* JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).

 * It coordinates with DictionaryCreator instances to handle different
 * dictionary types and manages file synchronization through ConfigSync.
 *
 */
public class DictionaryManager {
    private static final Logger logger = LogManager.getLogger(DictionaryManager.class);

    /** List of dictionary creators for handling different dictionary types */
    protected List<DictionaryCreator> creatorList = new ArrayList<>();

    /**

The same would happen if you had something like a <abbr title='A union between multiple types means "any of these types".'>union</abbr> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

O mesmo aconteceria se você tivesse algo como uma <abbr title='Uma união entre vários tipos significa "qualquer um desses tipos".'>união</abbr> entre tipos diferentes onde um ou mais deles não são tipos Pydantic válidos, por exemplo, isso falharia 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.

Puedes usar todas las mismas funcionalidades de validación y herramientas que usas para los modelos de Pydantic, como diferentes tipos de datos y validaciones adicionales con `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### En résumé

En résumé, vous déclarez **une fois** les types de paramètres, <abbr title="en anglais : body">le corps</abbr>  de la requête, etc. en tant que paramètres de fonction.

Vous faites cela avec les types Python standard modernes.

Vous n'avez pas à apprendre une nouvelle syntaxe, les méthodes ou les classes d'une bibliothèque spécifique, etc.

 */
package okhttp3.survey

import java.security.Security
import okhttp3.Cache
import okhttp3.OkHttpClient
import okhttp3.survey.ssllabs.SslLabsClient
import okhttp3.survey.types.Client
import okhttp3.survey.types.SuiteId
import okio.FileSystem
import okio.Path.Companion.toPath
import org.conscrypt.Conscrypt

@Suppress("ktlint:standard:property-naming")
suspend fun main() {
  val includeConscrypt = false

    /**
     * Returns the element type of an array with parameterized types.
     * <p>
     * If <code>type</code> is not an array of parameterized types, <code>null</code> is returned.
     * </p>
     *
     * @param type
     *            the type to analyze
     * @return the element type of the array, or null if not an array of parameterized types
     */
    public static Type getElementTypeOfArray(final Type type) {

 * case of (say) {@link HashSet}, which is an <i>implementation</i>, with semantics that were
 * largely defined by its supertype.
 *
 * <p>For field types and method return types, you should generally use the immutable type (such as
 * {@link ImmutableList}) instead of the general collection interface type (such as {@link List}).

    #
    ; variousMap = map:{
        # o objectTypeTargetList: (NotRequired - Default list:{TABLE;VIEW})
        #  If you want to include other object types in generating target,
        #  you should specify the list of included object types as adding.
        #    e.g. Synonym of Oracle --> list:{TABLE ; VIEW ; SYNONYM}
        #  This is only for the main schema. Additional schemas are unconcerned.