*
   * {@snippet :
   * Optional<Integer> optionalInt = getSomeOptionalInt();
   * Number value = optionalInt.or(0.5); // error
   *
   * FluentIterable<? extends Number> numbers = getSomeNumbers();
   * Optional<? extends Number> first = numbers.first();
   * Number value = first.or(0.5); // error
   * }
   *
   * <p>As a workaround, it is always safe to cast an {@code Optional<? extends T>} to {@code

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

For that, we update the Pydantic model `TokenData` with a new property `scopes`.

func printStartupMessage(apiEndpoints []string, err error) {
	banner := strings.Repeat("-", len(MinioBannerName))
	if globalIsDistErasure {
		logger.Startup(color.Bold(banner))
	}
	logger.Startup(color.Bold(MinioBannerName))
	if err != nil {
		if globalConsoleSys != nil {
			globalConsoleSys.Send(GlobalContext, fmt.Sprintf("Server startup failed with '%v', some features may be missing", err))
		}
	}

	exit_1
fi

err_minio2=$(./mc stat --no-list minio2/newbucket/xxx --json | jq -r .error.cause.message)
if [ $? -ne 0 ]; then
	echo "expecting object to be missing. exiting.."
	exit_1
fi

if [ "${err_minio2}" != "Object does not exist" ]; then
	echo "expected to see Object does not exist error, exiting..."
	exit_1
fi

./mc cp README.md minio2/newbucket/

sleep 5

     * @param item the SuggestItem containing the data to be indexed
     * @return a string representing the bulk line for OpenSearch indexing
     * @throws SuggesterException if an I/O error occurs during the creation of the bulk line
     */
    public static String createBulkLine(final String index, final String type, final SuggestItem item) {

    *   Stop constructing `Status` objects from `tensorflow::error::Code`.
    *   One MUST NOT access `tensorflow::errors::Code` fields. Accessing
        `tensorflow::error::Code` fields is fine.
        *   Use the constructors such as `tensorflow::errors:InvalidArgument` to
            create status using an error code without accessing it.
        *   Use the free functions such as

common:linux --copt="-Wno-deprecated-declarations"
common:linux --copt="-Wno-ignored-attributes"
common:linux --copt="-Wno-array-bounds"

# Add unused-result as an error on Linux.
common:linux --copt="-Wunused-result"
common:linux --copt="-Werror=unused-result"
# Add switch as an error on Linux.
common:linux --copt="-Wswitch"
common:linux --copt="-Werror=switch"

# Linux ARM64 specific options

 *   <li>comparing each pair of objects from different equality groups returns false
 *   <li>the hash codes of any two equal objects are equal
 * </ul>
 *
 * <p>When a test fails, the error message labels the objects involved in the failed comparison as
 * follows:
 *
 * <ul>
 *   <li>"{@code [group }<i>i</i>{@code , item }<i>j</i>{@code ]}" refers to the

   * result.
   *
   * @return the next element if there was one. If {@code endOfData} was called during execution,
   *     the return value will be ignored.
   * @throws RuntimeException if any unrecoverable error happens. This exception will propagate
   *     outward to the {@code hasNext()}, {@code next()}, or {@code peek()} invocation that invoked
   *     this method. Any further attempts to use the iterator will result in an {@link

        @DisplayName("should correctly identify disconnected states")
        void shouldIdentifyDisconnectedStates() {
            // States: 0=not connected, 1=connecting, 2=run connected, 3=connected,
            // 4=error, 5=disconnecting, 6=disconnected/invalid
            int[] disconnectedStates = { 0, 4, 5, 6 };
            int[] connectedStates = { 1, 2, 3 };

            for (int state : disconnectedStates) {