fixed map generation
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@ -47,7 +47,7 @@ class Crops
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public float getSpeedFactor(float tractorSpeed)
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{
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return 1f / getCostOnMovement();
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return (1f * tractorSpeed) / getCostOnMovement();
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}
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public SoilProperties getSoilProperties()
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@ -21,6 +21,7 @@ class Farm
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PresetCrops.init();
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r = new Random();
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crops = new Crops[100, 100];
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int dirtCount = 0;
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for (int i = 0; i < 99; i++)
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{
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for (int j = 0; j < 99; j++)
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@ -40,20 +41,22 @@ class Farm
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x = r.Next(0, 12);
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crops[i, j].setCropType(x, PresetCrops.getPresetCropTypes(x));
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crops[i, j].init();
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if (crops[i, j].getStatus() == 2)
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{
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dirtCount++;
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}
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}
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}
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/*
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int dirtCount = 0;
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for (int i = 0; i < 99; i++)
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{
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for (int j = 0; j < 99; j++)
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{
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if (crops[i, j].getStatus() == 2)
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{
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dirtCount++;
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if (!astar.isReachable(crops, new Vector2((int)i, (int)j), housepos))
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{
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crops[i, j].setStatus(1);
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//crops[i, j].setStatus(1);
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dirtCount--;
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}
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}
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@ -61,7 +64,6 @@ class Farm
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}
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if (dirtCount == 0)
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init(Size, housepos);
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*/
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}
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public void updateFarm(Vector2 Size)
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@ -11,12 +11,12 @@ using Microsoft.ML.Trainers.LightGbm;
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class MLModel
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{
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private static MLContext mlContext = new MLContext(seed: 1);
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private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
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private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
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private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
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private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
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// Loading data, creatin and saving ML model for smaller dataset (100)
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public static void CreateModel()
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