public ImmutableIntArray build() {
      return count == 0 ? EMPTY : new ImmutableIntArray(array, 0, count);
    }
  }

  // Instance stuff here

  // The array is never mutated after storing in this field and the construction strategies ensure
  // it doesn't escape this class
  @SuppressWarnings("Immutable")
  private final int[] array;

  /*

 */
@GwtIncompatible // not worth using in GWT for now
@ElementTypesAreNonnullByDefault
class CompactHashSet<E extends @Nullable Object> extends AbstractSet<E> implements Serializable {
  // TODO(user): cache all field accesses in local vars

  /** Creates an empty {@code CompactHashSet} instance. */
  public static <E extends @Nullable Object> CompactHashSet<E> create() {
    return new CompactHashSet<>();
  }

  /**

### 创建 `Settings` 对象

从 Pydantic 导入 `BaseSettings` 并创建一个子类，与 Pydantic 模型非常相似。

与 Pydantic 模型一样，您使用类型注释声明类属性，还可以指定默认值。

您可以使用与 Pydantic 模型相同的验证功能和工具，比如不同的数据类型和使用 `Field()` 进行附加验证。

```Python hl_lines="2  5-8  11"
{!../../docs_src/settings/tutorial001.py!}
```

/// tip

如果您需要一个快速的复制粘贴示例，请不要使用此示例，而应使用下面的最后一个示例。

///

    ImmutableList<Service> copy = ImmutableList.copyOf(services);
    if (copy.isEmpty()) {
      // Having no services causes the manager to behave strangely. Notably, listeners are never
      // fired. To avoid this we substitute a placeholder service.
      logger
          .get()
          .log(
              Level.WARNING,
              "ServiceManager configured with no services.  Is your application configured"

    ImmutableList<Service> copy = ImmutableList.copyOf(services);
    if (copy.isEmpty()) {
      // Having no services causes the manager to behave strangely. Notably, listeners are never
      // fired. To avoid this we substitute a placeholder service.
      logger
          .get()
          .log(
              Level.WARNING,
              "ServiceManager configured with no services.  Is your application configured"

Você pode utilizar todas as ferramentas e funcionalidades de validação que são utilizadas nos modelos do Pydantic, como tipos de dados diferentes e validações adicionei com `Field()`.

//// tab | Pydantic v2

```Python hl_lines="2  5-8  11"
{!> ../../docs_src/settings/tutorial001.py!}
```

////

//// tab | Pydantic v1

/// info

```python
from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")

     * constructor -- an example of the kind of lying that our hypothetical bytecode rewriter would
     * already have to deal with, thanks to DI frameworks that perform field and method injection,
     * frameworks like Android that define post-construct hooks like Activity.onCreate, etc.
     */

    @CheckForNull private ValueSetLink<K, V> predecessorInValueSet;

	// or URL with a release tgz. This is only used when no reader service account exists and has
	// to be created.
	ManifestsPath string

	// ServerOverride overrides the server IP/hostname field from the Kubeconfig
	ServerOverride string

	// SecretName selects a specific secret from the remote service account, if there are multiple
	SecretName string
}

Kubernetes Job customCommandJob customCommandJob: podAnnotations: annotations: securityContext: enabled: false runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 resources: requests: memory: 128Mi nodeSelector: {} tolerations: [] affinity: {} ## Use this field to add environment variables relevant to MinIO server. These fields will be passed on to MinIO container(s) ## when Chart is deployed environment: ## Please refer for comprehensive list https://docs.min.io/minio/baremetal/reference/minio-server/minio-server.html...