*   <li>Appending alphanumeric characters (0-9, A-Z, a-z) to the buffer.</li>
 *   <li>Appending symbol characters (!-/, :-@, [-`, {-~) to the buffer.</li>
 *   <li>Optionally removing duplicate terms based on a flag.</li>
 *   <li>Limiting the maximum size of alphanumeric and symbol terms.</li>
 * </ul>
 *
 * <p>The {@link TextNormalizeContext} class provides a fluent API to configure the text

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.app.service.UserService;
import org.codelibs.fess.app.web.base.FessSearchAction;
import org.codelibs.fess.app.web.base.login.LocalUserCredential;
import org.codelibs.fess.app.web.login.LoginAction;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.HtmlResponse;

 * the License.
 */

package com.google.common.eventbus;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.base.MoreObjects;

/**
 * Wraps an event that was posted, but which had no subscribers and thus could not be delivered.
 *

          signoff: true
          sign-commits: true
          labels: |
            in:building-gradle
            @dev-productivity
          body: |
            This PR updates the test buckets based on the latest test class data.

Poder usar funciones asíncronas en tus tests puede ser útil, por ejemplo, cuando consultas tu base de datos de forma asíncrona. Imagina que quieres probar el envío de requests a tu aplicación FastAPI y luego verificar que tu backend escribió exitosamente los datos correctos en la base de datos, mientras usas un paquete de base de datos asíncrono.

Veamos cómo podemos hacer que esto funcione.

## pytest.mark.anyio { #pytest-mark-anyio }

 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Predicate;
import com.google.common.base.VerifyException;
import com.google.common.collect.Ordering.IncomparableValueException;

## Date

2024-02-07

## Context

The Gradle code base is essentially a large monolith, without strong internal boundaries.
This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision

Organize the Gradle code base into a set of coarse-grained "architecture modules".

import java.util.Set;
import java.util.logging.Logger;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
import org.jspecify.annotations.Nullable;

/**
 * Creates, based on your criteria, a JUnit test suite that exhaustively tests the object generated
 * by a G, selecting appropriate tests by matching them against specified features.
 *

map:{
    # base package of generated classes
    ; basePackage = org.codelibs.fess.opensearch

    # base path to JSON resource, URL or relative path
    ; basePath = ../src/main/config/es

    # settings for indexes
    ; indexMap = map:{
        # Index: fess_user
        ; fess_user.group = map:{
            ; package = user
            ; esclientDiFile = esclient.xml
            ; esfluteDiFile = esflute_user.xml
        }

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

package com.google.common.base;

import com.google.common.annotations.GwtCompatible;
import org.jspecify.annotations.Nullable;

/**
 * Legacy version of {@link java.util.function.Function java.util.function.Function}.
 *