// refer https://github.com/IBM/sarama/issues/765#issuecomment-254333355
	sconfig.Producer.Retry.Max = 2
	sconfig.Producer.Retry.Backoff = (10 * time.Second)
	sconfig.Producer.Return.Successes = true
	sconfig.Producer.Return.Errors = true
	sconfig.Producer.RequiredAcks = 1
	sconfig.Producer.Timeout = (10 * time.Second)
	sconfig.Net.ReadTimeout = (10 * time.Second)
	sconfig.Net.DialTimeout = (10 * time.Second)

      assertEquals(0, Queues.drain(q, ImmutableList.of(), 1, 10, MILLISECONDS));

      Producer producer = new Producer(q, 1);
      // producing one, will ask for two
      Future<?> producerThread = threadPool.submit(producer);
      producer.beganProducing.await();

      // make sure we time out
      Stopwatch timer = Stopwatch.createStarted();

     * Runs the binary compatibility check against two source trees.
     *
     * The fixture build supports both Java and Kotlin sources.
     *
     * @param v1 sources producer for V1, receiver is the `src/main` directory
     * @param v2 sources producer for V2, receiver is the `src/main` directory
     * @param block convenience block invoked on the result
     * @return the check result
     */
    private

		compressionCodecEnv := target.EnvKafkaProducerCompressionCodec
		if k != config.Default {
			compressionCodecEnv = compressionCodecEnv + config.Default + k
		}
		kafkaArgs.Producer.Compression = env.Get(compressionCodecEnv, kv.Get(target.KafkaCompressionCodec))

		compressionLevelEnv := target.EnvKafkaProducerCompressionLevel
		if k != config.Default {

}

// TF_Graph functions ---------------------------------------------------------

TF_Graph::TF_Graph()
    : graph(tensorflow::OpRegistry::Global()),
      refiner(graph.versions().producer(), graph.op_registry()),
      delete_requested(false),
      parent(nullptr),
      parent_inputs(nullptr) {
  // Tell the shape refiner to also run shape inference on functions.

# NOTE: These are not valid JSON:API resources
# but they are fine for testing requestBody with custom media_type
class Product(BaseModel):
    name: str
    price: float


class Shop(BaseModel):
    name: str


@app.post("/products")
async def create_product(data: Product = Body(media_type=media_type, embed=True)):
    pass  # pragma: no cover


@app.post("/shops")
async def create_shop(

	}

	// Test creating record with nil any field
	product := ProductWithAny{Name: "Product 1"}
	if err := DB.Create(&product).Error; err != nil {
		t.Fatalf("failed to create product with nil any field, got error %v", err)
	}

	// Test updating/saving record with nil any field (should not panic)
	product.Name = "Product 1 (Updated)"
	if err := DB.Save(&product).Error; err != nil {

   * stream.collect(ImmutableListMultimap.toImmutableListMultimap(keyFunction, v -> v))}.
   *
   * @param keyFunction the function used to produce the key for each value
   * @throws NullPointerException if any element of this iterable is {@code null}, or if {@code
   *     keyFunction} produces {@code null} for any key
   * @since 14.0
   */
  @SuppressWarnings("nullness") // Unsafe, but we can't do much about it now.

import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

/**
 * Abstract class representing a request that can be executed to produce a response.
 *
 * @param <T> the type of response produced by this request
 */
public abstract class Request<T extends Response> {
    /**
     * Constructs a new request.
     */
    public Request() {
        // nothing
    }

        A result(Collector<T, A, R> collector, Iterable<T> inputs);
  }

  /**
   * Verifies that the specified expected result is always produced by collecting the specified
   * inputs, regardless of how the elements are divided.
   */
  @SafeVarargs
  @CanIgnoreReturnValue