@NullUnmarked
public class CompactHashSetTest extends TestCase {
  @AndroidIncompatible // test-suite builders
  public static Test suite() {
    List<Feature<?>> allFeatures =
        Arrays.<Feature<?>>asList(
            CollectionSize.ANY,
            CollectionFeature.ALLOWS_NULL_VALUES,
            CollectionFeature.FAILS_FAST_ON_CONCURRENT_MODIFICATION,

/**
 * @author George van den Driessche
 */
public class FeatureUtilTest extends TestCase {
  enum ExampleFeature implements Feature<Object> {
    FOO,
    IMPLIES_FOO,
    IMPLIES_IMPLIES_FOO,
    BAR,
    IMPLIES_BAR,
    IMPLIES_IMPLIES_FOO_AND_IMPLIES_BAR;

    @Override
    public ImmutableSet<Feature<? super Object>> getImpliedFeatures() {
      switch (this) {
        case IMPLIES_FOO:
          return ImmutableSet.of(FOO);

@GwtCompatible
public class ConflictingRequirementsException extends Exception {
  private final Set<Feature<?>> conflicts;
  private final Object source;

  public ConflictingRequirementsException(
      String message, Set<Feature<?>> conflicts, Object source) {
    super(message);
    this.conflicts = conflicts;
    this.source = source;
  }

  public Set<Feature<?>> getConflicts() {
    return conflicts;
  }

  public Object getSource() {

 * specific language governing permissions and limitations
 * under the License.
 */

/**
 * Provides feature flag management and configuration capabilities for Maven core functionality.
 *
 * @since 4.0.0
 */

Build/Install - Performance - Support - Feature Request - Documentation Feature
Request - Documentation Bug - Others validations: required: true - type:
markdown attributes: value: | Please make sure that this is a bug. As per our
[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we
only address code/doc bugs, performance issues, feature requests and
build/installation issues on GitHub.

## How to test this PR?


## Types of changes
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Optimization (provides speedup with no functional changes)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)

## Checklist:
- [ ] Fixes a regression (If yes, please add `commit-id` or `PR #` here)

@SuppressWarnings("rawtypes") // maybe avoidable if we rework the whole package?
@GwtCompatible
public enum MultisetFeature implements Feature<Multiset> {
  /**
   * Indicates that elements from {@code Multiset.entrySet()} update to reflect changes in the
   * backing multiset.
   */
  ENTRIES_ARE_VIEWS;

  @Override
  public Set<Feature<? super Multiset>> getImpliedFeatures() {
    return emptySet();
  }

  @Retention(RetentionPolicy.RUNTIME)

	ErasureSDStr string = "ErasureSD"

	// ErasureTestStr is the string which is used as notation for Erasure ObjectLayer in the unit tests.
	ErasureTestStr string = "Erasure"

	// ErasureSetsTestStr is the string which is used as notation for Erasure sets object layer in the unit tests.
	ErasureSetsTestStr string = "ErasureSet"
)

const letterBytes = "abcdefghijklmnopqrstuvwxyz01234569"

      octets[c] = true;
    }
    return octets;
  }

  /*
   * Overridden for performance. For unescaped strings this improved the performance of the uri
   * escaper from ~760ns to ~400ns as measured by {@link CharEscapersBenchmark}.
   */
  @Override
  protected int nextEscapeIndex(CharSequence csq, int index, int end) {
    checkNotNull(csq);
    for (; index < end; index++) {

*   When you contribute a new feature to TensorFlow, the maintenance burden is
    (by default) transferred to the TensorFlow team. This means that the benefit
    of the contribution must be compared against the cost of maintaining the
    feature.
*   Full new features (e.g., a new op implementing a cutting-edge algorithm)
    typically will live in