import javax.net.ssl.SSLContext;
import javax.net.ssl.TrustManagerFactory;
import okhttp3.mockwebserver.Dispatcher;
import okhttp3.mockwebserver.MockResponse;
import okhttp3.mockwebserver.MockWebServer;
import okhttp3.mockwebserver.RecordedRequest;
import okio.Buffer;
import okio.Okio;

public class SampleServer extends Dispatcher {
  private final SSLContext sslContext;
  private final String root;
  private final int port;

    // Now we find the task in our Executor and explicitly activate it.
    List<Runnable> tasks = executor.getTasks();
    assertEquals("One event dispatch task should be queued.", 1, tasks.size());

    tasks.get(0).run();

    assertEquals("One event should be delivered.", 1, events.size());
    assertEquals("Correct string should be delivered.", EVENT, events.get(0));

import java.lang.reflect.TypeVariable;
import java.lang.reflect.WildcardType;
import java.util.Set;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Based on what a {@link Type} is, dispatch it to the corresponding {@code visit*} method. By
 * default, no recursion is done for type arguments or type bounds. But subclasses can opt to do

public abstract class mockwebserver3/Dispatcher {
	public fun <init> ()V
	public abstract fun dispatch (Lmockwebserver3/RecordedRequest;)Lmockwebserver3/MockResponse;
	public fun peek ()Lmockwebserver3/MockResponse;
	public fun shutdown ()V
}

public final class mockwebserver3/MockResponse {
	public static final field Companion Lmockwebserver3/MockResponse$Companion;
	public fun <init> ()V
	public fun <init> (I)V
	public fun <init> (ILokhttp3/Headers;)V

# limitations under the License.
# ==============================================================================

name: Upload SIG Build docker containers modified for release branches

on:
  workflow_dispatch:
  push:
    paths:
      - '.github/workflows/sigbuild-docker-branch.yml'
      - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
      - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md'
    branches:

## Dispatch

For synchronous calls, you bring your own thread and are responsible for managing how many simultaneous requests you make. Too many simultaneous connections wastes resources; too few harms latency.

# 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:
      # We use this instead of the "run on branch" argument because GitHub looks
      # on that branch for a workflow.yml file, and we'd have to cherry-pick
      # this file into those branches.

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    steps:

            when (explicitReceiverKind) {
                ExplicitReceiverKind.DISPATCH_RECEIVER -> {
                    checkWithAttachment(
                        dispatchReceiver != null,
                        { "Dispatch receiver must be not null if explicitReceiverKind is DISPATCH_RECEIVER" }
                    ) {
                        withPsiEntry("explicitReceiverPsi", explicitReceiverPsi)

  /**
   * The dispatcher used to respond to HTTP requests. The default dispatcher is a [QueueDispatcher],
   * which serves a fixed sequence of responses from a [queue][enqueue].
   *
   * Other dispatchers can be configured. They can vary the response based on timing or the content
   * of the request.
   */
  var dispatcher: Dispatcher = QueueDispatcher()

  private var portField: Int = -1