SetOpAttrValueScalar(ctx, op, i_list_values, "strides", status);

  tensorflow::AttrValue padding_value;
  *padding_value.mutable_s() = "VALID";
  tensorflow::SetOpAttrValueScalar(ctx, op, padding_value, "padding", status);

  tensorflow::AttrValue data_format_value;
  *data_format_value.mutable_s() = "NHWC";
  tensorflow::SetOpAttrValueScalar(ctx, op, data_format_value, "data_format",
                                   status);

  ) {
    if (byteCount < 0L || byteCount > source.size) {
      throw IndexOutOfBoundsException()
    }
    var mutablePos = pos
    var mutableByteCount = byteCount

    while (mutableByteCount > 0L) {
      val bytesWritten = fileChannel.transferFrom(source, mutablePos, mutableByteCount)
      mutablePos += bytesWritten
      mutableByteCount -= bytesWritten
    }
  }

  /**

 * suggestions.
 *
 */
public class SortedCopyBenchmark {
  @Param({"1", "10", "1000", "1000000"})
  int size; // logarithmic triangular

  @Param boolean mutable;

  @Param InputOrder inputOrder;

  enum InputOrder {
    SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
      }
    },
    ALMOST_SORTED {
      @Override

 * suggestions.
 *
 */
public class SortedCopyBenchmark {
  @Param({"1", "10", "1000", "1000000"})
  int size; // logarithmic triangular

  @Param boolean mutable;

  @Param InputOrder inputOrder;

  enum InputOrder {
    SORTED {
      @Override
      void arrange(List<Integer> list) {
        sort(list);
      }
    },
    ALMOST_SORTED {
      @Override

 */
@Experimental
@Consumer
@Named
public interface PropertyContributor extends SpiService {
    /**
     * Invoked just before session is created with a mutable map that carries collected user properties so far.
     *
     * @param userProperties The mutable user properties, never {@code null}.
     */
    void contribute(Map<String, String> userProperties);

        assertEquals(mutable, copy);
      }

      ImmutableRangeSet<Integer> built = builder.build();
      assertEquals(mutable, built);
      assertEquals(ImmutableRangeSet.copyOf(mutable), built);
      assertEquals(mutable.complement(), built.complement());

      for (int i = 0; i <= 11; i++) {
        assertEquals(mutable.contains(i), built.contains(i));
      }

    /**
     * This method is used to initialize the TransformerContext
     *
     * @param request the modelBuildingRequest
     * @param problems the problemCollector
     * @return the mutable transformerContext
     */
    TransformerContext initialize(ModelBuildingRequest request, ModelProblemCollector problems);

    /**
     * The immutable transformerContext, can be used after the buildplan is finished.

//
public interface RepositoryCache {

    /**
     * Puts the specified data into the cache. <strong>Warning:</strong> The cache will directly save the provided
     * reference. If the cached data is mutable, i.e. could be modified after being put into the cache, the caller is
     * responsible for creating a copy of the original data and store the copy in the cache.
     *

    }

    void add(Object o) {
      checkNotNull(o);
      if (element == null) {
        this.element = o;
      } else if (extras.isEmpty()) {
        // Replace immutable empty list with mutable list.
        extras = new ArrayList<>(MAX_EXTRAS);
        extras.add(o);
      } else if (extras.size() < MAX_EXTRAS) {
        extras.add(o);
      } else {
        throw multiples(true);
      }
    }

 * href="https://github.com/google/guava/wiki/GraphsExplained#accessor-behavior">the external
 * documentation</a> for details.
 *
 * <p>Examples of use:
 *
 * <pre>{@code
 * // Building a mutable value graph
 * MutableValueGraph<String, Double> graph =
 *     ValueGraphBuilder.undirected().allowsSelfLoops(true).build();
 * graph.putEdgeValue("San Francisco", "San Francisco", 0.0);