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

Example 81 with SeededTest

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

the class ConvolutionTest method canComputeDoubleScaledConvolution.

@SeededTest
void canComputeDoubleScaledConvolution(RandomSeed seed) {
    final UniformRandomProvider random = RngUtils.create(seed.getSeed());
    final TDoubleArrayList list = new TDoubleArrayList();
    int size = 10;
    for (int i = 0; i < sizeLoops / 2; i++) {
        double sd = 0.5;
        for (int j = 0; j < sdLoops; j++) {
            final double[] data1 = randomData(random, size);
            final double[] data2 = randomData(random, size);
            final double[] kernel = createKernel(sd);
            for (int scale = 2; scale < 5; scale++) {
                final double[] e1 = convolve(kernel, data1, list, scale);
                final double[] e2 = convolve(kernel, data2, list, scale);
                final double[][] o = Convolution.convolve(kernel, data1, data2, scale);
                final double[][] o2 = new double[2][o[0].length];
                Convolution.convolve(kernel, data1, data2, scale, new DoubleConvolutionValueProcedure() {

                    int index = 0;

                    @Override
                    public boolean execute(double value1, double value2) {
                        o2[0][index] = value1;
                        o2[1][index] = value2;
                        index++;
                        return true;
                    }
                });
                Assertions.assertArrayEquals(e1, o[0]);
                Assertions.assertArrayEquals(e1, o2[0]);
                Assertions.assertArrayEquals(e2, o[1]);
                Assertions.assertArrayEquals(e2, o2[1]);
            }
            sd *= 2;
        }
        size *= 2;
    }
}

Example 82 with SeededTest

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

the class ConvolutionTest method canComputeDoubleConvolution.

@SeededTest
void canComputeDoubleConvolution(RandomSeed seed) {
    final UniformRandomProvider random = RngUtils.create(seed.getSeed());
    int size = 10;
    for (int i = 0; i < sizeLoops; i++) {
        double sd = 0.5;
        for (int j = 0; j < sdLoops; j++) {
            final double[] data1 = randomData(random, size);
            final double[] data2 = randomData(random, size);
            final double[] kernel = createKernel(sd);
            double[] e1;
            double[] e2;
            double[][] r1;
            for (int fft = 0; fft < 2; fft++) {
                if (fft == 1) {
                    e1 = Convolution.convolveFft(kernel, data1);
                    e2 = Convolution.convolveFft(kernel, data2);
                    r1 = Convolution.convolveFft(kernel, data1, data2);
                } else {
                    e1 = Convolution.convolve(kernel, data1);
                    e2 = Convolution.convolve(kernel, data2);
                    r1 = Convolution.convolve(kernel, data1, data2);
                }
                Assertions.assertEquals(r1.length, 2);
                Assertions.assertEquals(e1.length, r1[0].length);
                Assertions.assertEquals(e2.length, r1[1].length);
                for (int k = 0; k < e1.length; k++) {
                    // Exact match
                    Assertions.assertEquals(e1[k], r1[0][k]);
                    Assertions.assertEquals(e2[k], r1[1][k]);
                }
            }
            sd *= 2;
        }
        size *= 2;
    }
}

Example 83 with SeededTest

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

the class ConvolutionTest method canComputeDoubleScaledConvolutionWithEarlyExit.

@SeededTest
void canComputeDoubleScaledConvolutionWithEarlyExit(RandomSeed seed) {
    final UniformRandomProvider random = RngUtils.create(seed.getSeed());
    int size = 10;
    final int sizeLoops = 4;
    final int sLoops = 2;
    for (int i = 0; i < sizeLoops; i++) {
        double sd = 0.5;
        for (int j = 0; j < sLoops; j++) {
            final double[] data1 = randomData(random, size);
            final double[] data2 = randomData(random, size);
            final double[] kernel = createKernel(sd);
            for (int scale = 2; scale < 5; scale++) {
                final double[][] e = Convolution.convolve(kernel, data1, data2, scale);
                final double[][] o = new double[2][e[0].length];
                final int limit = data1.length;
                Convolution.convolve(kernel, data1, data2, scale, new DoubleConvolutionValueProcedure() {

                    int index = 0;

                    @Override
                    public boolean execute(double value1, double value2) {
                        o[0][index] = value1;
                        o[1][index] = value1;
                        index++;
                        return index < limit;
                    }
                });
                int index = 0;
                for (; index < limit; index++) {
                    Assertions.assertEquals(e[0][index], o[0][index]);
                    Assertions.assertEquals(e[0][index], o[1][index]);
                }
                while (index < o.length) {
                    Assertions.assertEquals(0, o[0][index]);
                    Assertions.assertEquals(0, o[1][index]);
                    index++;
                }
            }
            sd *= 2;
        }
        size *= 2;
    }
}

Example 84 with SeededTest

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

the class ConvolutionTest method canComputeScaledConvolutionWithEarlyExit.

@SeededTest
void canComputeScaledConvolutionWithEarlyExit(RandomSeed seed) {
    final UniformRandomProvider random = RngUtils.create(seed.getSeed());
    int size = 10;
    final int sizeLoops = 4;
    final int sLoops = 2;
    for (int i = 0; i < sizeLoops; i++) {
        double sd = 0.5;
        for (int j = 0; j < sLoops; j++) {
            final double[] data = randomData(random, size);
            final double[] kernel = createKernel(sd);
            for (int scale = 2; scale < 5; scale++) {
                final double[] e = Convolution.convolve(kernel, data, scale);
                final double[] o = new double[e.length];
                final int limit = data.length;
                Convolution.convolve(kernel, data, scale, new ConvolutionValueProcedure() {

                    int index = 0;

                    @Override
                    public boolean execute(double value) {
                        o[index++] = value;
                        return index < limit;
                    }
                });
                int index = 0;
                for (; index < limit; index++) {
                    Assertions.assertEquals(e[index], o[index]);
                }
                while (index < o.length) {
                    Assertions.assertEquals(0, o[index++]);
                }
            }
            sd *= 2;
        }
        size *= 2;
    }
}

Example 85 with SeededTest

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

the class ConvolutionTest method doSpeedTest.

@SpeedTag
@SeededTest
void doSpeedTest(RandomSeed seed) {
    Assumptions.assumeTrue(logger.isLoggable(Level.INFO));
    Assumptions.assumeTrue(TestSettings.allow(TestComplexity.HIGH));
    final UniformRandomProvider rg = RngUtils.create(seed.getSeed());
    int size = 10;
    for (int i = 0; i < sizeLoops; i++) {
        double sd = 0.5;
        for (int j = 0; j < sdLoops; j++) {
            speedTest(rg, size, sd);
            sd *= 2;
        }
        size *= 2;
    }
}