Esempio n. 1
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        public void InterpolateTest()
        {
            var points = new List <Point>()
            {
                new Point(0, 0), new Point(10, 10), new Point(30, -10), new Point(50, 10)
            };

            var lineSeries = new LineSeries(points);

            var result = lineSeries.Interpolate(new Double[] { 0, 5, 10, 15, 20, 25, 35, 40, 45 });

            var expectedResult = new List <Point>()
            {
                new Point(0, 0),
                new Point(5, 5),
                new Point(10, 10),
                new Point(15, 5),
                new Point(20, 0),
                new Point(25, -5),
                new Point(35, -5),
                new Point(40, 0),
                new Point(45, 5)
            };

            CollectionAssert.AreEqual(expectedResult, result);
        }
Esempio n. 2
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        public void InterpolatePerformance2(LineSeries.SearchType search_type)
        {
            var valueGroups = Enumerable.Range(0, 1000001).Select(x => x * 1.0).ToLookup(x => ((int)x) % 2);

            var interPoints = valueGroups[1].ToList();
            var valuePoints = valueGroups[0].Select(x => new Point(x, x)).ToList();

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();
        }
Esempio n. 3
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        public void InterpolatePerformance2(LineSeries.SearchType search_type)
        {
            var valueGroups = Enumerable.Range(0, 1000001).Select(x => x * 1.0).ToLookup(x => ((int)x) % 2);

            var interPoints = valueGroups[1].ToList();
            var valuePoints = valueGroups[0].Select(x => new Point(x, x)).ToList();

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();
        }
Esempio n. 4
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        public void InterpolatePerformance1(LineSeries.SearchType search_type)
        {
            var size = 1000000;

            var valuePoints = new List<Point>() {
                new Point(0, 0),
                new Point(size, size),
            };
            var interPoints = Enumerable.Range(0, size).Select(x => x * 1.0).ToList();

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();

            var expected = Enumerable.Range(0, size).Select(x => new Point(x, x)).ToList();

            CollectionAssert.AreEqual(expected, result);
        }
Esempio n. 5
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        public void InterpolatePerformance1(LineSeries.SearchType search_type)
        {
            var size = 1000000;

            var valuePoints = new List <Point>()
            {
                new Point(0, 0),
                new Point(size, size),
            };
            var interPoints = Enumerable.Range(0, size).Select(x => x * 1.0).ToList();

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();

            var expected = Enumerable.Range(0, size).Select(x => new Point(x, x)).ToList();

            CollectionAssert.AreEqual(expected, result);
        }
Esempio n. 6
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        public void InterpolatePerformance3(LineSeries.SearchType search_type)
        {
            var randNumbers = new Random(0);

            var interPoints = new List <double>();
            var valuePoints = new List <Point>();

            for (int i = 0; i < 100000; i++)
            {
                interPoints.Add(interPoints.LastOrDefault() + 100 * randNumbers.NextDouble());
            }

            for (int i = 0; i < 10000000; i++)
            {
                valuePoints.Add(new Point(valuePoints.LastOrDefault().X + randNumbers.NextDouble(), randNumbers.NextDouble()));
            }

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();
        }
Esempio n. 7
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        public void InterpolatePerformance3(LineSeries.SearchType search_type)
        {
            var randNumbers = new Random(0);

            var interPoints = new List<double>();
            var valuePoints = new List<Point>();

            for (int i = 0; i < 100000; i++)
            {
                interPoints.Add(interPoints.LastOrDefault() + 100 * randNumbers.NextDouble());
            }

            for (int i = 0; i < 10000000; i++)
            {
                valuePoints.Add(new Point(valuePoints.LastOrDefault().X + randNumbers.NextDouble(), randNumbers.NextDouble()));
            }

            var series = new LineSeries(valuePoints);
            var result = series.Interpolate(interPoints, search_type).ToList();
        }
Esempio n. 8
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        public void InterpolateTest()
        {
            var points = new List<Point>() { new Point(0, 0), new Point(10, 10), new Point(30, -10), new Point(50, 10) };

            var lineSeries = new LineSeries(points);

            var result = lineSeries.Interpolate(new Double[] { 0, 5, 10, 15, 20, 25, 35, 40, 45 });

            var expectedResult = new List<Point>()
                                     {
                                         new Point(0,0),
                                         new Point(5,5),
                                         new Point(10,10),
                                         new Point(15,5),
                                         new Point(20, 0),
                                         new Point(25, -5),
                                         new Point(35,-5),
                                         new Point(40,0),
                                         new Point(45,5)
                                     };

            CollectionAssert.AreEqual(expectedResult, result);
        }