*/

package com.google.common.cache;

import static com.google.common.base.MoreObjects.firstNonNull;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.base.Preconditions.checkState;

import com.google.common.base.Equivalence;
import com.google.common.base.Ticker;
import com.google.common.cache.AbstractCache.StatsCounter;
import com.google.common.collect.ImmutableMap;

 * under the License.
 */
package org.apache.maven.api.services;

import java.io.Serial;

import org.apache.maven.api.annotations.Experimental;

/**
 * Base class for all maven exceptions.
 *
 * @since 4.0.0
 */
@Experimental
public class MavenException extends RuntimeException {

    @Serial
    private static final long serialVersionUID = 9027638326336093132L;

 */

package com.google.common.collect.testing.google;

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.SetMultimap;

/**
 * A generator for {@code SetMultimap} implementations based on test data.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
public interface TestSetMultimapGenerator<K, V>

 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>
 *   <li>Concurrent crawling of multiple data configurations</li>
 *   <li>Thread pool management for crawler execution</li>
 *   <li>Session-based crawling with cleanup operations</li>
 *   <li>Old document deletion after successful crawling</li>
 *   <li>Crawling execution monitoring and timing</li>
 * </ul>
 */
public class DataIndexHelper {

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.base;

import static com.google.common.base.StandardSystemProperty.JAVA_COMPILER;
import static com.google.common.base.StandardSystemProperty.JAVA_EXT_DIRS;
import static com.google.common.truth.Truth.assertWithMessage;

import com.google.common.annotations.GwtIncompatible;

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder`

Imaginemos que tienes una base de datos `fake_db` que solo recibe datos compatibles con JSON.

Por ejemplo, no recibe objetos `datetime`, ya que no son compatibles con JSON.

	# endpoint: ENDPOINT
	# credentials:
	#   accessKey: ACCESS-KEY
	#   secretKey: SECRET-KEY
	#   sessionToken: SESSION-TOKEN # Available when rotating credentials are used

  # optional flags based filtering criteria
  # for all source objects
  flags:
	filter:
	  newerThan: "7d" # match objects newer than this value (e.g. 7d10h31s)
	  olderThan: "7d" # match objects older than this value (e.g. 7d10h31s)

## Submitting PRs

1. **Title and Summary**:
   - Use a scannable title: `[Subsystem] Action Description #Issue` (e.g., `[IAM] Add role-based access control #567`).
   - Include context in the summary: what changed, why, and any issue references.
   - Use `[WIP]` for in-progress PRs to avoid premature merging or choose GitHub draft PRs.

2. **Commits**:

Fess is a very powerful and easily deployable Enterprise Search Server. You can quickly install and run Fess on any platform where you can run the Java Runtime Environment. Fess is provided under the [Apache License 2.0](LICENSE).

Fess is based on [OpenSearch](https://github.com/opensearch-project/OpenSearch), but knowledge/experience about OpenSearch is _not_ required. Fess provides an easy to use Administration GUI to configure the system via your browser.

 * This class provides methods for computing MACs using various Kerberos encryption types including
 * ARCFOUR-HMAC-MD5 and AES-based HMAC algorithms.
 */
public class PacMac {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private PacMac() {
        // Utility class
    }

    /**