6. Aqui estamos retornando um dicionário que contém `items`, que é uma lista de dataclasses.

    O FastAPI ainda é capaz de <abbr title="converter os dados para um formato que pode ser transmitido">serializar</abbr> os dados para JSON.

7. Aqui o `response_model` está usando uma anotação de tipo de uma lista de dataclasses `Author`.

    Novamente, você pode combinar `dataclasses` com anotações de tipo padrão.

var serializerMap = sync.Map{}

// RegisterSerializer register serializer
func RegisterSerializer(name string, serializer SerializerInterface) {
	serializerMap.Store(strings.ToLower(name), serializer)
}

// GetSerializer get serializer
func GetSerializer(name string) (serializer SerializerInterface, ok bool) {
	v, ok := serializerMap.Load(strings.ToLower(name))
	if ok {
		serializer, ok = v.(SerializerInterface)
	}
	return serializer, ok
}

        if errors:
            raise ResponseValidationError(
                errors=_normalize_errors(errors), body=response_content
            )

        if hasattr(field, "serialize"):
            return field.serialize(
                value,
                include=include,
                exclude=exclude,
                by_alias=by_alias,
                exclude_unset=exclude_unset,

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

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

  const char task0_name[] = "/job:localhost/replica:0/task:0/device:CPU:0";

  EXPECT_EQ(tensorflow::unwrap(var_handle0)->DeviceName(&status2), dev0_name);

  // Rename local device
  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();
  TFE_ContextSetServerDef(ctx, 0, serialized.data(), serialized.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);

  const string dev1_name =

                    not include that field, the JSON sent to the client would not have
                    that `password`.
                * Validation: whatever you return will be serialized with the
                    `response_model`, converting any data as necessary to generate the
                    corresponding JSON. But if the data in the object returned is not

                  server_def, tensorflow::Env::Default(), &worker_server2)
                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

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

  BasicTestsForTwoDevices(context.get(),

			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 *allTierStats) Msgsize() (s int) {
	s = 1 + 3 + msgp.MapHeaderSize
	if z.Tiers != nil {
		for za0001, za0002 := range z.Tiers {
			_ = za0002

///

### Read Heroes with `HeroPublic`

We can do the same as before to **read** `Hero`s, again, we use `response_model=list[HeroPublic]` to ensure that the data is validated and serialized correctly.

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[65:72] hl[65] *}

### Read One Hero with `HeroPublic`

We can **read** a single hero:

			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