* safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   *
   * <p>This method is not type-safe, as it may be called on elements that are not mutually
   * comparable.
   *
   * @throws ClassCastException if the elements are not mutually comparable
   * @throws NullPointerException if any of {@code elements} is null
   */

            directly.
            """
        ),
    ] = None,
    *,
    use_cache: Annotated[
        bool,
        Doc(
            """
            By default, after a dependency is called the first time in a request, if
            the dependency is declared again for the rest of the request (for example
            if the dependency is needed by several dependencies), the value will be

   * @param frqReference a phantom reference to the FinalizableReferenceQueue, which will be queued
   *     either when the FinalizableReferenceQueue is no longer referenced anywhere, or when its
   *     close() method is called.
   */
  public static void startFinalizer(
      Class<?> finalizableReferenceClass,
      ReferenceQueue<Object> queue,
      PhantomReference<Object> frqReference) {
    /*

	// since the `objectLayer==nil`  check is performed before any other checks inside the handlers.
	// The only aim is to generate an HTTP request in a way that the relevant/registered end point is evoked/called.

	nilBucket := "dummy-bucket"
	nilObject := "dummy-object"
	nilReq, err := newTestSignedRequestV4(http.MethodHead, getGetObjectURL("", nilBucket, nilObject),
		0, nil, "", "", nil)
	if err != nil {

  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 =
        tensorflow::GetMarkForCompilationPassFlags();

        call.cancel()
      }
    }
  }

  /**
   * Promotes eligible calls from [readyAsyncCalls] to [runningAsyncCalls] and runs them on the
   * executor service. Must not be called with synchronization because executing calls can call
   * into user code.
   *
   * @return true if the dispatcher is currently running calls.
   */
  private fun promoteAndExecute(): Boolean {

It was found that the directory staging committer was the fastest among the three, S3A connector should be configured with the following parameters for optimal results:

```

      RunnableExecutorPair oldHead;
      do {
        oldHead = head;
        if (oldHead == null) {
          // If runnables == null then execute() has been called so we should just execute our
          // listener immediately.
          newHead.execute();
          return;
        }
        // Try to make newHead the new head of the stack at runnables.

    /**
     * This static method registers the SMB URL protocol handler which is
     * required to use SMB URLs with the <tt>java.net.URL</tt> class. If this
     * method is not called before attempting to create an SMB URL with the
     * URL class the following exception will occur:
     * <blockquote>
     * 
     * <pre>
     * Exception MalformedURLException: unknown protocol: smb

<!-- 
  -- Note: this file contains a generated diagram. Use `./gradlew :architectureDoc` to generate 
  -->

# Gradle platform architecture

Gradle is arranged into coarse-grained components called "architecture modules" and "platforms".
See [ADR4](standards/0004-use-a-platform-architecture.md) for a definition of these terms.

The diagram below shows the current set of architecture modules and platforms: