TFE_Context* ctx = TFE_NewContext(opts, status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteContextOptions(opts);

  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  TFE_TensorHandle* h0_task0 = TestMatrixTensorHandle(ctx);
  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *MetricDescription) Msgsize() (s int) {

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BucketOptions) Msgsize() (s int) {
	s = 1 + 8 + msgp.BoolSize + 7 + msgp.BoolSize + 11 + msgp.BoolSize
	return
}

// MarshalMsg implements msgp.Marshaler

		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = StatusType(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z StatusType) Msgsize() (s int) {
	s = msgp.StringPrefixSize + len(string(z))
	return
}

// DecodeMsg implements msgp.Decodable
func (z *Type) DecodeMsg(dc *msgp.Reader) (err error) {
	{

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Giriş ve Çıkış Verisi için Pydantic `bytes` { #pydantic-bytes-for-input-and-output-data }

Elbette, aynı modeli base64 kullanacak şekilde yapılandırıp hem girişte (*validate*) `val_json_bytes` ile hem de çıkışta (*serialize*) `ser_json_bytes` ile JSON veri alıp gönderirken kullanabilirsiniz.

```

</div>

Luego dirígete a la interfaz de `/docs`, verás que **FastAPI** está usando estos **modelos** para **documentar** la API, y los usará para **serializar** y **validar** los datos también.

<div class="screenshot">
<img src="/img/tutorial/sql-databases/image01.png">
</div>

## Actualizar la App con Múltiples Modelos { #update-the-app-with-multiple-models }

  /*
   * The mainline copy of ImmutableMapValues doesn't produce this serialized form anymore, though
   * the backport does. For now, we're keeping the class declaration in *both* flavors so that both
   * flavors can read old data or data from the other flavor. However, we strongly discourage
   * relying on this, as we have made incompatible changes to serialized forms in the past and

Si declaras un [Response Model](../tutorial/response-model.md) FastAPI lo usará para serializar los datos a JSON, usando Pydantic.

Si no declaras un response model, FastAPI usará el `jsonable_encoder` explicado en [JSON Compatible Encoder](../tutorial/encoder.md) y lo pondrá en un `JSONResponse`.

  /*
   * The mainline copy of ImmutableMapValues doesn't produce this serialized form anymore, though
   * the backport does. For now, we're keeping the class declaration in *both* flavors so that both
   * flavors can read old data or data from the other flavor. However, we strongly discourage
   * relying on this, as we have made incompatible changes to serialized forms in the past and

// call Recycle() when the object is no longer needed.
// The recycler should handle nil pointers.
type Recycler interface {
	Recycle()
}

// MSS is a map[string]string that can be serialized.
// It is not very efficient, but it is only used for easy parameter passing.
type MSS map[string]string

// Get returns the value for the given key.
func (m *MSS) Get(key string) string {
	if m == nil {
		return ""