Examples with SeededTest uk.ac.sussex.gdsc.test.junit5.SeededTest used on opensource projects

Example 76 with SeededTest

use of uk.ac.sussex.gdsc.test.junit5.SeededTest in project GDSC-SMLM by aherbert.

the class PerPixelCameraModelTest method canCropAndConvertDataWithCropBounds.

@SeededTest
void canCropAndConvertDataWithCropBounds(RandomSeed seed) {
    final PerPixelCameraModelTestData data = (PerPixelCameraModelTestData) dataCache.computeIfAbsent(seed, PerPixelCameraModelTest::createData);
    final PerPixelCameraModel model = new PerPixelCameraModel(w, h, data.bias, data.gain, data.variance);
    final UniformRandomProvider rand = RngUtils.create(seed.getSeed());
    final ImageExtractor ie = ImageExtractor.wrap(data.bias, w, h);
    for (int j = 0; j < 10; j++) {
        final Rectangle bounds = getBounds(rand, ie);
        checkConversion(data, bounds, model.crop(bounds, false));
    }
}

Example 77 with SeededTest

use of uk.ac.sussex.gdsc.test.junit5.SeededTest in project GDSC-SMLM by aherbert.

the class Gaussian2DPeakResultHelperTest method canComputeMeanSignalUsingP.

@SeededTest
void canComputeMeanSignalUsingP(RandomSeed seed) {
    final UniformRandomProvider rg = RngUtils.create(seed.getSeed());
    final DoubleDoubleBiPredicate predicate = TestHelper.doublesAreClose(1e-10, 0);
    for (int i = 0; i < 10; i++) {
        final double intensity = rg.nextDouble() * 100;
        final double sx = rg.nextDouble() * 2;
        final double sy = rg.nextDouble() * 2;
        final double p = rg.nextDouble();
        double expected = intensity * p / (Math.PI * MathUtils.pow2(Gaussian2DPeakResultHelper.inverseCumulative2D(p)) * sx * sy);
        double observed = Gaussian2DPeakResultHelper.getMeanSignalUsingP(intensity, sx, sy, p);
        assertEquals(expected, observed, predicate);
        // Test fixed versions verse dynamic
        expected = Gaussian2DPeakResultHelper.getMeanSignalUsingP(intensity, sx, sy, 0.5);
        observed = Gaussian2DPeakResultHelper.getMeanSignalUsingP05(intensity, sx, sy);
        assertEquals(expected, observed, predicate);
    }
}

Example 78 with SeededTest

use of uk.ac.sussex.gdsc.test.junit5.SeededTest in project GDSC-SMLM by aherbert.

the class Gaussian2DPeakResultHelperTest method canComputeMeanSignalUsingR.

@SeededTest
void canComputeMeanSignalUsingR(RandomSeed seed) {
    final UniformRandomProvider rg = RngUtils.create(seed.getSeed());
    final DoubleDoubleBiPredicate predicate = TestHelper.doublesAreClose(1e-10, 0);
    for (int i = 0; i < 10; i++) {
        final double intensity = rg.nextDouble() * 100;
        final double sx = rg.nextDouble() * 2;
        final double sy = rg.nextDouble() * 2;
        final double r = rg.nextDouble() * 5;
        assertEquals(intensity * Gaussian2DPeakResultHelper.cumulative2D(r) / (Math.PI * r * r * sx * sy), Gaussian2DPeakResultHelper.getMeanSignalUsingR(intensity, sx, sy, r), predicate);
        // Test fixed versions verse dynamic
        assertEquals(Gaussian2DPeakResultHelper.getMeanSignalUsingR(intensity, sx, sy, 1), Gaussian2DPeakResultHelper.getMeanSignalUsingR1(intensity, sx, sy), predicate);
        assertEquals(Gaussian2DPeakResultHelper.getMeanSignalUsingR(intensity, sx, sy, 2), Gaussian2DPeakResultHelper.getMeanSignalUsingR2(intensity, sx, sy), predicate);
    }
}

Example 79 with SeededTest

use of uk.ac.sussex.gdsc.test.junit5.SeededTest in project GDSC-SMLM by aherbert.

the class PoissonDistributionTest method canComputeCumulativeProbability.

@SeededTest
void canComputeCumulativeProbability(RandomSeed seed) {
    final UniformRandomProvider rng = RngUtils.create(seed.getSeed());
    final PoissonDistribution fpd = new PoissonDistribution(1);
    for (int i = 1; i <= 100; i++) {
        final double mean = rng.nextDouble() * i;
        final org.apache.commons.math3.distribution.PoissonDistribution pd = createReferencePoissonDistribution(mean);
        fpd.setMean(mean);
        final int lower = (int) Math.floor(Math.max(0, mean - 5 * Math.sqrt(mean)));
        final int upper = (int) Math.ceil((mean + 5 * Math.sqrt(mean)));
        for (int x = lower; x <= upper; x++) {
            Assertions.assertEquals(pd.cumulativeProbability(x), fpd.cumulativeProbability(x), 1e-16);
        }
    }
}

Example 80 with SeededTest

use of uk.ac.sussex.gdsc.test.junit5.SeededTest in project GDSC-SMLM by aherbert.

the class FilterTest method canCompareMultiFilter.

@SeededTest
void canCompareMultiFilter(RandomSeed seed) {
    final UniformRandomProvider UniformRandomProvider = RngUtils.create(seed.getSeed());
    final MultiFilter f = new MultiFilter(0, 0, 0, 0, 0, 0, 0, 0, 0);
    for (int i = 1000; i-- > 0; ) {
        final MultiFilter f1 = (MultiFilter) f.create(random(f.getNumberOfParameters(), UniformRandomProvider));
        final MultiFilter f2 = (MultiFilter) f.create(random(f.getNumberOfParameters(), UniformRandomProvider));
        final int e = f1.weakest((Filter) f2);
        final int o = f1.weakest(f2);
        Assertions.assertEquals(e, o);
    }
}