protected override void SolveInstance(IGH_DataAccess DA)
{
GH_PatternsFromSample gh_patterns = new GH_PatternsFromSample();
DA.GetData <GH_PatternsFromSample>(0, ref gh_patterns);
List <Point3d> wavePoints = new List <Point3d>();
DA.GetDataList <Point3d>(1, wavePoints);
double dataSize = 0;
DA.GetData <double>(2, ref dataSize);
bool backtrack = false;
DA.GetData <bool>(3, ref backtrack);
double iterations = 0;
DA.GetData <double>(4, ref iterations);
var patterns = gh_patterns.Value.Patterns;
var weights = gh_patterns.Value.TilesWeights;
var N = gh_patterns.Value.N;
// Get width and height based on 2d array of points
int width = Utils.GetNumberofPointsInOneDimension(wavePoints[0].X, wavePoints[wavePoints.Count - 1].X);
int height = Utils.GetNumberofPointsInOneDimension(wavePoints[0].Y, wavePoints[wavePoints.Count - 1].Y);
List <WaveCollapseHistoryElement> outputs = new List <WaveCollapseHistoryElement>();
var return_value = new GH_WaveCollapseResults();
for (int i = 0; i < (int)dataSize; i++)
{
// RUN WAVEFUNCION COLLAPSE
var wfc = new WaveFunctionCollapseRunner();
var history = wfc.Run(patterns, N, width, height, weights, backtrack, (int)iterations);
if (history.Elements.Count == 0)
{
continue;
}
var historyEndElement = history.Elements[history.Elements.Count - 1];
outputs.Add(historyEndElement);
return_value.Value.AddToList(historyEndElement);
}
if (true)
{
DA.SetData(0, return_value);
}
else
{
AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Check the inputs you idiot!");
}
}
protected override void SolveInstance(IGH_DataAccess DA)
{
GH_WaveCollapseResults waveCollapseDataset = new GH_WaveCollapseResults();
DA.GetData <GH_WaveCollapseResults>(0, ref waveCollapseDataset);
var wfcList = waveCollapseDataset.Value.Elements;
var image = Utils.generateRandomImage(wfcList[0].Superpositions.GetLength(0), wfcList[0].Superpositions.GetLength(1));
float sumSuccessRate = 0.0f;
float successProportion = 0.0f;
List <float> succesRates = new List <float>();
// Go through every wfc solution
for (int i = 0; i < wfcList.Count; i++)
{
// Get last element of this solution
var currentWFC = wfcList[i];
var currentSuccessRate = Utils.CountSuccessfullCellsInImageArea(image, currentWFC);
sumSuccessRate += currentSuccessRate;
succesRates.Add(currentSuccessRate);
}
successProportion = sumSuccessRate / wfcList.Count;
DA.SetData(0, successProportion);
DA.SetDataList(1, succesRates);
}
// This function run the WFC for iteration number of times, for different tile sizes.
// Component returns how many times for iteration number of sizes it was successful
protected override void SolveInstance(IGH_DataAccess DA)
{
GH_PatternsFromSample gh_patterns = new GH_PatternsFromSample();
DA.GetData <GH_PatternsFromSample>(0, ref gh_patterns);
double iterations = 0;
DA.GetData <double>(1, ref iterations);
bool backtrack = false;
DA.GetData <bool>(2, ref backtrack);
var patterns = gh_patterns.Value.Patterns;
var weights = gh_patterns.Value.TilesWeights;
var N = gh_patterns.Value.N;
List <WaveCollapseHistoryElement> outputs = new List <WaveCollapseHistoryElement>();
var return_value = new GH_WaveCollapseResults();
List <int> successfulRuns = new List <int>();
List <int> outputSizes = new List <int>();
var sb = getContradictionData(outputSizes, (int)iterations, patterns, N, weights, ref successfulRuns);
string filePath = @"R:\csv\asd2_14_26.csv";
System.IO.File.WriteAllText(filePath, sb.ToString());
DA.SetDataList(0, successfulRuns);
DA.SetDataList(1, outputSizes);
}
public static List <WaveCollapseHistoryElement> GetObservedWave(GH_WaveCollapseResults results)
{
if (results.Value.Elements.Count == 0)
{
return(null);
}
//int index = results.Value.Elements.Count - 1;
var waveElements = results.Value.Elements.ToList();
return(waveElements);
}
protected override void SolveInstance(IGH_DataAccess DA)
{
GH_WaveCollapseResults waveCollapseDataset = new GH_WaveCollapseResults();
DA.GetData <GH_WaveCollapseResults>(0, ref waveCollapseDataset);
GH_PatternsFromSample gh_patterns = new GH_PatternsFromSample();
DA.GetData <GH_PatternsFromSample>(1, ref gh_patterns);
string series = "";
DA.GetData <string>(2, ref series);
var waveElements = Utils.GetObservedWave(waveCollapseDataset);
var patterns = Utils.GetPatternsFromSample(gh_patterns);
// Assign generic values for every image
var sampleSuperpositions = waveElements[0].Superpositions;
// Get picture width and height
width = sampleSuperpositions.GetLength(0);
height = sampleSuperpositions.GetLength(1);
// Allocate memory for picture
biteSize = (int)((width * 4) * height);
_imageBuffer = new byte[biteSize];
// Add image from series
for (int i = 0; i < waveElements.Count; i++)
{
var superpositions = waveElements[i].Superpositions;
// Get values for pixels
var pixelsCodes = Utils.GetImageValuesFromWave(superpositions);
// Change to rgb
var pictureRGB = Utils.CellsValuesToRGBColours(pixelsCodes, white, blue, green);
// Plot picture from rgb
Utils.PlotPixelsFromRGB(pictureRGB, _imageBuffer);
// Save ti file
Utils.SaveToPicture(pictureRGB, i, series, _imageBuffer);
}
}