(let ((start (point)))
            (forward-line -1)
            (if (search-forward " -> {" start t) t nil))))

      (defun my/trailing-paren-p ()
        "Returns true if point is a training paren and semicolon"
        (save-excursion
          (end-of-line)
          (let ((endpoint (point)))
            (beginning-of-line)
            (if (re-search-forward "[ ]*);$" endpoint t) t nil))))

table-cell !important;\n}\n\n.d-flex {\n  display: -ms-flexbox !important;\n  display: flex !important;\n}\n\n.d-inline-flex {\n  display: -ms-inline-flexbox !important;\n  display: inline-flex !important;\n}\n\n@media (min-width: 576px) {\n  .d-sm-none {\n    display: none !important;\n  }\n  .d-sm-inline {\n    display: inline !important;\n  }\n  .d-sm-inline-block {\n    display: inline-block !important;\n  }\n  .d-sm-block {\n    display: block !important;\n  }\n  .d-sm-table {\n    display: table !important;\n...

      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):
    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of
    # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes,
    # but this also hurts the performance. Let users decide what they want.

### Criar um Engine { #create-an-engine }
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

Você teria **um único objeto `engine`** para todo o seu código se conectar ao mesmo banco de dados.

### 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.

                packageName = annotation.getMemberValue("pn")?.stringValue ?: "",
                extraInt = annotation.getMemberValue("xi")?.intValue ?: 0
            )
        }

    private
    inline fun <reified T : Any> CtClass.ctAnnotation(): Annotation? =
        getAnnotation(T::class.java)
            ?.takeIf { Proxy.isProxyClass(it::class.java) }
            ?.let { Proxy.getInvocationHandler(it) as? AnnotationImpl }

    public void close() {
        scriptCache.invalidateAll();
        scriptCache.cleanUp();
    }

    /**
     * Returns the name identifier for this script engine.
     *
     * @return "groovy" - the identifier used to register and retrieve this engine
     */
    @Override
    protected String getName() {
        return "groovy";
    }

    /**

### 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.

  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