==============================================================================*/
#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"

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

### Sadece modern Python

Tamamiyle standartlar **Python 3.8**'nın type hintlerine dayanıyor (Pydantic'in sayesinde). Yeni bir syntax öğrenmene gerek yok. Sadece modern Python.


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}.

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!}
```

Ici, `item_id` est déclaré comme `int`.

/// check | "vérifier"

Vamos rever os conceitos de implantação anteriores:

* Segurança - HTTPS
* Executando na inicialização
* Reinicializações
* **Replicação (o número de processos em execução)**
* Memória
* Etapas anteriores antes de iniciar

    return proxyClass.isInstance(arg)
        // Equal proxy instances should mostly be instance of proxyClass
        // Under some edge cases (such as the proxy of JDK types serialized and then deserialized)
        // the proxy type may not be the same.
        // We first check isProxyClass() so that the common case of comparing with non-proxy objects
        // is efficient.
        || (Proxy.isProxyClass(arg.getClass())

    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {
        return ImmutableMap.of(
            InvocationTargetException.class,

      }
    }
  }

  private Type getOnlyParameterType() {
    assertThat(method.getGenericParameterTypes()).hasLength(1);
    return method.getGenericParameterTypes()[0];
  }

  @SuppressWarnings({"rawtypes", "unchecked"})
  private static Type getSupertype(Type type, Class<?> superclass) {
    Class rawType = superclass;
    return TypeToken.of(type).getSupertype(rawType).getType();
  }

   * the cache, but only the "generic" one is type-safe. That is, it will properly prevent you from
   * building caches whose key or value types are incompatible with the types accepted by the
   * weigher already provided; the {@code CacheBuilder} type cannot do this. For best results,
   * simply use the standard method-chaining idiom, as illustrated in the documentation at top,

But when checking benchmarks and comparisons you should keep the following in mind.

## Benchmarks and speed

When you check the benchmarks, it is common to see several tools of different types compared as equivalent.

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).