/*
* public Dictionary<Dictionary<string, float>, List<float>> scoretable;
* public Dictionary<string, float> currentset;
* public List<float> currentgen;
*/
private void Start()
{
/*
* scoretable = highsc.HighScoreTable;
* currentset = CurrentSettings();
* scoretable.Add(currentset, new List<float>());
* currentgen = scoretable[currentset];
*/
man = FindObjectOfType <Manager2_2>();
inputman = FindObjectOfType <InputManager_2>();
highscore = highsc.HighScoreTable;
highscore.Clear();
population_count = PlayerPrefs.GetInt("Population", 100);
chernobyl_rate = PlayerPrefs.GetFloat("MutationRate", 0.1f);
best_n = PlayerPrefs.GetInt("BestN", 5);
selectionmode = PlayerPrefs.GetString("SelectionMode", "Time");
BotBrain_2.particleson = particles;
population = new GameObject[population_count];
best_networks = new NeuralNetwork[best_n];
score = new float[best_n];
NewGeneration();
}
private void Start()
{
hidden = PlayerPrefs.GetInt("Hidden", 10);
output = PlayerPrefs.GetString("Output", "Keystroke");
afk = PlayerPrefs.GetFloat("AFKval", 5f);
if (PlayerPrefs.GetInt("AFK", 0) == 1)
{
afkenable = true;
}
else
{
afkenable = false;
}
singafk = PlayerPrefs.GetFloat("1dAFKval", 15f);
if (PlayerPrefs.GetInt("1dAFK", 0) == 1)
{
singafkenable = true;
}
else
{
singafkenable = false;
}
if (PlayerPrefs.GetInt("Invert", 1) == 1)
{
invert = true;
}
else
{
invert = false;
}
best_n = PlayerPrefs.GetInt("BestN", 5);
chernobyl_rate = PlayerPrefs.GetFloat("MutationRate", 0.1f);
chernobyl_magnitude = PlayerPrefs.GetFloat("MutationScale", 0.5f);
inman = FindObjectOfType <InputManager_2>();
// Holocaust stuff
Holocaust_2 camp = FindObjectOfType <Holocaust_2>();
prisoner_number = number;
number++;
networkvisual = GameObject.Find("Network");
if (networkvisual != null & prisoner_number == best_n - 1)
{
inputactivation = GameObject.Find("InputText").GetComponent <Text>();
hiddenactivation = GameObject.Find("HiddenText").GetComponent <Text>();
outputactivation = GameObject.Find("OutputText").GetComponent <Text>();
inputhiddenweight = GameObject.Find("InputHiddenWeight").GetComponent <Text>();
inputhiddenbias = GameObject.Find("InputHiddenBias").GetComponent <Text>();
hiddenoutputweight = GameObject.Find("HiddenOutputWeight").GetComponent <Text>();
hiddenoutputbias = GameObject.Find("HiddenOutputBias").GetComponent <Text>();
}
if (camp.generation > 1)
{
if (prisoner_number < best_n)
{
spren.color = new Color(0, 1, 0.2f);
brain = camp.best_networks[prisoner_number];
}
else
{
//Selection
int index = 0;
float[] scorearray = camp.score;
float randnum = Random.Range(0f, totalscore);
for (int i = 0; i < best_n; i++)
{
randnum -= scorearray[i];
if (randnum <= 0)
{
break;
}
index++;
}
//Mutation
brain = camp.best_networks[index].Copy();
//brain.Mutate(chernobyl_rate, chernobyl_magnitude, parameters.clamping);
//Debug.Log(brain.ih_weight.tensor == test.ih_weight.tensor);
}
}
else
{
brain = new NeuralNetwork(inman.GetIn(), hidden, inman.GetOut(), output);
}
if (networkvisual != null)
{
if (networkvisual.activeSelf & prisoner_number == best_n - 1)
{
inputhiddenweight.text = PrintNeuron(brain.ih_weight);
inputhiddenbias.text = PrintNeuron(brain.ih_bias);
hiddenoutputweight.text = PrintNeuron(brain.ho_weight);
hiddenoutputbias.text = PrintNeuron(brain.ho_bias);
}
}
Manager2_2 manager = FindObjectOfType <Manager2_2>();
max_v = manager.max_v;
acceleration = manager.acceleration;
dampspeed = manager.dampspeed;
maxhealth = PlayerPrefs.GetInt("Health", 10);
currhealth = maxhealth;
speedup = camp.speedup;
damageglow = camp.damageglow;
//Particles
if (particleson)
{
part = Instantiate(particlesystem, Vector3.zero, Quaternion.identity, gameObject.transform).GetComponent <ParticleSystem>();
}
}
