// Update is called once per frame
void Update()
{
if (timePerStop > 0)
{
if (!stopped && Time.time > timeOfLastStopOrGo + timeBetweenStop)
{
stopped = true;
timeOfLastStopOrGo = Time.time;
nav.SetDestination(transform.position);
}
else if (stopped && Time.time > timeOfLastStopOrGo + timePerStop)
{
stopped = false;
timeOfLastStopOrGo = Time.time;
nav.SetDestination(destination);
}
}
if (Time.time >= nextConfoundingTime)
{
foreach (KeyValuePair <NeuralNode, List <int> > kvp in towersToConfound)
{
NeuralNode node = kvp.Key;
int[] nonzeroIndices = node.GetNonzeroIndices();
if (nonzeroIndices != null && nonzeroIndices.Length > 0)
{
float numCallsToConfound = intendedConfoundingTime / Time.deltaTime;
int numConfoundings = (int)(nonzeroIndices.Length / numCallsToConfound);
for (int i = 0; i < numConfoundings; i++)
{
List <int> preconfoundedIndices = node.GetConfoundedIndices();
int index = nonzeroIndices [Random.Range(0, nonzeroIndices.Length)];
if (!kvp.Value.Contains(index) && !preconfoundedIndices.Contains(index))
{
if (index == -1)
{
node.b = ConfoundB(node.b);
}
else
{
ConfoundWeights(node.weights, index);
}
kvp.Value.Add(index);
node.AddToConfoundedIndices(index);
}
}
}
}
nextConfoundingTime = Time.time + confoundInterval;
}
Vector3 rangeSize = rangeIndicator.localScale;
float rangeScale = rangeSize.x;
if (rangeSize.x > 7 * 2 * range)
{
rangeScale = 0f;
}
Vector3 newRangeScale = new Vector3(rangeScale + Time.deltaTime * rangeSpeed, 0, rangeScale + Time.deltaTime * rangeSpeed);
rangeIndicator.localScale = newRangeScale;
}
