public void ToBitmap_ReturnsBitmapOfMatrix()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
var bitmap = matrix.ToBitmap(c => c.Value);
Assert.NotNull(bitmap);
}
public void RectBoxedAlgo_CorrectSize()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
var sum = matrix.RectBoxedAlgo(3, 3, (_, _, m) => m.Sum(c => c.Value));
Assert.AreEqual(2, sum.Rows);
Assert.AreEqual(2, sum.Columns);
}
public void ToMatrix_ConvertBitmapToMatrix()
{
var initMatrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
var bitmap = initMatrix.ToBitmap((_, _, v) => Color.FromArgb(v.Value, v.Value, v.Value));
var matrix = bitmap.ToMatrix((_, _, color) => new MatrixPopulator.Dummy(color.G));
Assert.AreEqual(initMatrix, matrix);
}
public void ToMatrix_UnevenMatrix_ConvertBitmapToMatrix()
{
var initMatrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
var expected = initMatrix.AddPadding(2, 0, 2, 0, new MatrixPopulator.Dummy(10));
var bitmap = expected.ToBitmap((_, _, v) => Color.FromArgb(v.Value, v.Value, v.Value));
var matrix = bitmap.ToMatrix((_, _, color) => new MatrixPopulator.Dummy(color.G));
Assert.AreEqual(expected, matrix);
}
public void RectBoxedAlgo_ReturnSum()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
var expected = new Matrix <double>(new double[, ]
{
{ 54, 63 },
{ 90, 99 }
});
var sum = matrix.RectBoxedAlgo(3, 3, (_, _, m) => m.Sum(c => c.Value));
Assert.AreEqual(expected, sum);
}
public void Sum_CalculatesTotalSumOnMatrix()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
Assert.AreEqual((16 * 16 + 16) / 2, matrix.Sum(c => c.Value));
}
public void Min_ReturnsMinValueOfMatrix()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
Assert.AreEqual(1, matrix.Min(c => c.Value));
}
public void Average_CalculatesAverageOnMatrix()
{
var matrix = MatrixPopulator.CreateIncrementedDummy(4, 4);
Assert.AreEqual(8.5, matrix.Average(c => c.Value));
}