"CCR",
            "CRUD",
            "Client",
            "Cluster Coordination",
            "Discovery-Plugins",
            "Distributed",
            "EQL",
            "Engine",
            "FIPS",
            "Features/CAT APIs",
            "Features/Data streams",
            "Features/Features",
            "Features/ILM+SLM",
            "Features/Indices APIs",

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;

### Создание Engine { #create-an-engine }

Объект `engine` в SQLModel (под капотом это `engine` из SQLAlchemy) **удерживает соединения** с базой данных.

У вас должен быть **один объект `engine`** для всей кодовой базы, чтобы подключаться к одной и той же базе данных.

### Créer un engine { #create-an-engine }

Un `engine` SQLModel (en dessous c'est en fait un `engine` SQLAlchemy) est ce qui **détient les connexions** à la base de données.

Vous devez avoir **un seul objet `engine`** pour tout votre code afin de se connecter à la même base.

     * 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
     */

### Create an Engine { #create-an-engine }

A SQLModel `engine` (underneath it's actually a SQLAlchemy `engine`) is what **holds the connections** to the database.

You would have **one single `engine` object** for all your code to connect to the same database.

### Eine Engine erstellen { #create-an-engine }

Eine SQLModel-`engine` (darunter ist es tatsächlich eine SQLAlchemy-`engine`) ist das, was die **Verbindungen** zur Datenbank hält.

Sie hätten **ein einziges `engine`-Objekt** für Ihren gesamten Code, um sich mit derselben Datenbank zu verbinden.

  api(libs.square.kotlin.poet)
  testImplementation(libs.assertk)
  testImplementation(libs.junit.jupiter.api)
  testImplementation(libs.junit.jupiter.params)

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

animalsniffer {
  isIgnoreFailures = true

### 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.

jetbrains-annotations = { module = "org.jetbrains:annotations", version.ref = "jetbrains-annotations" }
junit-jupiter-api = { module = "org.junit.jupiter:junit-jupiter-api", version.ref = "org-junit-jupiter" }
junit-jupiter-engine = { module = "org.junit.jupiter:junit-jupiter-engine", version.ref = "org-junit-jupiter" }
junit-jupiter-params = { module = "org.junit.jupiter:junit-jupiter-params", version.ref = "org-junit-jupiter" }