// @Ignore affects the Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")
@IgnoreJRERequirement // We opt into library desugaring for our tests.
public class MapComputeIfAbsentTester<K, V> extends AbstractMapTester<K, V> {

  @MapFeature.Require(SUPPORTS_PUT)
  public void testComputeIfAbsent_supportedAbsent() {
    assertEquals(

// @Ignore affects the Android test runner, which respects JUnit 4 annotations on JUnit 3 tests.
@SuppressWarnings("JUnit4ClassUsedInJUnit3")
@IgnoreJRERequirement // We opt into library desugaring for our tests.
public class MapReplaceEntryTester<K, V> extends AbstractMapTester<K, V> {

  @MapFeature.Require(SUPPORTS_PUT)
  @CollectionSize.Require(absent = ZERO)

/**
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
class MethodMap {
    private static final int MORE_SPECIFIC = 0;

    private static final int LESS_SPECIFIC = 1;

    private static final int INCOMPARABLE = 2;

    /**
     * Keep track of all methods with the same name.
     */
    private final Map<String, List<Method>> methodByNameMap = new Hashtable<>();

   * This will typically return null until [ResponseBody.source] has buffered the last byte of the
   * response body. Call `body.source().request(1024 * 1024)` to block until either that's done, or
   * 1 MiB of response data is loaded into memory. (You could use any size here, though large values
   * risk exhausting memory.)
   *
   * This returns an empty value if the trailers are available, but have no data.
   *

    private final Object[] columnKeys;

    private final Object[] cellValues;
    private final int[] cellRowIndices;
    private final int[] cellColumnIndices;

    private SerializedForm(
        Object[] rowKeys,
        Object[] columnKeys,
        Object[] cellValues,
        int[] cellRowIndices,
        int[] cellColumnIndices) {
      this.rowKeys = rowKeys;
      this.columnKeys = columnKeys;

		v, err := iter.Float()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeInt:
		v, err := iter.Int()
		if err != nil {
			return nil, err
		}
		return v, nil
	case simdjson.TypeUint:
		v, err := iter.Int()
		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return v, err
		}
		return v, nil
	case simdjson.TypeBool:

CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow...

    public static List<AvPair> decode(final byte[] data) throws CIFSException {
        final List<AvPair> pairs = new LinkedList<>();
        int pos = 0;
        boolean foundEnd = false;
        while (pos + 4 <= data.length) {
            final int avId = SMBUtil.readInt2(data, pos);
            final int avLen = SMBUtil.readInt2(data, pos + 2);
            pos += 4;

            if (avId == AvPair.MsvAvEOL) {
                if (avLen != 0) {

        String xpackTest = "bar/10_basic.yml"
        setupRestResources([apiCore1, apiCore2, apiXpack], [coreTest], [xpackTest])

        // drop a value to replace from expansions above into a test file
        file("rest-api-spec/src/yamlRestTest/resources/rest-api-spec/test/" + coreTest) << "@replacedValue@"

        // intentionally not adding tests to project, they will be copied over via the plugin

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

bool IsScalarConst(const tensorflow::NodeDef& node_def, int v);

bool IsAddN(const tensorflow::NodeDef& node_def, int n);