runs the actual "destructive" test classes.

. Install Virtual Box and Vagrant.
+
. (Optional) Install https://github.com/fgrehm/vagrant-cachier[vagrant-cachier] to squeeze
a bit more performance out of the process:
+
--------------------------------------
vagrant plugin install vagrant-cachier
--------------------------------------
+
. You can run all of the OS packaging tests with `./gradlew packagingTest`.

      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

그리고 같은 요청에 대해 동일한 의존성을 여러 번 호출하는 대신, 반환값을 <dfn title="계산/생성된 값을 저장해 두었다가, 다시 계산하지 않고 재사용하기 위한 유틸리티/시스템.">"캐시"</dfn>에 저장하고, 그 요청에서 해당 값이 필요한 모든 "dependants"에 전달합니다.

고급 시나리오로, 같은 요청에서 "cached" 값을 쓰는 대신 매 단계마다(아마도 여러 번) 의존성이 호출되어야 한다는 것을 알고 있다면, `Depends`를 사용할 때 `use_cache=False` 파라미터를 설정할 수 있습니다:

//// tab | Python 3.10+

```Python hl_lines="1"

				{Name: "a.txt"},
				{Name: "a/1.txt"},
				{Name: "apache2-doc/1.txt"},
				{Name: "apache2/-sub/2.txt"},
				{Name: "apache2/1.txt"},
			},
		},
		{
			Objects: []ObjectInfo{
				{Name: "apache2-doc/1.txt"},
				{Name: "apache2/1.txt"},
			},
		},
		{
			Prefixes: []string{"apache2-doc/", "apache2/", "azerty/"},
		},
	}

	testCases := []struct {

	quarkus/extensions/smallrye-context-propagation/runtime/pom.xml
	quarkus/extensions/hibernate-validator/runtime/pom.xml
quarkus/extensions/cache/deployment/pom.xml
	quarkus/extensions/cache/runtime/pom.xml
	quarkus/extensions/cache/deployment-spi/pom.xml
	quarkus/extensions/resteasy-reactive/rest-client-reactive/spi-deployment/pom.xml
	quarkus/extensions/arc/deployment/pom.xml

///

这里我们在你的 Pydantic `Settings` 类中定义配置项 `env_file`，并将其设置为我们想要使用的 dotenv 文件名。

### 使用 `lru_cache` 仅创建一次 `Settings` { #creating-the-settings-only-once-with-lru-cache }

从磁盘读取文件通常是一个代价较高（缓慢）的操作，所以你可能希望只在第一次读取，然后复用同一个设置对象，而不是为每个请求都重新读取。

但是，每次我们执行：

```Python
Settings()
```

都会创建一个新的 `Settings` 对象，并且在创建时会再次读取 `.env` 文件。

如果依赖项函数是这样的：

Sie könnten das auf der obersten Ebene des Moduls/der Datei machen, aber das würde auch bedeuten, dass **das Modell geladen wird**, selbst wenn Sie nur einen einfachen automatisierten Test ausführen, dann wäre dieser Test **langsam**, weil er warten müsste, bis das Modell geladen ist, bevor er einen davon unabhängigen Teil des Codes ausführen könnte.

        .addEqualityGroup(isNull)
        .addEqualityGroup(Equivalence.identity().equivalentTo("1"))
        .testEquals();
  }

  /*
   * We use large numbers to avoid the integer cache. Normally, we'd accomplish that merely by using
   * `new Integer` (as we do) instead of `Integer.valueOf`. However, under J2KT, `new Integer`

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.cache;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.util.concurrent.Futures.immediateFuture;

import com.google.common.annotations.GwtCompatible;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.cache;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;