limitations under the License.
==============================================================================*/
#include "tensorflow/c/eager/gradient_checker.h"

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/c_api_unified_experimental.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/ops/math_ops.h"

///

## Use `Annotated` in the type for the `q` parameter

Remember I told you before that `Annotated` can be used to add metadata to your parameters in the [Python Types Intro](../python-types.md#type-hints-with-metadata-annotations){.internal-link target=_blank}?

Now it's the time to use it with FastAPI. 🚀

We had this type annotation:

//// tab | Python 3.10+

```Python

import java.util.concurrent.atomic.AtomicInteger;
import java.util.regex.Pattern;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Generates fresh instances of types that are different from each other (if possible).
 *
 * @author Ben Yu
 */
@GwtIncompatible
@J2ktIncompatible
class FreshValueGenerator {

  private static final ImmutableMap<Class<?>, Method> GENERATORS;

   *
   * <blockquote>
   *
   * "Some collection implementations have restrictions on the elements that they may contain. For
   * example, some implementations prohibit null elements, and some have restrictions on the types
   * of their elements."
   *
   * </blockquote>
   */
  RESTRICTS_ELEMENTS,

  /**
   * Indicates that a collection has a well-defined ordering of its elements. The ordering may

 */

package jcifs.smb1.netbios;

import java.io.IOException;
import java.io.InputStream;

public abstract class SessionServicePacket { 

    // session service packet types 
    static final int SESSION_MESSAGE = 0x00; 
    static final int SESSION_REQUEST = 0x81; 
    public static final int POSITIVE_SESSION_RESPONSE = 0x82; 
    public static final int NEGATIVE_SESSION_RESPONSE = 0x83; 

Jeśli potrzebujesz szybkiego przypomnienia jak używać deklaracji typów w Pythonie (nawet jeśli nie używasz FastAPI), sprawdź krótki samouczek: [Python Types](python-types.md){.internal-link target=_blank}.

Wystarczy, że napiszesz standardowe deklaracje typów Pythona:

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str

Eğer Python type hintlerini bilmiyorsan veya bir hatırlatmaya ihtiyacın var ise(FastAPI kullanmasan bile) şu iki dakikalık küçük bilgilendirici içeriğe bir göz at: [Python Types](python-types.md){.internal-link target=_blank}.

Standart Python'u typelarını belirterek yazıyorsun:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

vous verrez comme réponse :

```JSON
{"item_id":"foo"}
```

## Paramètres de chemin typés

Vous pouvez déclarer le type d'un paramètre de chemin dans la fonction, en utilisant les annotations de type Python :


```Python hl_lines="7"
{!../../docs_src/path_params/tutorial002.py!}
```

limitations under the License.
==============================================================================*/
#include "tensorflow/c/eager/gradient_checker.h"

#include <memory>

#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/experimental/ops/math_ops.h"
#include "tensorflow/c/tf_tensor.h"

namespace tensorflow {
namespace gradients {

package lifecycle

import (
	"bytes"
	"encoding/xml"
)

// Status represents lifecycle configuration status
type Status string

// Supported status types
const (
	Enabled  Status = "Enabled"
	Disabled Status = "Disabled"
)

// Rule - a rule for lifecycle configuration.
type Rule struct {
	XMLName             xml.Name            `xml:"Rule"`