*
 * @author Zoe Piepmeier
 * @since 16.0
 */
@Beta
public final class HashingOutputStream extends FilterOutputStream {
  private final Hasher hasher;

  /**
   * Creates an output stream that hashes using the given {@link HashFunction}, and forwards all
   * data written to it to the underlying {@link OutputStream}.
   *
   * <p>The {@link OutputStream} should not be written to before or after the hand-off.
   */

 *
 * @author higa
 */
public abstract class SAXParserUtil {

    /**
     * Do not instantiate.
     */
    protected SAXParserUtil() {
    }

    /**
     * Parses the content of the specified {@link InputSource} as XML using the specified {@link DefaultHandler}.
     *
     * @param parser
     *            The {@link SAXParser} to use. Must not be {@literal null}.

 * using the information provided in an {@link InvokerRequest}. This interface is central
 * to the construction and invocation of Maven commands and builds, and it fully parses arguments.
 *
 * <p>The Invoker is designed to be flexible, allowing for different implementations
 * that can handle various types of {@link InvokerRequest InvokerRequests}. It also implements

## Dependencias con parámetros

Todas las dependencias que hemos visto son una función o clase fija.

Pero podría haber casos en los que quieras poder establecer parámetros en la dependencia, sin tener que declarar muchas funciones o clases diferentes.

Imaginemos que queremos tener una dependencia que revise si el parámetro de query `q` contiene algún contenido fijo.

Pero queremos poder parametrizar ese contenido fijo.

## Una *instance* "callable"

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)

    public String link;
    /** Path relative to tree from which this referral was thrown */
    public String path; // Path relative to tree from which this referral was thrown
    /** Whether to resolve hashes in the path */
    public boolean resolveHashes;
    /** Expiration time for this referral entry */
    public long expiration;

    /** The next DFS referral in the chain */
    DfsReferral next;

 *
 * @author Zoe Piepmeier
 * @since 16.0
 */
@Beta
public final class HashingOutputStream extends FilterOutputStream {
  private final Hasher hasher;

  /**
   * Creates an output stream that hashes using the given {@link HashFunction}, and forwards all
   * data written to it to the underlying {@link OutputStream}.
   *
   * <p>The {@link OutputStream} should not be written to before or after the hand-off.
   */

 *
 * @author Qian Huang
 * @since 16.0
 */
@Beta
public final class HashingInputStream extends FilterInputStream {
  private final Hasher hasher;

  /**
   * Creates an input stream that hashes using the given {@link HashFunction} and delegates all data
   * read from it to the underlying {@link InputStream}.
   *
   * <p>The {@link InputStream} should not be read from before or after the hand-off.
   */

		err    error
		// Flag indicating whether the test is expected to pass or not.
		shouldPass bool
	}{
		// Test cases with invalid bucket names ( Test number 1-4 ).
		{".test", "", ObjectInfo{}, BucketNameInvalid{Bucket: ".test"}, false},
		{"---", "", ObjectInfo{}, BucketNameInvalid{Bucket: "---"}, false},
		{"ad", "", ObjectInfo{}, BucketNameInvalid{Bucket: "ad"}, false},
		// Test cases with valid but non-existing bucket names (Test number 5-6).