VCNT V0.B8, V0.B8                          // 0058200e
	VCNT V0.B16, V0.B16                        // 0058204e
	WFE                                        // 5f2003d5
	WFI                                        // 7f2003d5
	YIELD                                      // 3f2003d5
	//TODO FABD F0, F5, F11                    // abd4a07e
	//TODO VFABD V30.S2, V8.S2, V24.S2         // 18d5be2e
	//TODO VFABS V5.S4, V24.S4                 // b8f8a04e

   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

	// is reached and keep reusing the same source string - that
	// should therefore be always resident in the L1 cache - until we
	// have completed the construction of the result.
	// This yields significant speedups (up to +100%) in cases where
	// the result length is large (roughly, over L2 cache size).
	const chunkLimit = 8 * 1024
	chunkMax := n
	if chunkMax > chunkLimit {

      tmp[5 - i] = hex.charAt(c & 0xF);
      c = (char) (c >> 4);
    }
    return String.copyValueOf(tmp);
  }

  // Fast matchers

  /** A matcher for which precomputation will not yield any significant benefit. */
  abstract static class FastMatcher extends CharMatcher {

    @Override
    public final CharMatcher precomputed() {
      return this;
    }

    @Override

   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

		case toSend = <-c.outQueue:
			if len(toSend) == 0 {
				continue
			}
		}
		if len(queue) < maxMergeMessages && queueSize+len(toSend) < writeBufferSize-1024 {
			if len(c.outQueue) == 0 {
				// Yield to allow more messages to fill.
				runtime.Gosched()
			}
			if len(c.outQueue) > 0 {
				queue = append(queue, toSend)
				queueSize += len(toSend)
				continue
			}
		}

      tmp[5 - i] = hex.charAt(c & 0xF);
      c = (char) (c >> 4);
    }
    return String.copyValueOf(tmp);
  }

  // Fast matchers

  /** A matcher for which precomputation will not yield any significant benefit. */
  abstract static class FastMatcher extends CharMatcher {

    @Override
    public final CharMatcher precomputed() {
      return this;
    }

    @Override

                    while (blockingForRefresh.isAlive()
                        && blockingForRefresh.getState() != WAITING) {
                      Thread.yield();
                    }

                    return key + "Reload";
                  });
            }
          };
      LocalCache<String, String> cache = makeLocalCache(builder, loader);

                    while (blockingForRefresh.isAlive()
                        && blockingForRefresh.getState() != WAITING) {
                      Thread.yield();
                    }

                    return key + "Reload";
                  });
            }
          };
      LocalCache<String, String> cache = makeLocalCache(builder, loader);

        using the `tf.load_op_library()` mechanism.
    *   `Dataset.list_files()` now shuffles its output by default.
    *   `Dataset.shuffle(..., seed=tf.constant(0, dtype=tf.int64))` now yields
        the same sequence of elements as `Dataset.shuffle(..., seed=0)`.
    *   Add `num_parallel_reads` argument to `tf.data.TFRecordDataset`.
*   `tf.contrib`: