public void DeleteDanesh(int daneshid)
{
Danesh danesh = db.Daneshes.Find(daneshid);
db.Daneshes.Remove(danesh);
db.SaveChanges();
}
List <List <float> > SampleExpressiveRangeRandomly(int totalAttempts, Danesh gen)
{
float progressBar = 0f;
EditorUtility.DisplayProgressBar("Computing Randomised Expressive Range Histogram", "Working...", progressBar);
List <List <float> > res = new List <List <float> >();
List <GeneratorMetric> metrics = danesh.GetMetricsForActiveGenerator();
/*
* 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 <GeneratorSample[, ]> >();
for (int i = 0; i < metrics.Count; i++)
{
List <GeneratorSample[, ]> secondmetric = new List <GeneratorSample[, ]>();
for (int j = 0; j < metrics.Count; j++)
{
GeneratorSample[,] sampleH = new GeneratorSample[100, 100];
secondmetric.Add(sampleH);
}
eraSamples.Add(secondmetric);
}
List <GeneratorParameter> genParams = gen.GetParametersForActiveGenerator();
for (int att = 0; att < totalAttempts; att++)
{
//Hold this so we can find this version later
object[] ps = new object[genParams.Count];
//Randomly parameterise the generator
for (int i = 0; i < genParams.Count; i++)
{
GeneratorParameter p = genParams[i];
p.RandomiseValue();
ps[i] = p.GetValue();
}
object map = danesh.GenerateContent();
List <float> nums = new List <float>();
for (int i = 0; i < metrics.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.Floor(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.Floor(nums[j] * 100f);
if (index2 < 0)
{
index2 = 0;
}
if (index2 > 99)
{
index2 = 99;
}
eraSamples[i][j][index1, index2] = new GeneratorSample(map, ps);
}
}
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);
}
public void StartERA(Danesh gen, int num, int genId)
{
danesh = gen;
numberOfAttempts = num;
ERAData[genId] = SampleExpressiveRange(num, gen);
}
public void StartRERA(Danesh gen, int num, int genId)
{
danesh = gen;
numberOfAttemptsRandom = num;
RERAData[genId] = SampleExpressiveRangeRandomly(num, gen);
}
List <List <float> > SampleExpressiveRange(int totalAttempts, Danesh gen)
{
float progressBar = 0f;
EditorUtility.DisplayProgressBar("Computing Expressive Range", "Working...", progressBar);
List <List <float> > res = new List <List <float> >();
List <GeneratorMetric> metrics = danesh.GetMetricsForActiveGenerator();
List <GeneratorParameter> genParams = gen.GetParametersForActiveGenerator();
//Hold this so we can find this version later
object[] ps = new object[genParams.Count];
for (int i = 0; i < genParams.Count; i++)
{
ps[i] = genParams[i].currentValue;
}
eraSamples = new List <List <GeneratorSample[, ]> >();
for (int i = 0; i < metrics.Count; i++)
{
List <GeneratorSample[, ]> secondmetric = new List <GeneratorSample[, ]>();
for (int j = 0; j < metrics.Count; j++)
{
GeneratorSample[,] sampleH = new GeneratorSample[100, 100];
secondmetric.Add(sampleH);
}
eraSamples.Add(secondmetric);
}
for (int att = 0; att < totalAttempts; att++)
{
object map = danesh.GenerateContent();
List <float> nums = new List <float>();
for (int i = 0; i < metrics.Count; i++)
{
float score = 0f;
try{
score = (float)metrics[i].method.Invoke(null, new object[] { map });
}
catch {
}
nums.Add(score);
}
res.Add(nums);
//Update the samples list
for (int i = 0; i < nums.Count; i++)
{
int index1 = (int)Mathf.Floor(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.Floor(nums[j] * 100f);
if (index2 < 0)
{
index2 = 0;
}
if (index2 > 99)
{
index2 = 99;
}
eraSamples[i][j][index1, index2] = new GeneratorSample(map, ps);
}
}
EditorUtility.DisplayProgressBar("Computing Expressive Range", "Evaluating expressive range... " + (100 * (float)att / (float)totalAttempts).ToString("F0") + " percent complete", (float)att / (float)totalAttempts);
}
EditorUtility.ClearProgressBar();
return(res);
}
public void EditDanesh(Danesh danesh)
{
db.Daneshes.Update(danesh);
db.SaveChanges();
}
public void CreateDanesh(Danesh danesh)
{
db.Daneshes.Add(danesh);
db.SaveChanges();
}