Examples with Cursor com.google.firestore.v1.Cursor used on opensource projects

Example 1 with Cursor

use of com.google.firestore.v1.Cursor in project beam by apache.

the class PartitionQueryResponseToRunQueryRequestTest method ensureCursorPairingWorks.

@Test
public void ensureCursorPairingWorks() {
    StructuredQuery query = StructuredQuery.newBuilder().addFrom(CollectionSelector.newBuilder().setAllDescendants(true).setCollectionId("c1").build()).build();
    Cursor cursor1 = referenceValueCursor("projects/p1/databases/d1/documents/c1/doc1");
    Cursor cursor2 = referenceValueCursor("projects/p1/databases/d1/documents/c1/doc2");
    Cursor cursor3 = referenceValueCursor("projects/p1/databases/d1/documents/c1/doc2/c2/doc2");
    List<StructuredQuery> expectedQueries = newArrayList(newQueryWithCursors(query, null, cursor1), newQueryWithCursors(query, cursor1, cursor2), newQueryWithCursors(query, cursor2, cursor3), newQueryWithCursors(query, cursor3, null));
    PartitionQueryPair partitionQueryPair = new PartitionQueryPair(PartitionQueryRequest.newBuilder().setStructuredQuery(query).build(), PartitionQueryResponse.newBuilder().addPartitions(cursor3).addPartitions(cursor1).addPartitions(cursor2).build());
    ArgumentCaptor<RunQueryRequest> captor = ArgumentCaptor.forClass(RunQueryRequest.class);
    when(processContext.element()).thenReturn(partitionQueryPair);
    doNothing().when(processContext).output(captor.capture());
    PartitionQueryResponseToRunQueryRequest fn = new PartitionQueryResponseToRunQueryRequest();
    fn.processElement(processContext);
    List<StructuredQuery> actualQueries = captor.getAllValues().stream().map(RunQueryRequest::getStructuredQuery).collect(Collectors.toList());
    assertEquals(expectedQueries, actualQueries);
}

Example 2 with Cursor

use of com.google.firestore.v1.Cursor in project imagej-ops by imagej.

the class WatershedSeeded method compute.

