Examples with UniformRandomProvider org.apache.commons.rng.UniformRandomProvider used on opensource projects

Example 1 with UniformRandomProvider

use of org.apache.commons.rng.UniformRandomProvider in project zm-mailbox by Zimbra.

the class ZimbraJWToken method getEncoded.

@Override
public String getEncoded() throws AuthTokenException {
    if (properties.getEncoded() == null) {
        try {
            ZimbraLog.account.debug("auth: generating jwt token for account id: %s", properties.getAccountId());
            UniformRandomProvider rng = RandomSource.create(RandomSource.MWC_256);
            RandomStringGenerator generator = new RandomStringGenerator.Builder().withinRange('a', 'z').usingRandom(rng::nextInt).build();
            salt = generator.generate(SALT_LENGTH);
            AuthTokenKey key = AuthTokenUtil.getCurrentKey();
            byte[] finalKey = Bytes.concat(key.getKey(), salt.getBytes());
            String jwt = JWTUtil.generateJWT(finalKey, salt, issuedAt, properties, key.getVersion());
            properties.setEncoded(jwt);
        } catch (ServiceException e) {
            throw new AuthTokenException("unable to generate jwt", e);
        }
    }
    return properties.getEncoded();
}

Example 2 with UniformRandomProvider

use of org.apache.commons.rng.UniformRandomProvider in project GDSC-SMLM by aherbert.

the class CreateData method validateCameraOptions.

private void validateCameraOptions() {
    final CameraType cameraType = settings.getCameraType();
    final boolean isCcd = CalibrationProtosHelper.isCcdCameraType(cameraType);
    if (isCcd) {
        if (cameraType == CameraType.EMCCD) {
            ParameterUtils.isPositive("EM gain", settings.getEmGain());
        }
        ParameterUtils.isPositive("Camera gain", settings.getCameraGain());
        ParameterUtils.isPositive("Read noise", settings.getReadNoise());
        final double noiseRange = settings.getReadNoise() * settings.getCameraGain() * 4;
        ParameterUtils.isEqualOrAbove("Bias must prevent clipping the read noise (@ +/- 4 StdDev) so ", settings.getBias(), noiseRange);
        cameraModel = createCcdCameraModel();
    } else if (cameraType == CameraType.SCMOS) {
        // Load the model
        cameraModel = CameraModelManager.load(settings.getCameraModelName());
        if (cameraModel == null) {
            throw new IllegalArgumentException("Unknown camera model for name: " + settings.getCameraModelName());
        }
        // Check the width is above the selected size
        Rectangle modelBounds = cameraModel.getBounds();
        final int size = settings.getSize();
        if (modelBounds.width < size || modelBounds.height < size) {
            throw new IllegalArgumentException(String.format("Camera model bounds [x=%d,y=%d,width=%d,height=%d] are smaller than " + "simulation size [%d]", modelBounds.x, modelBounds.y, modelBounds.width, modelBounds.height, size));
        }
        // Ask for a crop
        if (modelBounds.width > size || modelBounds.height > size) {
            final GenericDialog gd = new GenericDialog(TITLE);
            // @formatter:off
            ImageJUtils.addMessage(gd, "WARNING:\n \nCamera model bounds\n[x=%d,y=%d,width=%d,height=%d]\n" + "are larger than the simulation size [=%d].\n \nCrop the model?", modelBounds.x, modelBounds.y, modelBounds.width, modelBounds.height, size);
            // @formatter:on
            gd.addCheckbox("Random_crop", settings.getRandomCrop());
            final int upperx = modelBounds.x + modelBounds.width - size;
            final int uppery = modelBounds.y + modelBounds.height - size;
            gd.addSlider("Origin_x", modelBounds.x, upperx, MathUtils.clip(modelBounds.x, upperx, settings.getOriginX()));
            gd.addSlider("Origin_y", modelBounds.y, uppery, MathUtils.clip(modelBounds.y, uppery, settings.getOriginY()));
            gd.addHelp(HelpUrls.getUrl(helpKey));
            gd.showDialog();
            if (gd.wasCanceled()) {
                throw new IllegalArgumentException("Unknown camera model crop");
            }
            settings.setRandomCrop(gd.getNextBoolean());
            settings.setOriginX((int) gd.getNextNumber());
            settings.setOriginY((int) gd.getNextNumber());
            SettingsManager.writeSettings(settings.build());
            int ox;
            int oy;
            if (settings.getRandomCrop()) {
                final UniformRandomProvider rng = createRandomGenerator();
                ox = new DiscreteUniformSampler(rng, modelBounds.x, upperx).sample();
                oy = new DiscreteUniformSampler(rng, modelBounds.y, uppery).sample();
            } else {
                ox = settings.getOriginX();
                oy = settings.getOriginY();
            }
            final Rectangle bounds = new Rectangle(ox, oy, size, size);
            cameraModel = cameraModel.crop(bounds, false);
            modelBounds = cameraModel.getBounds();
            if (modelBounds.width != size || modelBounds.height != size) {
                throw new IllegalArgumentException("Failed to crop camera model to bounds: " + bounds);
            }
        }
    } else {
        throw new IllegalArgumentException("Unsupported camera type: " + CalibrationProtosHelper.getName(cameraType));
    }
}

