*   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

   * java.util.Collections#emptySet}
   */
  NONE;

  private final Set<Feature<? super Collection>> implied;

  CollectionFeature(Feature<? super Collection>... implied) {
    this.implied = copyToSet(implied);
  }

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

  @Retention(RetentionPolicy.RUNTIME)

### Development Workflow
1. **Fork** the repository on GitHub
2. **Create** your feature branch: `git checkout -b feature/amazing-feature`
3. **Follow** the coding standards: `mvn formatter:format`
4. **Add** comprehensive tests for new functionality
5. **Commit** your changes: `git commit -m 'Add amazing feature'`
6. **Push** to the branch: `git push origin feature/amazing-feature`
7. **Submit** a Pull Request with detailed description

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

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

  }

  /**
   * To avoid infinite recursion, test suites with these marker features won't have derived suites
   * created for them.
   */
  enum NoRecurse implements Feature<@Nullable Void> {
    SUBMAP,
    DESCENDING;

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

  /**
   * Creates a suite whose map has some elements filtered out of view.

## 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)

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.

@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() {

/**
 * @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);

	}
	fi.Erasure.Algorithm = j.ErasureAlgorithm.String()
	fi.Erasure.Index = j.ErasureIndex
	fi.Erasure.BlockSize = j.ErasureBlockSize
	fi.Erasure.DataBlocks = j.ErasureM
	fi.Erasure.ParityBlocks = j.ErasureN
	fi.Erasure.Distribution = make([]int, len(j.ErasureDist))
	for i := range j.ErasureDist {
		fi.Erasure.Distribution[i] = int(j.ErasureDist[i])
	}