Diese Typen mit inneren Typen werden „**generische**“ Typen genannt. Es ist möglich, sie mit ihren inneren Typen zu deklarieren.

Um diese Typen und die inneren Typen zu deklarieren, können Sie Pythons Standardmodul `typing` verwenden. Es existiert speziell für die Unterstützung dieser Typhinweise.

#### Neuere Python-Versionen

    * In requests and responses, handled the same as a `float`.
* You can check all the valid pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example

Here's an example *path operation* with parameters using some of the above types.

=== "Python 3.10+"

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

	// Also, avoid specifying:
	// 1. Duplicates, the same NUMA node, and memory type, but with a different value.
	// 2. zero limits for any memory type.
	// 3. NUMAs nodes IDs that do not exist under the machine.
	// 4. memory types except for memory and hugepages-<size>
	ReservedMemory []MemoryReservation
	// EnableProfiling enables /debug/pprof handler.

// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// type is the type of metric source.  It should be one of "ContainerResource",
	// "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object.
	// Note: "ContainerResource" type is available on when the feature-gate
	// HPAContainerMetrics is enabled

	// UID identifies exactly one incarnation of the resource.
	UID types.UID `json:"uid" protobuf:"bytes,5,name=uid"`
}

// +genclient
// +k8s:deepcopy-gen:interfaces=k8s.io/apimachinery/pkg/runtime.Object
// +k8s:prerelease-lifecycle-gen:introduced=1.26

// ResourceClaimTemplate is used to produce ResourceClaim objects.
type ResourceClaimTemplate struct {
	metav1.TypeMeta `json:",inline"`

)

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
type MetricSpec struct {
	// Type is the type of metric source.  It should be one of "Object",
	// "Pods" or "Resource", each mapping to a matching field in the object.
	Type MetricSourceType

	// Object refers to a metric describing a single kubernetes object

// necessary to perform the update for the indicated strategy.
type StatefulSetUpdateStrategy struct {
	// Type indicates the type of the StatefulSetUpdateStrategy.
	// Default is RollingUpdate.
	// +optional
	Type StatefulSetUpdateStrategyType `json:"type,omitempty" protobuf:"bytes,1,opt,name=type,casttype=StatefulSetStrategyType"`
	// RollingUpdate is used to communicate parameters when Type is RollingUpdateStatefulSetStrategyType.
	// +optional

しかし今、あなたが再びその関数を作成している最中に、型ヒントを使っていると想像してみて下さい。

同じタイミングで`Ctrl+Space`で自動補完を実行すると、以下のようになります:

<img src="https://fastapi.tiangolo.com/img/python-types/image02.png">

これであれば、あなたは「ベルを鳴らす」一つを見つけるまで、オプションを見て、スクロールすることができます:

<img src="https://fastapi.tiangolo.com/img/python-types/image03.png">

## より強い動機

この関数を見てください。すでに型ヒントを持っています:

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

}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
type MetricTarget struct {
	// type represents whether the metric type is Utilization, Value, or AverageValue
	Type MetricTargetType `json:"type" protobuf:"bytes,1,name=type"`

	// value is the target value of the metric (as a quantity).
	// +optional

}

// PriorityLevelConfigurationCondition defines the condition of priority level.
type PriorityLevelConfigurationCondition struct {
	// `type` is the type of the condition.
	// Required.
	Type PriorityLevelConfigurationConditionType `json:"type,omitempty" protobuf:"bytes,1,opt,name=type"`
	// `status` is the status of the condition.