api(libs.squareup.kotlinPoet)
  testImplementation(libs.assertk)
  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)

  testImplementation(rootProject.libs.junit.jupiter.engine)
}

animalsniffer {
  isIgnoreFailures = true

/**
 * Interface for script engines that can evaluate templates with parameters.
 * This interface provides a contract for different script engine implementations
 * to process template strings with parameter substitution.
 */
public interface ScriptEngine {

    /**
     * Evaluates a template string with the provided parameter map.
     * The template is processed using the script engine's templating mechanism,

    // Search Engine Type Constants
    // ============================================================

    /** Cloud-based search engine type. */
    public static final String FESEN_TYPE_CLOUD = "cloud";

    /** AWS-based search engine type. */
    public static final String FESEN_TYPE_AWS = "aws";

    /** Search engine username configuration key. */

  testImplementation(projects.okhttpTestingSupport)
  testImplementation(rootProject.libs.conscrypt.openjdk)
  testImplementation(rootProject.libs.junit.jupiter.engine)
  testImplementation(rootProject.libs.junit.vintage.engine)

  androidTestImplementation(projects.okhttpTestingSupport) {
    exclude("org.openjsse", "openjsse")
    exclude("org.conscrypt", "conscrypt-openjdk-uber")

### Crear un Engine { #create-an-engine }

Un `engine` de SQLModel (en el fondo, realmente es un `engine` de SQLAlchemy) es lo que **mantiene las conexiones** a la base de datos.

Tendrías **un solo objeto `engine`** para todo tu código para conectar a la misma base de datos.

    /** The expression used to match documents for boosting */
    private String matchExpression;

    /** The script engine type used for expression evaluation */
    private final String scriptType;

    /**
     * Default constructor that creates a DocBoostMatcher with default script type.
     * Uses the default script engine as defined in Constants.DEFAULT_SCRIPT.
     */
    public DocBoostMatcher() {

     * The template is evaluated using the specified script engine with the value and context.
     *
     * @param dataMap the data map to modify
     * @param key the key to store the processed value under
     * @param value the original value to process
     * @param template the template script to evaluate
     * @param scriptType the type of script engine to use
     */

    }

    /**
     * Sets the name of the search engine cluster.
     *
     * @param clusterName the cluster name
     */
    public void setClusterName(final String clusterName) {
        this.clusterName = clusterName;
    }

    /**
     * Gets information about the search engine.
     *
     * @return the engine information

import org.jetbrains.dokka.gradle.DokkaExtension;
import org.jetbrains.dokka.gradle.DokkaPlugin;
import org.jetbrains.dokka.gradle.engine.parameters.DokkaSourceLinkSpec;
import org.jetbrains.dokka.gradle.engine.parameters.DokkaSourceSetSpec;
import org.jetbrains.dokka.gradle.engine.plugins.DokkaHtmlPluginParameters;
import org.jetbrains.dokka.gradle.tasks.DokkaGeneratePublicationTask;

import java.io.File;
import java.net.URI;

        return childUrlSet.isEmpty() ? null : childUrlSet;
    }

    /**
     * Retrieves child URLs for a given document ID from the search engine index.
     * This method queries the search engine for child documents and extracts their URLs.
     *
     * @param searchEngineClient the search engine client to query
     * @param id the parent document ID to find children for