*
   * <p>This class is accessible but not supported in GWT as it references {@link
   * PermittedMetaException}.
   */
  protected final class MultiExceptionListIterator implements ListIterator<E> {
    // TODO: track seen elements when order isn't guaranteed
    // TODO: verify contents afterward
    // TODO: something shiny and new instead of Stack
    // TODO: test whether null is supported (create a Feature)
    /**

 * }
 *
 * <p>Graph algorithms that need additional capabilities (accessing both predecessors and
 * successors, iterating over the edges, etc.) should declare their input to be of a type that
 * provides those capabilities, such as {@link Graph}, {@link ValueGraph}, or {@link Network}.
 *
 * <h3>Additional documentation</h3>
 *
 * <p>See the Guava User Guide for the {@code common.graph} package (<a

 * }
 *
 * <p>Graph algorithms that need additional capabilities (accessing both predecessors and
 * successors, iterating over the edges, etc.) should declare their input to be of a type that
 * provides those capabilities, such as {@link Graph}, {@link ValueGraph}, or {@link Network}.
 *
 * <h3>Additional documentation</h3>
 *
 * <p>See the Guava User Guide for the {@code common.graph} package (<a

     */
    private int countUniqueBytes(byte[] data) {
        boolean[] seen = new boolean[256];
        int count = 0;

        for (byte b : data) {
            int index = b & 0xFF;
            if (!seen[index]) {
                seen[index] = true;
                count++;
            }
        }

        return count;
    }

 * multiplexing requests. It encapsulates a stream and some protocol
 * knowledge (provided by a concrete subclass) so that connecting,
 * disconnecting, sending, and receiving can be syncronized
 * properly. Apparatus is provided to send and receive requests
 * concurrently.
 */

public abstract class Transport implements Runnable {

    /**
     * Default constructor for Transport.
     */
    public Transport() {

                                                           TF_DeleteStatus);

  TF_Operation* feed = Placeholder(func_graph.get(), s.get());
  TF_Operation* neg = Neg(feed, func_graph.get(), s.get());

  TF_Output inputs[] = {{feed, 0}};
  TF_Output outputs[] = {{neg, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name, append_hash, -1,

#
# This property uses classification names of classificationDefinitionMap.
# The table name '$$ALL$$' means all tables are target.
# The table names and column names are treated as case insensitive.
#
# You don't need specify here about table classifications.
# Because table classifications are auto-deployed by relation information.
#
# Specification:
# map: {
#     [table-name or $$ALL$$] = map:{

### 2. Run distributed MinIO

To start a distributed MinIO instance, you just need to pass drive locations as parameters to the minio server command. Then, you’ll need to run the same command on all the participating nodes.

**NOTE:**

At any point in time you can switch from `MINIO_KMS_SECRET_KEY` to a full KMS
deployment. You just need to import the generated key into KES - for example via
the KES CLI once you have successfully setup KES:

```sh
kes key create my-minio-key OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw=
```

- For instructions on setting up KES, see the [KES Getting Started guide](https://github.com/minio/kes/wiki/Getting-Started)

     *
     * @param config the configuration to use
     * @param fid the file ID of the named pipe
     * @param data the data buffer to send
     * @param off the offset in the data buffer
     * @param len the length of data to send
     */
    public TransTransactNamedPipe(final Configuration config, final int fid, final byte[] data, final int off, final int len) {