*
   * <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

    field: ModelField,
    *,
    cloned_types: Optional[MutableMapping[Type[BaseModel], Type[BaseModel]]] = None,
) -> ModelField:
    if PYDANTIC_V2:
        return field
    # cloned_types caches already cloned types to support recursive models and improve
    # performance by avoiding unnecessary cloning
    if cloned_types is None:
        cloned_types = _CLONED_TYPES_CACHE

    original_type = field.type_

==============================================================================*/
#include "tensorflow/c/eager/gradients.h"

#include <memory>

#include "absl/container/flat_hash_set.h"
#include "absl/types/span.h"
#include "tensorflow/c/eager/abstract_context.h"
#include "tensorflow/c/eager/abstract_tensor_handle.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/c_api_test_util.h"

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 {

Si necesitas un repaso de 2 minutos de cómo usar los tipos de Python (así no uses FastAPI) prueba el tutorial corto: [Python Types](python-types.md){.internal-link target=_blank}.

Escribes Python estándar con tipos así:

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str

var magicHighwayHash256Key = []byte("\x4b\xe7\x34\xfa\x8e\x23\x8a\xcd\x26\x3e\x83\xe6\xbb\x96\x85\x52\x04\x0f\x93\x5d\xa3\x9f\x44\x14\x97\xe0\x9d\x13\x22\xde\x36\xa0")

// Enumerated level types
const (
	// Log types errors
	FatalKind   = madmin.LogKindFatal
	WarningKind = madmin.LogKindWarning
	ErrorKind   = madmin.LogKindError
	EventKind   = madmin.LogKindEvent
	InfoKind    = madmin.LogKindInfo
)

var (

  // Version is the API Version of the Resource.  "*" means all.
  // +optional
  optional string version = 4;

  // Resource is one of the existing resource types.  "*" means all.
  // +optional
  optional string resource = 5;

  // Subresource is one of the existing resource types.  "" means none.
  // +optional
  optional string subresource = 6;

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!}
```