Example 3 with UniformRandomProvider

use of org.apache.commons.rng.UniformRandomProvider in project GDSC-SMLM by aherbert.

the class CreateData method run.

@Override
public void run(String arg) {
    SmlmUsageTracker.recordPlugin(this.getClass(), arg);
    extraOptions = ImageJUtils.isExtraOptions();
    simpleMode = (arg != null && arg.contains("simple"));
    benchmarkMode = (arg != null && arg.contains("benchmark"));
    spotMode = (arg != null && arg.contains("spot"));
    trackMode = (arg != null && arg.contains("track"));
    if ("load".equals(arg)) {
        loadBenchmarkData();
        return;
    }
    // Each localisation set is a collection of localisations that represent all localisations
    // with the same ID that are on in the same image time frame (Note: the simulation
    // can create many localisations per fluorophore per time frame which is useful when
    // modelling moving particles)
    List<LocalisationModelSet> localisationSets = null;
    // Each fluorophore contains the on and off times when light was emitted
    List<? extends FluorophoreSequenceModel> fluorophores = null;
    if (simpleMode || benchmarkMode || spotMode) {
        if (!showSimpleDialog()) {
            return;
        }
        resetMemory();
        // 1 second frames
        settings.setExposureTime(1000);
        areaInUm = settings.getSize() * settings.getPixelPitch() * settings.getSize() * settings.getPixelPitch() / 1e6;
        // Number of spots per frame
        int count = 0;
        int[] nextN = null;
        SpatialDistribution dist;
        if (benchmarkMode) {
            // --------------------
            // BENCHMARK SIMULATION
            // --------------------
            // Draw the same point on the image repeatedly
            count = 1;
            dist = createFixedDistribution();
            try {
                reportAndSaveFittingLimits(dist);
            } catch (final Exception ex) {
                // This will be from the computation of the CRLB
                IJ.error(TITLE, ex.getMessage());
                return;
            }
        } else if (spotMode) {
            // ---------------
            // SPOT SIMULATION
            // ---------------
            // The spot simulation draws 0 or 1 random point per frame.
            // Ensure we have 50% of the frames with a spot.
            nextN = new int[settings.getParticles() * 2];
            Arrays.fill(nextN, 0, settings.getParticles(), 1);
            RandomUtils.shuffle(nextN, UniformRandomProviders.create());
            // Only put spots in the central part of the image
            final double border = settings.getSize() / 4.0;
            dist = createUniformDistribution(border);
        } else {
            // -----------------
            // SIMPLE SIMULATION
            // -----------------
            // The simple simulation draws n random points per frame to achieve a specified density.
            // No points will appear in multiple frames.
            // Each point has a random number of photons sampled from a range.
            // We can optionally use a mask. Create his first as it updates the areaInUm
            dist = createDistribution();
            // Randomly sample (i.e. not uniform density in all frames)
            if (settings.getSamplePerFrame()) {
                final double mean = areaInUm * settings.getDensity();
                ImageJUtils.log("Mean samples = %f", mean);
                if (mean < 0.5) {
                    final GenericDialog gd = new GenericDialog(TITLE);
                    gd.addMessage("The mean samples per frame is low: " + MathUtils.rounded(mean) + "\n \nContinue?");
                    gd.enableYesNoCancel();
                    gd.hideCancelButton();
                    gd.showDialog();
                    if (!gd.wasOKed()) {
                        return;
                    }
                }
                final PoissonSampler poisson = new PoissonSampler(createRandomGenerator(), mean);
                final StoredDataStatistics samples = new StoredDataStatistics(settings.getParticles());
                while (samples.getSum() < settings.getParticles()) {
                    samples.add(poisson.sample());
                }
                nextN = new int[samples.getN()];
