}

// WriteAPI exposes a generic API for a client go type for status operations.
// Not all types have status, so they need to be split out
type WriteStatusAPI[T runtime.Object] interface {
	UpdateStatus(ctx context.Context, object T, opts metav1.UpdateOptions) (T, error)
}

// ReadAPI exposes a generic API for a client go type for read operations.
type ReadAPI[T runtime.Object, TL runtime.Object] interface {

* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"

// license that can be found in the LICENSE file.

package telemetry

// Common types and directories used by multiple packages.

// An UploadConfig controls what data is uploaded.
type UploadConfig struct {
	GOOS       []string
	GOARCH     []string
	GoVersion  []string
	SampleRate float64
	Programs   []*ProgramConfig
}

type ProgramConfig struct {
	// the counter names may have to be

// labels, which must be joined to produce the full set of endpoints.
type EndpointSlice struct {
	metav1.TypeMeta `json:",inline"`

	// Standard object's metadata.
	// +optional
	metav1.ObjectMeta `json:"metadata,omitempty" protobuf:"bytes,1,opt,name=metadata"`

	// addressType specifies the type of address carried by this EndpointSlice.
	// All addresses in this slice must be the same type. This field is

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/image03.png">

## Mais motivação

Marque esta função, ela já possui type hints:

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

Como o editor conhece os tipos de variáveis, você não apenas obtém a conclusão, mas também as verificações de erro:

<img src="/img/python-types/image04.png">

	StartTime *metav1.Time `json:"startTime,omitempty" protobuf:"bytes,7,opt,name=startTime"`
}

type PodCondition struct {
	// Type is the type of the condition.
	// Currently only Ready.
	// More info: http://kubernetes.io/docs/user-guide/pod-states#pod-conditions
	Type PodConditionType `json:"type" protobuf:"bytes,1,opt,name=type,casttype=PodConditionType"`
	// Status is the status of the condition.
	// Can be True, False, Unknown.

        provider.hasTypeForExtension(type2.extension)
        !provider.hasTypeForExtension(type3.extension)
    }

    def "default type"() {
        expect:
        provider.defaultType == type1

        when:
        provider.defaultType = type2.extension

        then:
        provider.defaultType == type2
    }

    def "can't set default type to unregistered type"() {
        when:

struct Types {
  typedef internal::Types$n<$for i, [[T$i]]> type;
};

template <>
struct Types<$for i, [[internal::None]]> {
  typedef internal::Types0 type;
};

$range i 1..n-1
$for i [[
$range j 1..i
$range k i+1..n
template <$for j, [[typename T$j]]>
struct Types<$for j, [[T$j]]$for k[[, internal::None]]> {
  typedef internal::Types$i<$for j, [[T$j]]> type;
};

]]

struct Types {
  typedef internal::Types$n<$for i, [[T$i]]> type;
};

template <>
struct Types<$for i, [[internal::None]]> {
  typedef internal::Types0 type;
};

$range i 1..n-1
$for i [[
$range j 1..i
$range k i+1..n
template <$for j, [[typename T$j]]>
struct Types<$for j, [[T$j]]$for k[[, internal::None]]> {
  typedef internal::Types$i<$for j, [[T$j]]> type;
};

]]