* Range}, this allows the use of an arbitrary comparator. This is designed for use in the
 * implementation of subcollections of sorted collection types.
 *
 * <p>Whenever possible, use {@code Range} instead, which is better supported.
 *
 * @author Louis Wasserman
 */
@GwtCompatible(serializable = true)
@ElementTypesAreNonnullByDefault

    TF_Status* status);

// Information about the shape of a Tensor and its type.
struct TF_ShapeAndType {
  // Number of dimensions. -1 indicates unknown rank.
  int num_dims;
  // Array of dimensions. -1 indicates unknown dim.
  int64_t* dims;
  // The data type. May be 0 to denote unknown type.
  TF_DataType dtype;
};

typedef struct TF_ShapeAndType TF_ShapeAndType;

)

func init() {
	// Injected to prevent circular dependency.
	pubsub.GetByteBuffer = grid.GetByteBuffer
}

type poolDisksLayout struct {
	cmdline string
	layout  [][]string
}

type disksLayout struct {
	legacy bool
	pools  []poolDisksLayout
}

type serverCtxt struct {
	JSON, Quiet               bool
	Anonymous                 bool
	StrictS3Compat            bool

    val keyPair: KeyPair = heldCertificate.keyPair()
  }

  @Test @Disabled
  fun mediaType() {
    val mediaType: MediaType = MediaType.get("")
    val type: String = mediaType.type()
    val subtype: String = mediaType.subtype()
    val parse: MediaType? = MediaType.parse("")
  }

  @Test @Disabled
  fun mockResponse() {
    val mockResponse = MockResponse()

          <name>modelVersion</name>
          <version>1.1.0+</version>
          <type>String</type>
          <description>The version of the underlying metadata model.</description>
        </field>
        <field>
          <name>groupId</name>
          <version>1.0.0+</version>
          <type>String</type>

Vous pourriez aussi l'utiliser pour générer du code automatiquement, pour les clients qui communiquent avec votre API. Comme par exemple, des applications frontend, mobiles ou IOT.

## Récapitulatif, étape par étape

### Étape 1 : import `FastAPI`

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

Commençons avec cette application pour exemple :

{* ../../docs_src/query_params_str_validations/tutorial001.py hl[9] *}

Le paramètre de requête `q` a pour type `Union[str, None]` (ou `str | None` en Python 3.10), signifiant qu'il est de type `str` mais pourrait aussi être égal à `None`, et bien sûr, la valeur par défaut est `None`, donc **FastAPI** saura qu'il n'est pas requis.

/// note

Если вам нужно освежить знания, как использовать аннотации типов в Python (даже если вы не используете FastAPI), выделите 2 минуты и просмотрите краткое руководство: [Введение в аннотации типов Python¶
](python-types.md){.internal-link target=_blank}.

Вы пишете на стандартном Python с аннотациями типов:

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`

#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/tensor.pb.h"  // NOLINT
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/graph/graph.h"
#include "tensorflow/core/platform/base64.h"
#include "tensorflow/core/platform/strcat.h"
#include "tensorflow/core/util/debug_data_dumper.h"

      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work