pre-calculated execution plan that stays the same during the execution.

      If deciding to add mutable state to this class, it should be at least considered to
      separate this into a separate mutable structure.

    */

    private final List<ExecutionPlanItem> planItem;

    private final Map<String, ExecutionPlanItem> lastMojoExecutionForAllPhases;

}

void TF_EnableXLACompilation(TF_SessionOptions* options, unsigned char enable) {
  tensorflow::ConfigProto& config = options->options.config;
  auto* optimizer_options =
      config.mutable_graph_options()->mutable_optimizer_options();
  if (enable) {
    optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1);

    // These XLA flags are needed to trigger XLA properly from C (more generally

name: Proposals
description: New external API or other notable changes
title: "proposal: import/path: proposal title"
labels: ["Proposal"]
body:
  - type: markdown
    attributes:
      value: "Our proposal process is documented here: https://go.dev/s/proposal-process"
  - type: textarea
    id: proposal-details
    attributes:
      label: "Proposal Details"
      description: "Please provide the details of your proposal here."
    validations:

    }

    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);
      }
    }

  server_def.set_task_index(0);
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost", ":", port)});

    def is_scalar_sequence_field(field: ModelField) -> bool:
        return field_annotation_is_scalar_sequence(field.field_info.annotation)

    def is_bytes_field(field: ModelField) -> bool:
        return is_bytes_or_nonable_bytes_annotation(field.type_)

    def is_bytes_sequence_field(field: ModelField) -> bool:
        return is_bytes_sequence_annotation(field.type_)

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

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

 * 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);

 * limitations under the License.
 */

package com.google.common.collect;

import com.google.common.annotations.GwtCompatible;
import java.io.Serializable;
import javax.annotation.CheckForNull;

/**
 * A mutable value of type {@code int}, for multisets to use in tracking counts of values.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
final class Count implements Serializable {

    - [Action Required](#action-required)
    - [Other notable changes](#other-notable-changes)
- [v1.7.15](#v1715)
  - [Downloads for v1.7.15](#downloads-for-v1715)
    - [Client Binaries](#client-binaries-1)
    - [Server Binaries](#server-binaries-1)
    - [Node Binaries](#node-binaries-1)
  - [Changelog since v1.7.14](#changelog-since-v1714)
    - [Other notable changes](#other-notable-changes-1)
- [v1.7.14](#v1714)