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
    // non-Python) clients. If this API is called again with `enable` set to
    // false, it is safe to keep these flag values as is.
    tensorflow::MarkForCompilationPassFlags* flags =

      iterator.next();
      fail("Expected ConcurrentModificationException");
    } catch (ConcurrentModificationException expected) {
      // success
    }
  }

  /** Trigger the {@code other.size() >= this.size()} case in {@link AbstractSet#removeAll}. */
  @CollectionFeature.Require(SUPPORTS_REMOVE)
  @CollectionSize.Require(absent = ZERO)

   *
   * <p>Currently, this method is invoked while holding a lock. If an implementation of this method
   * blocks, it can prevent this service from changing state. If you need to performing a blocking
   * operation in order to trigger shutdown, consider instead registering a listener and
   * implementing {@code stopping}. Note, however, that {@code stopping} does not run at exactly the
   * same times as {@code triggerShutdown}.
   */

			return
		}
		reqInfo.RLock()
		defer reqInfo.RUnlock()

		entry = internalAudit.ToEntry(w, r, reqClaims, xhttp.GlobalDeploymentID)
		// indicates all requests for this API call are inbound
		entry.Trigger = "incoming"

		for _, filterKey := range filterKeys {
			delete(entry.ReqClaims, filterKey)
			delete(entry.ReqQuery, filterKey)
			delete(entry.ReqHeader, filterKey)
			delete(entry.RespHeader, filterKey)
		}

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

    this.lowerEndpoint = lowerEndpoint;
    this.lowerBoundType = checkNotNull(lowerBoundType);
    this.upperEndpoint = upperEndpoint;
    this.upperBoundType = checkNotNull(upperBoundType);

    // Trigger any exception that the comparator would throw for the endpoints.
    /*
     * uncheckedCastNullableTToT is safe as long as the callers are careful to pass a "real" T

        run: |
          echo 'KERNEL=="kvm", GROUP="kvm", MODE="0666", OPTIONS+="static_node=kvm"' | sudo tee /etc/udev/rules.d/99-kvm4all.rules
          sudo udevadm control --reload-rules
          sudo udevadm trigger --name-match=kvm

      - name: Setup Gradle
        uses: gradle/actions/setup-gradle@v3

      - name: Gradle cache
        run: ./gradlew -PandroidBuild=true :okhttp-android:test

  }

  private static Set<Feature<?>> computeKeySetFeatures(Set<Feature<?>> mapFeatures) {
    Set<Feature<?>> keySetFeatures = computeCommonDerivedCollectionFeatures(mapFeatures);

    // TODO(lowasser): make this trigger only if the map is a submap
    // currently, the KeySetGenerator won't work properly for a subset of a keyset of a submap
    keySetFeatures.add(CollectionFeature.SUBSET_VIEW);

 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *

    this.lowerEndpoint = lowerEndpoint;
    this.lowerBoundType = checkNotNull(lowerBoundType);
    this.upperEndpoint = upperEndpoint;
    this.upperBoundType = checkNotNull(upperBoundType);

    // Trigger any exception that the comparator would throw for the endpoints.
    /*
     * uncheckedCastNullableTToT is safe as long as the callers are careful to pass a "real" T