return bytes, json.Unmarshal(val, j.val)
}

// Msgsize returns the size of an empty JSON object.
func (j *JSON[T]) Msgsize() int {
	return j.p.emptySz
}

// NoPayload is a type that can be used for handlers that do not use a payload.
type NoPayload struct{}

// Msgsize returns 0.
func (p NoPayload) Msgsize() int {
	return 0
}

// UnmarshalMsg satisfies the interface, but is a no-op.

Todo **FastAPI** está basado en estos type hints, lo que le da muchas ventajas y beneficios.

Pero, así nunca uses **FastAPI** te beneficiarás de aprender un poco sobre los type hints.

!!! note "Nota"
    Si eres un experto en Python y ya lo sabes todo sobre los type hints, salta al siguiente capítulo.

<img src="/img/python-types/image02.png">

Com isso, você pode rolar, vendo as opções, até encontrar o que "toca uma campainha":

<img src="/img/python-types/image03.png">

## Mais motivação

Marque esta função, ela já possui type hints:

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial003.py!}
```

}

type metricValue struct {
	Labels map[string]string
	Value  float64
}

// MetricValues - type to set metric values retrieved while loading metrics. A
// value of this type is passed to the `MetricsLoaderFn`.
type MetricValues struct {
	values      map[MetricName][]metricValue
	descriptors map[MetricName]MetricDescriptor
}

func newMetricValues(d map[MetricName]MetricDescriptor) MetricValues {

// Error implements Error interface
func (b BatchJobYamlErr) Error() string {
	return fmt.Sprintf("%s\n Hint: error near line: %d, col: %d", b.msg, b.line, b.col)
}

// BatchJobKV is a key-value data type which supports wildcard matching
type BatchJobKV struct {
	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

		}
	}
}

// Type returns a *Type with the same memory layout as
// dtype when used as the type of a variable or a struct field.
func (c *typeConv) Type(dtype dwarf.Type, pos token.Pos) *Type {
	return c.loadType(dtype, pos, "")
}

// loadType recursively loads the requested dtype and its dependency graph.
func (c *typeConv) loadType(dtype dwarf.Type, pos token.Pos, parent string) *Type {

    }

    override fun convertType(type: KType): KType {
        val first = type.arguments.getOrNull(0)?.type ?: return type
        val second = type.arguments.getOrNull(1)?.type ?: return type
        return Pair::class.createType(
            arguments = listOf(
                KTypeProjection(
                    variance = KVariance.INVARIANT,
                    type = mappingConversionFirst.convertType(first)

import java.lang.annotation.Target;

import static java.lang.annotation.ElementType.*;
import static java.lang.annotation.RetentionPolicy.RUNTIME;

@Target({FIELD, METHOD, TYPE})
@Retention(RUNTIME)
@Documented
public @interface Typed {
    Class<?>[] value() default {};

                                    "schema": {
                                        "title": "Response 500 Valid2 Valid2 Get",
                                        "type": "array",
                                        "items": {"type": "integer"},
                                    }
                                }
                            },
                        },
                    },
                }

type DeleteOptions struct {
	BaseOptions
	Recursive bool `msg:"r"`
	Immediate bool `msg:"i"`
	UndoWrite bool `msg:"u"`
}

// BaseOptions represents common options for all Storage API calls
type BaseOptions struct{}

// RenameOptions represents rename API options, currently its same as BaseOptions
type RenameOptions struct {
	BaseOptions
}