@SuppressWarnings("unchecked")
@Override
public void compute(final RandomAccessibleInterval<T> in, final ImgLabeling<Integer, IntType> out) {
    // extend border to be able to do a quick check, if a voxel is inside
    final LabelingType<Integer> oustide = out.firstElement().copy();
    oustide.clear();
    oustide.add(OUTSIDE);
    final ExtendedRandomAccessibleInterval<LabelingType<Integer>, ImgLabeling<Integer, IntType>> outExt = Views.extendValue(out, oustide);
    final OutOfBounds<LabelingType<Integer>> raOut = outExt.randomAccess();
    // if no mask provided, set the mask to the whole image
    if (mask == null) {
        mask = (RandomAccessibleInterval<B>) ops().create().img(in, new BitType());
        for (B b : Views.flatIterable(mask)) {
            b.set(true);
        }
    }
    // initialize output labels
    final Cursor<B> maskCursor = Views.flatIterable(mask).cursor();
    while (maskCursor.hasNext()) {
        maskCursor.fwd();
        if (maskCursor.get().get()) {
            raOut.setPosition(maskCursor);
            raOut.get().clear();
            raOut.get().add(INIT);
        }
    }
    // RandomAccess for Mask, Seeds and Neighborhoods
    final RandomAccess<B> raMask = mask.randomAccess();
    final RandomAccess<LabelingType<Integer>> raSeeds = seeds.randomAccess();
    final Shape shape;
    if (useEightConnectivity) {
        shape = new RectangleShape(1, true);
    } else {
        shape = new DiamondShape(1);
    }
    final RandomAccessible<Neighborhood<T>> neighborhoods = shape.neighborhoodsRandomAccessible(in);
    final RandomAccess<Neighborhood<T>> raNeigh = neighborhoods.randomAccess();
    /*
		 * Carry over the seeding points to the new label and adds them to a
		 * voxel priority queue
		 */
    final PriorityQueue<WatershedVoxel> pq = new PriorityQueue<>();
    // Only iterate seeds that are not excluded by the mask
    final IterableRegion<B> maskRegions = Regions.iterable(mask);
    final IterableInterval<LabelingType<Integer>> seedsMasked = Regions.sample(maskRegions, seeds);
    final Cursor<LabelingType<Integer>> cursorSeeds = seedsMasked.localizingCursor();
    while (cursorSeeds.hasNext()) {
        final Set<Integer> l = cursorSeeds.next();
        if (l.isEmpty()) {
            continue;
        }
        if (l.size() > 1) {
            throw new IllegalArgumentException("Seeds must have exactly one label!");
        }
        final Integer label = l.iterator().next();
        if (label < 0) {
            throw new IllegalArgumentException("Seeds must have positive integers as labels!");
        }
        raNeigh.setPosition(cursorSeeds);
        final Cursor<T> neighborhood = raNeigh.get().cursor();
        // Add unlabeled neighbors to priority queue
        while (neighborhood.hasNext()) {
            neighborhood.fwd();
            raSeeds.setPosition(neighborhood);
            raMask.setPosition(neighborhood);
            raOut.setPosition(neighborhood);
            final Integer labelNeigh = raOut.get().iterator().next();
            if (labelNeigh != INQUEUE && labelNeigh != OUTSIDE && !raOut.isOutOfBounds() && raMask.get().get() && raSeeds.get().isEmpty()) {
                raOut.setPosition(neighborhood);
                pq.add(new WatershedVoxel(IntervalIndexer.positionToIndex(neighborhood, in), neighborhood.get().getRealDouble()));
                raOut.get().clear();
                raOut.get().add(INQUEUE);
            }
        }
        // Overwrite label in output with the seed label
        raOut.setPosition(cursorSeeds);
        raOut.get().clear();
        raOut.get().add(label);
    }
    /*
		 * Pop the head of the priority queue, label and push all unlabeled
		 * neighbored pixels.
		 */
    // list to store neighbor labels
    final ArrayList<Integer> neighborLabels = new ArrayList<>();
    // list to store neighbor voxels
    final ArrayList<WatershedVoxel> neighborVoxels = new ArrayList<>();
    // iterate the queue
    final Point pos = new Point(in.numDimensions());
    while (!pq.isEmpty()) {
        IntervalIndexer.indexToPosition(pq.poll().getPos(), out, pos);
        // reset list of neighbor labels
        neighborLabels.clear();
        // reset list of neighbor voxels
        neighborVoxels.clear();
        // iterate the neighborhood of the pixel
        raNeigh.setPosition(pos);
        final Cursor<T> neighborhood = raNeigh.get().cursor();
        while (neighborhood.hasNext()) {
            neighborhood.fwd();
            // Unlabeled neighbors go into the queue if they are not there
            // yet
            raOut.setPosition(neighborhood);
            raMask.setPosition(raOut);
            if (!raOut.get().isEmpty()) {
                final Integer label = raOut.get().iterator().next();
                if (label == INIT && raMask.get().get()) {
                    neighborVoxels.add(new WatershedVoxel(IntervalIndexer.positionToIndex(neighborhood, out), neighborhood.get().getRealDouble()));
                } else {
                    if (label > WSHED && (!drawWatersheds || !neighborLabels.contains(label))) {
                        // store labels of neighbors in a list
                        neighborLabels.add(label);
                    }
                }
            }
        }
        if (drawWatersheds) {
            // if the neighbors of the extracted voxel that have already
            // been labeled
            // all have the same label, then the voxel is labeled with their
            // label.
            raOut.setPosition(pos);
            raOut.get().clear();
            if (neighborLabels.size() == 1) {
                raOut.get().add(neighborLabels.get(0));
                // list
                for (final WatershedVoxel v : neighborVoxels) {
                    IntervalIndexer.indexToPosition(v.getPos(), out, raOut);
                    raOut.get().clear();
                    raOut.get().add(INQUEUE);
                    pq.add(v);
                }
            } else if (neighborLabels.size() > 1)
                raOut.get().add(WSHED);
        } else {
            if (neighborLabels.size() > 0) {
                raOut.setPosition(pos);
                raOut.get().clear();
                // take the label which most of the neighbors have
                if (neighborLabels.size() > 2) {
                    final Map<Integer, Long> countLabels = neighborLabels.stream().collect(Collectors.groupingBy(e -> e, Collectors.counting()));
                    final Integer keyMax = Collections.max(countLabels.entrySet(), Comparator.comparingLong(Map.Entry::getValue)).getKey();
                    raOut.get().add(keyMax);
                } else {
                    raOut.get().add(neighborLabels.get(0));
                }
                // list
                for (final WatershedVoxel v : neighborVoxels) {
                    IntervalIndexer.indexToPosition(v.getPos(), out, raOut);
                    raOut.get().clear();
                    raOut.get().add(INQUEUE);
                    pq.add(v);
                }
            }
        }
    }
    /*
		 * Merge already present labels before calculation of watershed
		 */
    if (out() != null) {
        final Cursor<LabelingType<Integer>> cursor = out().cursor();
        while (cursor.hasNext()) {
            cursor.fwd();
            raOut.setPosition(cursor);
            final List<Integer> labels = new ArrayList<>();
            cursor.get().iterator().forEachRemaining(labels::add);
            raOut.get().addAll(labels);
        }
    }
}