{* ../../docs_src/openapi_callbacks/tutorial001_py310.py hl[33] *}

/// tip | Dica

Perceba que você não está passando o roteador em si (`invoices_callback_router`) para `callback=`, mas o atributo `.routes`, como em `invoices_callback_router.routes`.

///

 * limitations under the License.
 */
package gradlebuild.basics

/**
 * Attribute values for the different types of architecture data.
 * Used with [org.gradle.api.attributes.Category].
 */
object ArchitectureDataType {
    /**
     * JSON containing platforms data. See root settings file for more information.
     */
    val PLATFORMS = "platforms"

    /**

{* ../../docs_src/body_nested_models/tutorial004_py310.py hl[7:9] *}

### Das Kindmodell als Typ verwenden { #use-the-submodel-as-a-type }

Und dann können wir es als Typ eines Attributes verwenden:

{* ../../docs_src/body_nested_models/tutorial004_py310.py hl[18] *}

Das würde bedeuten, dass **FastAPI** einen Body wie folgt erwartet:

```JSON
{
    "name": "Foo",

// A TF_AbstractOp is the metadata we need to execute an operation. E.g. this
// could contain the op type and other attributes.
typedef struct TF_AbstractOp TF_AbstractOp;

// Stores a function representation that can be used for execution or for
// setting functional attributes of other composite ops e.g. control flow.
typedef struct TF_AbstractFunction TF_AbstractFunction;

So, a `datetime` object would have to be converted to a `str` containing the data in [ISO format](https://en.wikipedia.org/wiki/ISO_8601).

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

import org.w3c.dom.Node;

/**
 * Represents a tag configuration for pruning HTML content during document processing.
 * This class defines tag patterns that match HTML elements based on tag name, CSS class, ID, or custom attributes.
 * It is used to identify and remove unwanted HTML elements from crawled documents.
 */
public class PrunedTag {
    /** The HTML tag name to match (e.g., "div", "span", "p") */
    private final String tag;

fun consumableVariant(reportType: String, artifact: Provider<RegularFile>) = configurations.create("incubatingReport${reportType.capitalize()}") {
    isCanBeResolved = false
    isCanBeConsumed = true
    attributes {
        attribute(Usage.USAGE_ATTRIBUTE, objects.named(Usage.JAVA_RUNTIME))
        attribute(Category.CATEGORY_ATTRIBUTE, objects.named(Category.DOCUMENTATION))

Ainsi, un objet `datetime` doit être converti en une `str` contenant les données au [format ISO](https://en.wikipedia.org/wiki/ISO_8601).

De la même manière, cette base de données n'accepterait pas un modèle Pydantic (un objet avec des attributs), seulement un `dict`.

Vous pouvez utiliser `jsonable_encoder` pour cela.

Elle reçoit un objet, comme un modèle Pydantic, et renvoie une version compatible JSON :

    excludePatterns.convention(emptyList())
}

val sharedArchTestClasses by configurations.creating {
    isCanBeResolved = true
    isCanBeConsumed = false
    attributes {
        attribute(Category.CATEGORY_ATTRIBUTE, objects.named(Category.LIBRARY))
        attribute(Usage.USAGE_ATTRIBUTE, objects.named(Usage.JAVA_API))

import jcifs.Configuration;
import jcifs.internal.smb1.ServerMessageBlock;

/**
 * SMB1 Query Information request message.
 *
 * This command is used to retrieve basic file information
 * such as attributes, size, and timestamps.
 */
public class SmbComQueryInformation extends ServerMessageBlock {

    /**
     * Constructs a query information request.
     *
     * @param config the configuration