public float Evaluate(object[] arr, float samples, DaneshWindow dan)
{
for (int i = 0; i < c_params.Count; i++)
{
c_params[i].field.SetValue(c_params[i].owner, arr[i]);
}
float totalScore = 0f;
for (int att = 0; att < samples; att++)
{
object map = dan.GenerateContent();
float score = 0f;
//Obtain a metric reading for every targeted metric
for (int i = 0; i < c_metrics.Count; i++)
{
float val = (float)dan.GetMetric(c_metrics[i], new object[] { map });
score += 1 - Mathf.Abs(val - c_targets[i]);
}
//Get a score by averaging them
totalScore += score / c_metrics.Count;
}
return(totalScore / (float)samples);
}
List <List <float> > SampleExpressiveRangeRandomly(int totalAttempts, DaneshWindow gen)
{
float progressBar = 0f;
EditorUtility.DisplayProgressBar("Computing Randomised Expressive Range Histogram", "Working...", progressBar);
List <List <float> > res = new List <List <float> >();
/*
* Current:
* eraSample[metric1][metric2] = object[,] of samples representing the histogram
* Lot of data duplication here, not the most efficient way to do it
*/
eraSamples = new List <List <object[, ]> >();
for (int i = 0; i < danesh.metricList.Count; i++)
{
List <object[, ]> secondmetric = new List <object[, ]>();
for (int j = 0; j < danesh.metricList.Count; j++)
{
object[,] sampleH = new object[100, 100];
secondmetric.Add(sampleH);
}
eraSamples.Add(secondmetric);
}
for (int att = 0; att < totalAttempts; att++)
{
//Randomly parameterise the generator
foreach (GeneratorParameter p in gen.parameterList)
{
p.RandomiseValue();
}
object map = danesh.GenerateContent();
List <float> nums = new List <float>();
for (int i = 0; i < danesh.metricList.Count; i++)
{
float score = (float)danesh.GetMetric(i, new object[] { map });
nums.Add(score);
}
//Update the samples list
for (int i = 0; i < nums.Count; i++)
{
int index1 = (int)Mathf.Round(nums[i] * 100f);
if (index1 < 0)
{
index1 = 0;
}
if (index1 > 99)
{
index1 = 99;
}
for (int j = 0; j < nums.Count; j++)
{
int index2 = (int)Mathf.Round(nums[j] * 100f);
if (index2 < 0)
{
index2 = 0;
}
if (index2 > 99)
{
index2 = 99;
}
eraSamples[i][j][index1, index2] = map;
}
}
res.Add(nums);
EditorUtility.DisplayProgressBar("Computing Randomised Expressive Range Histogram", "Evaluating random expressive range... " + (100 * (float)att / (float)totalAttempts).ToString("F0") + " percent complete", (float)att / (float)totalAttempts);
}
EditorUtility.ClearProgressBar();
return(res);
}
