///

여기서는 Pydantic `Settings` 클래스 안에 config `env_file`을 정의하고, 사용하려는 dotenv 파일의 파일명을 값으로 설정합니다.

### `lru_cache`로 `Settings`를 한 번만 생성하기 { #creating-the-settings-only-once-with-lru-cache }

디스크에서 파일을 읽는 것은 보통 비용이 큰(느린) 작업이므로, 각 요청마다 읽기보다는 한 번만 수행하고 동일한 settings 객체를 재사용하는 것이 좋습니다.

하지만 매번 다음을 수행하면:

```Python
Settings()
```

새 `Settings` 객체가 생성되고, 생성 시점에 `.env` 파일을 다시 읽게 됩니다.

///

在這裡我們在 Pydantic 的 `Settings` 類別中定義設定 `env_file`，並將其值設為要使用的 dotenv 檔名。

### 使用 `lru_cache` 只建立一次 `Settings` { #creating-the-settings-only-once-with-lru-cache }

從磁碟讀取檔案通常是昂貴（慢）的操作，所以你可能希望只做一次，然後重複使用同一個設定物件，而不是在每個請求都讀取。

但每次我們這樣做：

```Python
Settings()
```

都會建立一個新的 `Settings` 物件，而且在建立時會再次讀取 `.env` 檔。

如果相依函式只是像這樣：

```Python

      multiple: true
      options:
        - com.google.common.annotations
        - com.google.common.base
        - com.google.common.cache
        - com.google.common.collect
        - com.google.common.escape
        - com.google.common.eventbus
        - com.google.common.graph
        - com.google.common.hash
        - com.google.common.io

        }
    }

    @Nested
    @DisplayName("Integration tests")
    class IntegrationTests {

        @Test
        @DisplayName("Should handle complete read-write cycle")
        void testCompleteReadWriteCycle() throws SMBProtocolDecodingException {
            // Given
            byte[] writeBuffer = new byte[100];
            byte[] readBuffer = new byte[100];

ALTER TABLE public.log_usage ALTER COLUMN log_id ADD GENERATED BY DEFAULT AS IDENTITY (
    SEQUENCE NAME public.log_usage_log_id_seq
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1
);
	`).Error; err != nil {
		t.Fatalf("failed to create table, got error %v", err)
	}

	columns, err := DB.Migrator().ColumnTypes("log_usage")
	if err != nil {

ALTER TABLE public.log_usage ALTER COLUMN log_id ADD GENERATED BY DEFAULT AS IDENTITY (
    SEQUENCE NAME public.log_usage_log_id_seq
    START WITH 1
    INCREMENT BY 1
    NO MINVALUE
    NO MAXVALUE
    CACHE 1
);
	`).Error; err != nil {
		t.Fatalf("failed to create table, got error %v", err)
	}

	columns, err := DB.Migrator().ColumnTypes("log_usage")
	if err != nil {

func (sys *IAMSys) getStoredLDAPPolicyMappingKeys(ctx context.Context, isGroup bool) set.StringSet {
	entityKeysInStorage := set.NewStringSet()
	cache := sys.store.rlock()
	defer sys.store.runlock()
	cachedPolicyMap := cache.iamSTSPolicyMap
	if isGroup {
		cachedPolicyMap = cache.iamGroupPolicyMap
	}
	cachedPolicyMap.Range(func(k string, v MappedPolicy) bool {
		entityKeysInStorage.Add(k)
		return true
	})

 *       worse, and possibly better, than creating a mutable collection and copying it.
 *   <li>Implementations generally do not cache hash codes. If your element or key type has a slow
 *       {@code hashCode} implementation, it should cache it itself.
 * </ul>
 *
 * <h4>Example usage</h4>
 *
 * {@snippet :
 * class Foo {
 *   private static final ImmutableSet<String> RESERVED_CODES =

/**
 * Utilities for collecting and validating tester requirements from annotations.
 *
 * @author George van den Driessche
 */
@GwtIncompatible
public final class FeatureUtil {
  /** A cache of annotated objects (typically a Class or Method) to its set of annotations. */
  private static final Map<AnnotatedElement, List<Annotation>> annotationCache = new HashMap<>();

labels.handler_script=Script
labels.data_crawling_button_create=Créer
labels.data_crawling_button_create_job=Créer une nouvelle tâche
labels.wizard_title_configuration=Assistant de configuration
labels.wizard_start_title=Configuration facile
labels.wizard_start_desc=Vous pouvez créer facilement un paramètre d'exploration à l'aide de l'assistant de configuration.
labels.wizard_start_button=Démarrer la configuration
labels.wizard_button_cancel=Annuler