                for (int i = 0; i < nextN.length; i++) {
                    nextN[i] = (int) samples.getValue(i);
                }
            } else {
                // Use the density to get the number per frame
                count = (int) Math.max(1, Math.round(areaInUm * settings.getDensity()));
            }
        }
        UniformRandomProvider rng = null;
        localisationSets = new ArrayList<>(settings.getParticles());
        final int minPhotons = (int) settings.getPhotonsPerSecond();
        final int range = (int) settings.getPhotonsPerSecondMaximum() - minPhotons + 1;
        if (range > 1) {
            rng = createRandomGenerator();
        }
        // Add frames at the specified density until the number of particles has been reached
        int id = 0;
        int time = 0;
        while (id < settings.getParticles()) {
            // Allow the number per frame to be specified
            if (nextN != null) {
                if (time >= nextN.length) {
                    break;
                }
                count = nextN[time];
            }
            // Simulate random positions in the frame for the specified density
            time++;
            for (int j = 0; j < count; j++) {
                final double[] xyz = dist.next();
                // Ignore within border. We do not want to draw things we cannot fit.
                // if (!distBorder.isWithinXy(xyz))
                // continue;
                // Simulate random photons
                final int intensity = minPhotons + ((rng != null) ? rng.nextInt(range) : 0);
                final LocalisationModel m = new LocalisationModel(id, time, xyz, intensity, LocalisationModel.CONTINUOUS);
                // Each localisation can be a separate localisation set
                final LocalisationModelSet set = new LocalisationModelSet(id, time);
                set.add(m);
                localisationSets.add(set);
                id++;
            }
        }
    } else {
        if (!showDialog()) {
            return;
        }
        resetMemory();
        areaInUm = settings.getSize() * settings.getPixelPitch() * settings.getSize() * settings.getPixelPitch() / 1e6;
        int totalSteps;
        double correlation = 0;
        ImageModel imageModel;
        if (trackMode) {
            // ----------------
            // TRACK SIMULATION
            // ----------------
            // In track mode we create fixed lifetime fluorophores that do not overlap in time.
            // This is the simplest simulation to test moving molecules.
            settings.setSeconds((int) Math.ceil(settings.getParticles() * (settings.getExposureTime() + settings.getTOn()) / 1000));
            totalSteps = 0;
            final double simulationStepsPerFrame = (settings.getStepsPerSecond() * settings.getExposureTime()) / 1000.0;
            imageModel = new FixedLifetimeImageModel(settings.getStepsPerSecond() * settings.getTOn() / 1000.0, simulationStepsPerFrame, createRandomGenerator());
        } else {
            // ---------------
            // FULL SIMULATION
            // ---------------
            // The full simulation draws n random points in space.
            // The same molecule may appear in multiple frames, move and blink.
            // 
            // Points are modelled as fluorophores that must be activated and then will
            // blink and photo-bleach. The molecules may diffuse and this can be simulated
            // with many steps per image frame. All steps from a frame are collected
            // into a localisation set which can be drawn on the output image.
            final SpatialIllumination activationIllumination = createIllumination(settings.getPulseRatio(), settings.getPulseInterval());
            // Generate additional frames so that each frame has the set number of simulation steps
            totalSteps = (int) Math.ceil(settings.getSeconds() * settings.getStepsPerSecond());
            // Since we have an exponential decay of activations
            // ensure half of the particles have activated by 30% of the frames.
            final double eAct = totalSteps * 0.3 * activationIllumination.getAveragePhotons();
            // Q. Does tOn/tOff change depending on the illumination strength?
