public void TestGetOrderedDistinctYValues()
{
//create a list which has unordered y values with some duplicates
var texCoodAndImgIndices = new List <TexCoodAndImgIndex>
{
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.0, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.1, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.2, .5)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.3, .2)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.4, .4)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.5, .3)
}
};
var result = ImgWidthOptimizer.GetOrderedDistinctYs(texCoodAndImgIndices, 0);
Assert.IsNotNull(result);
Assert.AreEqual(5, result.Length);
Assert.AreEqual(.1, result[0]);
Assert.AreEqual(.2, result[1]);
Assert.AreEqual(.3, result[2]);
Assert.AreEqual(.4, result[3]);
Assert.AreEqual(.5, result[4]);
}
public void TestGetPixelValueForTexCoodValue()
{
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.001, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.002, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.003, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.004, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.005, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.006, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.007, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.008, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.009, 100));
Assert.AreEqual(0, ImgWidthOptimizer.GetPixelForTexCood(0.01, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.011, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.012, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.013, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.014, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.015, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.016, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.017, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.018, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.019, 100));
Assert.AreEqual(1, ImgWidthOptimizer.GetPixelForTexCood(0.02, 100));
Assert.AreEqual(99, ImgWidthOptimizer.GetPixelForTexCood(1.0, 100));
}
public void TestGetFilteredXCoodsForTwoYValues()
{
var texCoodAndImgIndices = new List <TexCoodAndImgIndex>
{
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.0, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.1, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.15, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.23, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.34, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.35, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.23, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.343, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.2, .5)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.3, .2)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.4, .4)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.5, .3)
}
};
var result = ImgWidthOptimizer.GetFilteredXCoodsForTwoYs(texCoodAndImgIndices, .1, .2, 0);
Assert.IsNotNull(result);
Assert.AreEqual(9, result.Length);
Assert.AreEqual(.0, result[0]);
Assert.AreEqual(.1, result[1]);
Assert.AreEqual(.15, result[2]);
Assert.AreEqual(.23, result[3]);
Assert.AreEqual(.34, result[4]);
Assert.AreEqual(.35, result[5]);
Assert.AreEqual(.23, result[6]);
Assert.AreEqual(.343, result[7]);
Assert.AreEqual(.3, result[8]);
Assert.AreEqual(.0, result.Min());
Assert.AreEqual(.35, result.Max());
}
public void TestGetMinMaxXCoodsForTwoYValues()
{
var texCoodAndImgIndices = new List <TexCoodAndImgIndex>
{
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.0, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.1, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.15, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.23, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.34, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.35, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.23, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.343, .1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.2, .5)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.3, .2)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.4, .4)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.5, .3)
}
};
var result = ImgWidthOptimizer.GetMinMaxXCoodsForTwoYs(texCoodAndImgIndices, .1, .2, 0);
Assert.IsNotNull(result);
Assert.AreEqual(.0, result.Min);
Assert.AreEqual(.35, result.Max);
}
public void TestOptimizeTexImageWidthsAtYZero()
{
var unmergedCoods = new List <TexCoodAndImgIndex>
{
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.0, 0)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.1, 0)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.2, 1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.3, 1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.4, 1)
},
new TexCoodAndImgIndex {
ImgIndex = 0, TexCood = new Point(0.5, 1)
}
};
var imgSpecifics = new[] { new AddTexImageInfo {
ImageBitmap = new Bitmap(100, 100)
} };
var xLimitsAtYIndices = ImgWidthOptimizer.OptimizeTexImageWidths(unmergedCoods, imgSpecifics);
Assert.IsNotNull(xLimitsAtYIndices);
Assert.IsTrue(xLimitsAtYIndices.Length > 0);
//var limitsAtYZero = xLimitsAtYIndices[0,0];
//Assert.AreEqual( 0,limitsAtYZero.Min);
//Assert.AreEqual( 50,limitsAtYZero.Width);
}
