// Load latest rebalance status
	meta := &rebalanceMeta{}
	err = meta.load(ctx, z.serverPools[0])
	if err != nil {
		return r, err
	}

	// Compute disk usage percentage
	si := z.StorageInfo(ctx, true)
	diskStats := make([]struct {
		AvailableSpace uint64
		TotalSpace     uint64
	}, len(z.serverPools))
	for _, disk := range si.Disks {
		// Ignore invalid.

            buffer[i] = 0;
    }

    /**
     * Continues an MD4 message digest using the input byte.
     */
    public void engineUpdate (byte b) {
        // compute number of bytes still unhashed; ie. present in buffer
        int i = (int)(count % BLOCK_LENGTH);
        count++;                                        // update number of bytes
        buffer[i] = b;

	# Iterate down a (possible) chain of symlinks
	while [ -L "$TARGET_FILE" ]; do
		TARGET_FILE=$(env readlink $TARGET_FILE)
		cd $(dirname $TARGET_FILE)
		TARGET_FILE=$(basename $TARGET_FILE)
	done

	# Compute the canonicalized name by finding the physical path
	# for the directory we're in and appending the target file.
	PHYS_DIR=$(pwd -P)
	RESULT=$PHYS_DIR/$TARGET_FILE
	echo $RESULT
}

## FIXME:

    long c = seedA;
    seedA += part2;
    seedA += part3;
    seedB += rotateRight(seedA, 23);
    output[0] = seedA + part4;
    output[1] = seedB + c;
  }

  /*
   * Compute an 8-byte hash of a byte array of length greater than 64 bytes.
   */
  private static long fullFingerprint(byte[] bytes, int offset, int length) {
    // For lengths over 64 bytes we hash the end first, and then as we

      control_output_names_vec.push_back(string(control_output_names[i]));
    }
  }

  // Compute body nodes.
  std::vector<const Node*> body_nodes;
  status->status = tensorflow::ComputeBodyNodes(
      fn_body, fn_name, num_opers, opers, input_nodes, &body_nodes);
  if (TF_GetCode(status) != TF_OK) return nullptr;

  // Compute body nodes.
  std::vector<const Node*> control_output_nodes;

  @Param({"MURMUR3_32", "MURMUR3_128", "SHA1"})
  HashFunctionEnum hashFunctionEnum;

  private String[] strings;

  static final int SAMPLES = 0x100;
  static final int SAMPLE_MASK = 0xFF;

  /**
   * Compute arrays of valid unicode text, and store it in 3 forms: byte arrays, Strings, and
   * StringBuilders (in a CharSequence[] to make it a little harder for the JVM).
   */
  @BeforeExperiment
  void setUp() {

  @Param({"MURMUR3_32", "MURMUR3_128", "SHA1"})
  HashFunctionEnum hashFunctionEnum;

  private String[] strings;

  static final int SAMPLES = 0x100;
  static final int SAMPLE_MASK = 0xFF;

  /**
   * Compute arrays of valid unicode text, and store it in 3 forms: byte arrays, Strings, and
   * StringBuilders (in a CharSequence[] to make it a little harder for the JVM).
   */
  @BeforeExperiment
  void setUp() {

        this.id = id;
        this.transitive = transitive;
    }

    /**
     * The {@code id} uniquely represents a value for this extensible enum.
     * This id should be used to compute the equality and hash code for the instance.
     *
     * @return the id
     */
    @Nonnull
    public String id() {
        return id;
    }

    public boolean isTransitive() {

import java.nio.ByteBuffer;
import java.nio.ByteOrder;

/**
 * Abstract {@link Hasher} that handles converting primitives to bytes using a scratch {@code
 * ByteBuffer} and streams all bytes to a sink to compute the hash.
 *
 * @author Colin Decker
 */
@ElementTypesAreNonnullByDefault
abstract class AbstractByteHasher extends AbstractHasher {

build:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current