            imageModel = new ActivationEnergyImageModel(eAct, activationIllumination, settings.getStepsPerSecond() * settings.getTOn() / 1000.0, settings.getStepsPerSecond() * settings.getTOffShort() / 1000.0, settings.getStepsPerSecond() * settings.getTOffLong() / 1000.0, settings.getNBlinksShort(), settings.getNBlinksLong(), createRandomGenerator());
            imageModel.setUseGeometricDistribution(settings.getNBlinksGeometricDistribution());
            // Only use the correlation if selected for the distribution
            if (PHOTON_DISTRIBUTION[PHOTON_CORRELATED].equals(settings.getPhotonDistribution())) {
                correlation = settings.getCorrelation();
            }
        }
        imageModel.setPhotonBudgetPerFrame(true);
        imageModel.setDiffusion2D(settings.getDiffuse2D());
        imageModel.setRotation2D(settings.getRotate2D());
        IJ.showStatus("Creating molecules ...");
        final SpatialDistribution distribution = createDistribution();
        final List<CompoundMoleculeModel> compounds = createCompoundMolecules();
        if (compounds == null) {
            return;
        }
        final List<CompoundMoleculeModel> molecules = imageModel.createMolecules(compounds, settings.getParticles(), distribution, settings.getRotateInitialOrientation());
        // Activate fluorophores
        IJ.showStatus("Creating fluorophores ...");
        // Note: molecules list will be converted to compounds containing fluorophores
        fluorophores = imageModel.createFluorophores(molecules, totalSteps);
        if (fluorophores.isEmpty()) {
            IJ.error(TITLE, "No fluorophores created");
            return;
        }
        // Map the fluorophore ID to the compound for mixtures
        if (compounds.size() > 1) {
            idToCompound = new TIntIntHashMap(fluorophores.size());
            for (final FluorophoreSequenceModel l : fluorophores) {
                idToCompound.put(l.getId(), l.getLabel());
            }
        }
        IJ.showStatus("Creating localisations ...");
        // TODO - Output a molecule Id for each fluorophore if using compound molecules. This allows
        // analysis
        // of the ratio of trimers, dimers, monomers, etc that could be detected.
        totalSteps = checkTotalSteps(totalSteps, fluorophores);
        if (totalSteps == 0) {
            return;
        }
        imageModel.setPhotonDistribution(createPhotonDistribution());
        try {
            imageModel.setConfinementDistribution(createConfinementDistribution());
        } catch (final ConfigurationException ex) {
            // We asked the user if it was OK to continue and they said no
            return;
        }
        // This should be optimised
        imageModel.setConfinementAttempts(10);
        final List<LocalisationModel> localisations = imageModel.createImage(molecules, settings.getFixedFraction(), totalSteps, settings.getPhotonsPerSecond() / settings.getStepsPerSecond(), correlation, settings.getRotateDuringSimulation());
        // Re-adjust the fluorophores to the correct time
        if (settings.getStepsPerSecond() != 1) {
            final double scale = 1.0 / settings.getStepsPerSecond();
            for (final FluorophoreSequenceModel f : fluorophores) {
                f.adjustTime(scale);
            }
        }
        // Integrate the frames
        localisationSets = combineSimulationSteps(localisations);
        localisationSets = filterToImageBounds(localisationSets);
    }
    datasetNumber.getAndIncrement();
    final List<LocalisationModel> localisations = drawImage(localisationSets);
    if (localisations == null || localisations.isEmpty()) {
        IJ.error(TITLE, "No localisations created");
        return;
    }
    fluorophores = removeFilteredFluorophores(fluorophores, localisations);
    final double signalPerFrame = showSummary(fluorophores, localisations);
    if (!benchmarkMode) {
        final boolean fullSimulation = (!(simpleMode || spotMode));
        saveSimulationParameters(localisations.size(), fullSimulation, signalPerFrame);
    }
    IJ.showStatus("Saving data ...");
    saveFluorophores(fluorophores);
    saveImageResults(results);
    saveLocalisations(localisations);
    // The settings for the filenames may have changed
    SettingsManager.writeSettings(settings.build());
    IJ.showStatus("Done");
}

Example 4 with UniformRandomProvider

use of org.apache.commons.rng.UniformRandomProvider in project GDSC-SMLM by aherbert.

the class JTransformsTest method jtransforms2DDhtIsFasterThanFht2.

@SpeedTag
@SeededTest
void jtransforms2DDhtIsFasterThanFht2(RandomSeed seed) {
    Assumptions.assumeTrue(TestSettings.allow(TestComplexity.MEDIUM));
    // Test the forward DHT of data. and reverse transform or the pre-computed correlation.
    final int size = 256;
    final int w = size / 4;
    final UniformRandomProvider r = RngUtils.create(seed.getSeed());
    // Blob in the centre
    FloatProcessor fp = createProcessor(size, size / 2 - w / 2, size / 2 - w / 2, w, w, null);
    final Fht fht2 = new Fht((float[]) fp.getPixels(), size, false);
    fht2.transform();
    fht2.initialiseFastMultiply();
    // Random blobs, original and correlated
    final int N = 40;
    final float[][] data = new float[N * 2][];
    final int lower = w;
    final int upper = size - w;
    final int range = upper - lower;
    for (int i = 0, j = 0; i < N; i++) {
        final int x = lower + r.nextInt(range);
        final int y = lower + r.nextInt(range);
        fp = createProcessor(size, x, y, w, w, r);
        final float[] pixels = (float[]) fp.getPixels();
        data[j++] = pixels.clone();
        final Fht fht1 = new Fht(pixels, size, false);
        fht1.copyTables(fht2);
        fht2.transform();
        final float[] pixels2 = new float[pixels.length];
        fht2.conjugateMultiply(fht2, pixels2);
        data[j++] = pixels2;
    }
    // CommonUtils.setThreadsBeginN_1D_FFT_2Threads(Long.MAX_VALUE);
    // CommonUtils.setThreadsBeginN_1D_FFT_4Threads(Long.MAX_VALUE);
    CommonUtils.setThreadsBeginN_2D(Long.MAX_VALUE);
    final TimingService ts = new TimingService();
    ts.execute(new ImageJFhtSpeedTask(size, data));
    ts.execute(new ImageJFht2SpeedTask(size, data));
    ts.execute(new JTransformsDhtSpeedTask(size, data));
    ts.repeat();
    if (logger.isLoggable(Level.INFO)) {
        logger.info(ts.getReport());
    }
    // Assertions.assertTrue(ts.get(-1).getMean() < ts.get(-2).getMean());
    final TimingResult slow = ts.get(-2);
    final TimingResult fast = ts.get(-1);
    logger.log(TestLogUtils.getTimingRecord(slow, fast));
}

Example 5 with UniformRandomProvider

use of org.apache.commons.rng.UniformRandomProvider in project GDSC-SMLM by aherbert.

the class ConfigurationTemplateTest method canLoadTemplateImageFromFile.

@SeededTest
void canLoadTemplateImageFromFile(RandomSeed seed) throws IOException {
    ConfigurationTemplate.clearTemplates();
    Assertions.assertEquals(0, ConfigurationTemplate.getTemplateNamesWithImage().length);
    // Create a dummy image
    final int size = 20;
    final float[] pixels = new float[size * size];
    final UniformRandomProvider r = RngUtils.create(seed.getSeed());
    for (int i = pixels.length; i-- > 0; ) {
        pixels[i] = r.nextFloat();
    }
    final ImagePlus imp = new ImagePlus("test", new FloatProcessor(size, size, pixels));
    final File tmpFile = File.createTempFile("tmp", ".tif");
    tmpFile.deleteOnExit();
    IJ.save(imp, tmpFile.getPath());
    final String name = "canLoadTemplateImageFromFile";
    final File file = new File(FileUtils.replaceExtension(tmpFile.getPath(), ".xml"));
    ConfigurationTemplate.saveTemplate(name, TemplateSettings.getDefaultInstance(), file);
    Assertions.assertEquals(1, ConfigurationTemplate.getTemplateNamesWithImage().length);
    final ImagePlus imp2 = ConfigurationTemplate.getTemplateImage(name);
    Assertions.assertNotNull(imp2);
    final float[] data = (float[]) imp2.getProcessor().toFloat(0, null).getPixels();
    Assertions.assertArrayEquals(pixels, data);
}