// Compress adjacent spaces (a space is determined by
	// unicode.IsSpace() internally here) to one space and return
	return strings.Join(strings.Fields(input), " ")
}

// checkMetaHeaders will check if the metadata from header/url is the same with the one from signed headers
func checkMetaHeaders(signedHeadersMap http.Header, r *http.Request) APIErrorCode {
	// check values from http header
	for k, val := range r.Header {

    - tutorial/cors.md
    - tutorial/sql-databases.md
    - tutorial/bigger-applications.md
    - tutorial/stream-json-lines.md
    - tutorial/server-sent-events.md
    - tutorial/background-tasks.md
    - tutorial/metadata.md
    - tutorial/static-files.md
    - tutorial/testing.md
    - tutorial/debugging.md
  - Advanced User Guide:
    - advanced/index.md
    - advanced/stream-data.md

**FastAPI** целиком основан на Pydantic.

Вы увидите намного больше всего этого на практике в [Учебник - Руководство пользователя](tutorial/index.md).

## Подсказки типов с аннотациями метаданных { #type-hints-with-metadata-annotations }

В Python также есть возможность добавлять **дополнительные <dfn title="Данные о данных, в данном случае — информация о типе, например описание.">метаданные</dfn>** к подсказкам типов с помощью `Annotated`.

		},
		{
			name:    "incorrect X-Amz-Credential",
			fv:      defaultFormVals.Clone().Set(xhttp.AmzCredential, "incorrect"),
			wantErr: policyCondFailedErr,
		},
		{
			name:    "incorrect metadata uuid",
			fv:      defaultFormVals.Clone().Set(xhttp.AmzMetaUUID, "151274"),
			wantErr: "Invalid according to Policy: Policy Condition failed: [eq, $x-amz-meta-uuid, 14365123651274]",
		},
		{

import java.util.Objects;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;

import org.apache.maven.artifact.Artifact;
import org.apache.maven.artifact.ArtifactUtils;
import org.apache.maven.artifact.metadata.ResolutionGroup;
import org.apache.maven.artifact.repository.ArtifactRepository;
import org.apache.maven.artifact.repository.ArtifactRepositoryPolicy;

/**
 * DefaultMavenMetadataCache
 */
@Named
@Singleton

	// initialize the object layer.
	defer setObjectLayer(z)

	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	attempt := 1
	for {
		var err error
		bootstrapTrace(fmt.Sprintf("poolMeta.Init: loading pool metadata, attempt: %d", attempt), func() {
			err = z.Init(ctx) // Initializes all pools.
		})
		if err != nil {
			if !configRetriableErrors(err) {
				logger.Fatal(err, "Unable to initialize backend")
			}

                    pageSize, 0);
        }
    }

    /**
     * Creates a QueryResponseList containing the search results and metadata.
     * Wraps the document list with additional information about the search operation
     * including record counts, timing, and pagination details.
     *
     * @param documentList the list of search result documents

Vous vous souvenez que je vous ai dit plus tôt que `Annotated` peut être utilisé pour ajouter des métadonnées à vos paramètres dans l’[Introduction aux types Python](../python-types.md#type-hints-with-metadata-annotations) ?

C’est le moment de l’utiliser avec FastAPI. 🚀

Nous avions cette annotation de type :

```Python
q: str | None = None
```

{* ../../docs_src/custom_request_and_route/tutorial001_an_py310.py hl[19:27] *}

/// note | Detalles técnicos

Un `Request` tiene un atributo `request.scope`, que es simplemente un `dict` de Python que contiene los metadatos relacionados con el request.

Un `Request` también tiene un `request.receive`, que es una función para "recibir" el request body.

El `dict` `scope` y la función `receive` son ambos parte de la especificación ASGI.

  },
  {
    "name": "antlr",
    "path": "platforms/jvm/antlr",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": false
  },
  {
    "name": "api-metadata",
    "path": "platforms/core-configuration/api-metadata",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "architecture-test",
    "path": "testing/architecture-test",