, 40);
inputs.Add(inp);
outputs.Add(outp);
}
bool isBoostOff = true;
int learningCycles = 100;
HomeostaticPlasticityController hpa = new HomeostaticPlasticityController(mem, inputs.Count * learningCycles,
(isStable, numPatterns, actColAvg, seenInputs) => { });
for (int cycle = 0; cycle < 1000; cycle++)
{
for (int i = 0; i < inputs.Count; i++)
{
isBoostOff = hpa.Compute(inputs[i], outputs[i]);
if (isBoostOff)
{
Assert.IsTrue(cycle >= learningCycles);
}
}
}
Assert.IsTrue(isBoostOff);
}