{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Ein zufälliges Item { #a-random-item }

// PutObject - writes an object to hashedSet based on the object name.
func (s *erasureSets) PutObject(ctx context.Context, bucket string, object string, data *PutObjReader, opts ObjectOptions) (objInfo ObjectInfo, err error) {
	set := s.getHashedSet(object)
	return set.PutObject(ctx, bucket, object, data, opts)
}

// GetObjectInfo - reads object metadata from the hashedSet based on the object name.

Aquí hay un poquito de esa historia.

## Alternativas { #alternatives }

He estado creando APIs con requisitos complejos durante varios años (Machine Learning, sistemas distribuidos, trabajos asíncronos, bases de datos NoSQL, etc.), liderando varios equipos de desarrolladores.

Como parte de eso, necesitaba investigar, probar y usar muchas alternativas.

La historia de **FastAPI** es en gran parte la historia de sus predecesores.

///

La única cosa que la función devuelta por `GzipRequest.get_route_handler` hace diferente es convertir el `Request` en un `GzipRequest`.

Haciendo esto, nuestro `GzipRequest` se encargará de descomprimir los datos (si es necesario) antes de pasarlos a nuestras *path operations*.

Después de eso, toda la lógica de procesamiento es la misma.

        * `password`: alguns dos próximos capítulos tratarão disso.
* `openIdConnect`: tem uma forma para definir como descobrir automaticamente o dado da autenticação OAuth2.
    * Essa descoberta automática é o que é definido na especificação OpenID Connect.


/// tip | Dica

	// can reach that size according to https://aws.amazon.com/articles/1434
	maxFormFieldSize = int64(1 * humanize.MiByte)

	// The maximum allowed time difference between the incoming request
	// date and server date during signature verification.
	globalMaxSkewTime = 15 * time.Minute // 15 minutes skew allowed.

	// GlobalStaleUploadsExpiry - Expiry duration after which the uploads in multipart,
	// tmp directory are deemed stale.

// Fast path method that makes constructing a single scalar tensor require less
// overhead and copies.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromScalar(
    TF_DataType data_type, void* data, size_t len, TF_Status* status);

// Specify the server_def that enables collective ops.
// This is different to the above function in that it doesn't create remote

    * As connecting to an email server and sending an email tends to be "slow" (several seconds), you can return the response right away and send the email notification in the background.
* Processing data:
    * For example, let's say you receive a file that must go through a slow process, you can return a response of "Accepted" (HTTP 202) and process the file in the background.

## Using `BackgroundTasks` { #using-backgroundtasks }

### Docs for tests

Most of the tests actually run against the example source files in the documentation.

This helps to make sure that:

* The documentation is up-to-date.
* The documentation examples can be run as is.
* Most of the features are covered by the documentation, ensured by test coverage.

#### Apps and docs at the same time

If you run the examples with, e.g.:

package schema_test

import (
	"sync"
	"testing"
	"time"

	"gorm.io/gorm"
	"gorm.io/gorm/schema"
	"gorm.io/gorm/utils/tests"
)

func checkStructRelation(t *testing.T, data interface{}, relations ...Relation) {
	if s, err := schema.Parse(data, &sync.Map{}, schema.NamingStrategy{}); err != nil {
		t.Errorf("Failed to parse schema, got error %v", err)
	} else {
		for _, rel := range relations {
			checkSchemaRelation(t, s, rel)
		}