务必确保每个操作的 `operation_id` 都是唯一的。

{* ../../docs_src/path_operation_advanced_configuration/tutorial001_py310.py hl[6] *}

### 使用 *路径操作函数* 的函数名作为 operationId { #using-the-path-operation-function-name-as-the-operationid }

如果你想用 API 的函数名作为 `operationId`，你可以遍历所有路径操作，并使用它们的 `APIRoute.name` 重写每个 *路径操作* 的 `operation_id`。

你应该在添加了所有 *路径操作* 之后执行此操作。

{* ../../docs_src/path_operation_advanced_configuration/tutorial001_py310.py hl[6] *}

### Utiliser le nom de la fonction de chemin d’accès comme operationId { #using-the-path-operation-function-name-as-the-operationid }

Si vous souhaitez utiliser les noms de fonction de vos API comme `operationId`, vous pouvez les parcourir tous et remplacer l’`operation_id` de chaque chemin d’accès en utilisant leur `APIRoute.name`.

    steps:
    - name: Checkout code
      uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
    - name: Update the RBE Configs
      run: |
        function map() {
          # The "digest" that allows us to pull an image is not the digest as
          # returned by the API, but a sha256sum of the entire chunk of image

///

## Bodies of pure lists { #bodies-of-pure-lists }

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

```Python
images: list[Image]
```

as in:

{* ../../docs_src/body_nested_models/tutorial008_py310.py hl[13] *}

///

## その他の非同期関数呼び出し { #other-asynchronous-function-calls }

テスト関数が非同期になったので、FastAPI アプリへのリクエスト送信以外の `async` 関数も、コードの他の場所と同様に呼び出して（`await` して）使えます。

/// tip | 豆知識

{* ../../docs_src/path_operation_advanced_configuration/tutorial001_py310.py hl[6] *}

### Utilizando o nome da *função de operação de rota* como o operationId { #using-the-path-operation-function-name-as-the-operationid }

/// tip | Порада

Подія `shutdown` відбувається, коли ви зупиняєте застосунок.

Можливо, вам треба запустити нову версію, або ви просто втомилися її запускати. 🤷

///

### Функція тривалості життя { #lifespan-function }

Перше, на що слід звернути увагу: ми визначаємо асинхронну функцію з `yield`. Це дуже схоже на залежності з `yield`.

{* ../../docs_src/events/tutorial003_py310.py hl[14:19] *}

    "I",  # isort
    "B",  # flake8-bugbear
    "C4",  # flake8-comprehensions
    "UP",  # pyupgrade
]
ignore = [
    "E501",  # line too long, handled by black
    "B008",  # do not perform function calls in argument defaults
    "C901",  # too complex
    "W191",  # indentation contains tabs
]

[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.timer;

import java.util.Date;
import java.util.function.Supplier;

import org.codelibs.fess.helper.SystemHelper;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.junit.jupiter.api.Test;

 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)
 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *