import java.util.AbstractSet;
import java.util.Iterator;
import java.util.Map;
import java.util.Map.Entry;
import javax.annotation.CheckForNull;

/**
 * A class to represent the set of edges connecting an (implicit) origin node to a target node.
 *
 * <p>The {@link #outEdgeToNode} map allows this class to work on networks with parallel edges. See

      &def));
  return def.SerializeAsString();
}

void TestFunctionWithPackedInput(const bool remote) {
  tensorflow::ServerDef server_def = GetServerDef(3);

  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);
  std::unique_ptr<tensorflow::GrpcServer> worker_server1;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

    // make sure that no exception is thrown by flushQuietly when the mock does
    // throw an exception on flush.
    setupFlushable(true);
    Flushables.flushQuietly(mockFlushable);
  }

  // Set up a flushable to expect to be flushed, and optionally to
  // throw an exception.
  private void setupFlushable(boolean shouldThrowOnFlush) throws IOException {
    mockFlushable = mock(Flushable.class);

...and then Swagger UI won't show the syntax highlighting anymore:

<img src="/img/tutorial/extending-openapi/image03.png">

## Change the Theme

The same way you could set the syntax highlighting theme with the key `"syntaxHighlight.theme"` (notice that it has a dot in the middle):

{* ../../docs_src/configure_swagger_ui/tutorial002.py hl[3] *}

# Usage: Go to
# https://github.com/tensorflow/tensorflow/actions/workflows/release-branch-cherrypick.yml
# and click "Run Workflow." Leave "Use Workflow From" set to "master", then
# input the branch name and paste the cherry-pick commit and click Run. A PR
# will be created.

name: Release Branch Cherrypick
on:
  workflow_dispatch:
    inputs:

// if one of the args do not meet the required conditions.
// Special conditions required by MinIO server are as below
//   - delimiter if set should be equal to '/', otherwise the request is rejected.
//   - marker if set should have a common prefix with 'prefix' param, otherwise
//     the request is rejected.
func validateListObjectsArgs(prefix, marker, delimiter, encodingType string, maxKeys int) APIErrorCode {

// This function may return negative numbers.
// If parsing fails or an integer overflow occurs, err will be set.
func (p *parser) parseNumeric(b []byte) int64 {
	// Check for base-256 (binary) format first.
	// If the first bit is set, then all following bits constitute a two's
	// complement encoded number in big-endian byte order.
	if len(b) > 0 && b[0]&0x80 != 0 {

Besides the above new features, support for Azure Virtual Machine Scale Sets (VMSS) and Cluster-Autoscaler is now stable and considered GA:

- Azure virtual machine scale sets (VMSS) allow you to create and manage identical load balanced VMs that automatically increase or decrease based on demand or a set schedule.

  public static int frequency(Iterable<?> iterable, @CheckForNull Object element) {
    if ((iterable instanceof Multiset)) {
      return ((Multiset<?>) iterable).count(element);
    } else if ((iterable instanceof Set)) {
      return ((Set<?>) iterable).contains(element) ? 1 : 0;
    }
    return Iterators.frequency(iterable.iterator(), element);
  }

  /**

  // compatible with both the TokenReview and token. An identifier is any
  // identifier in the intersection of the TokenReviewSpec audiences and the
  // token's audiences. A client of the TokenReview API that sets the
  // spec.audiences field should validate that a compatible audience identifier
  // is returned in the status.audiences field to ensure that the TokenReview
  // server is audience aware. If a TokenReview returns an empty