*     in the input collection to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one
   *     value in the input collection
   * @throws NullPointerException if any element of {@code values} is {@code null}, or if {@code
   *     keyFunction} produces {@code null} for any value
   */
  @CanIgnoreReturnValue
  public static <K, V> ImmutableMap<K, V> uniqueIndex(

   *     in the input collection to that value
   * @throws IllegalArgumentException if {@code keyFunction} produces the same key for more than one
   *     value in the input collection
   * @throws NullPointerException if any element of {@code values} is {@code null}, or if {@code
   *     keyFunction} produces {@code null} for any value
   */
  @CanIgnoreReturnValue
  public static <K, V> ImmutableMap<K, V> uniqueIndex(

// combined status.
TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx,
                                                TF_Status* status);

// This function will block till the operation that produces `h` has
// completed. This is only valid on local TFE_TensorHandles. The pointer
// returned will be on the device in which the TFE_TensorHandle resides (so e.g.

     * AbstractFuture.executeListener to do so, since that method would have the ability to continue
     * to execute other listeners.
     *
     * What about RuntimeException? If there is a bug in set()/setValue() that produces one, it will
     * propagate, too, but only as far as AbstractFuture.executeListener, which will catch and log
     * it.
     */
    setResult(transformResult);
  }

        // The third parameter is the size of the output string in characters
        // size = number of hex characters to output
        // Each byte produces 2 hex characters

        // Test basic conversion (srcIndex is ignored in the implementation)
        byte[] data1 = { 0x00, 0x01, 0x02, 0x03 };
        assertEquals("00", Hexdump.toHexString(data1, 0, 2)); // 2 chars = 1 byte

 * }
 * for (String firstName : multimap.keySet()) {
 *   List<String> lastNames = multimap.get(firstName);
 *   out.println(firstName + ": " + lastNames);
 * }
 * }
 *
 * ... produces output such as:
 *
 * {@snippet :
 * Zachary: [Taylor]
 * John: [Adams, Adams, Tyler, Kennedy]  // Remember, Quincy!
 * George: [Washington, Bush, Bush]

   *
   * - stored permits (if available)
   *
   * - fresh permits (for any remaining permits)
   *
   * How this works is best explained with an example:
   *
   * For a RateLimiter that produces 1 token per second, every second that goes by with the
   * RateLimiter being unused, we increase storedPermits by 1. Say we leave the RateLimiter unused

		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_Status* status);

// In this code:
//   TF_Output producer = TF_OperationInput(consumer);
// There is an edge from producer.oper's output (given by
// producer.index) to consumer.oper's input (given by consumer.index).
TF_CAPI_EXPORT extern TF_Output TF_OperationInput(TF_Input oper_in);

 * splitter can extract adjacent substrings of a given {@linkplain #fixedLength fixed length}.
 *
 * <p>For example, this expression:
 *
 * {@snippet :
 * Splitter.on(',').split("foo,bar,qux")
 * }
 *
 * ... produces an {@code Iterable} containing {@code "foo"}, {@code "bar"} and {@code "qux"}, in
 * that order.
 *
 * <p>By default, {@code Splitter}'s behavior is simplistic and unassuming. The following
 * expression:
 *