// Write the mocking script.
    val settings1 = Settings()
    settings1[Settings.HEADER_TABLE_SIZE] = 10000
    settings1[Settings.INITIAL_WINDOW_SIZE] = 20000
    settings1[Settings.MAX_FRAME_SIZE] = 30000
    peer.sendFrame().settings(settings1)
    peer.acceptFrame() // ACK SETTINGS
    val settings2 = Settings()
    settings2[Settings.INITIAL_WINDOW_SIZE] = 40000
    settings2[Settings.MAX_FRAME_SIZE] = 50000

 * limitations under the License.
 */
package okhttp3.internal.http2

/**
 * Settings describe characteristics of the sending peer, which are used by the receiving peer.
 * Settings are [connection][Http2Connection] scoped.
 */
class Settings {
  /** Bitfield of which flags that values. */
  private var set: Int = 0

  /** Flag values. */
  private val values = IntArray(COUNT)

 |
 |  1. User Level. This settings.xml file provides configuration for a single user,
 |                 and is normally provided in ${user.home}/.m2/settings.xml.
 |
 |                 NOTE: This location can be overridden with the CLI option:
 |
 |                 -s /path/to/user/settings.xml
 |
 |  2. Installation Level.
 |                 This settings.xml file provides configuration for all Maven

## Pydantic `Settings` { #pydantic-settings }

다행히 Pydantic은 환경 변수에서 오는 이러한 설정을 처리할 수 있는 훌륭한 유틸리티를 [Pydantic: Settings 관리](https://docs.pydantic.dev/latest/concepts/pydantic_settings/)로 제공합니다.

### `pydantic-settings` 설치하기 { #install-pydantic-settings }

먼저 [가상 환경](../virtual-environments.md)을 만들고 활성화한 다음, `pydantic-settings` 패키지를 설치하세요:

<div class="termy">

```console

## Pydantic `Settings` { #pydantic-settings }

Neyse ki Pydantic, environment variable'lardan gelen bu ayarları yönetmek için [Pydantic: Settings yönetimi](https://docs.pydantic.dev/latest/concepts/pydantic_settings/) ile çok iyi bir yardımcı araç sunar.

### `pydantic-settings`'i kurun { #install-pydantic-settings }

## Pydantic `Settings` { #pydantic-settings }

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with [Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### Install `pydantic-settings` { #install-pydantic-settings }

## Pydantic `Settings` { #pydantic-settings }

Afortunadamente, Pydantic proporciona una gran utilidad para manejar estas configuraciones provenientes de variables de entorno con [Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

### Instalar `pydantic-settings` { #install-pydantic-settings }

  xml.namespace="http://maven.apache.org/SETTINGS/${version}"
  xml.schemaLocation="https://maven.apache.org/xsd/settings-${version}.xsd">
  <id>settings</id>
  <name>Settings</name>
  <description>
    <![CDATA[
    <p>This is a reference for the user-specific configuration for Maven.</p>

Il convertira ensuite et validera les données. Ainsi, lorsque vous utilisez cet objet `settings`, vous aurez des données des types que vous avez déclarés (par exemple, `items_per_user` sera un `int`).

### Utiliser `settings` { #use-the-settings }

Vous pouvez ensuite utiliser le nouvel objet `settings` dans votre application :

{* ../../docs_src/settings/tutorial001_py310.py hl[18:20] *}

### Exécuter le serveur { #run-the-server }

///

接著，當你建立該 `Settings` 類別的實例（此處為 `settings` 物件）時，Pydantic 會以不區分大小寫的方式讀取環境變數，因此，即使環境變數是大寫的 `APP_NAME`，也會被讀入屬性 `app_name`。

然後它會轉換並驗證資料。因此，當你使用該 `settings` 物件時，你會得到你宣告的型別的資料（例如 `items_per_user` 會是 `int`）。

### 使用 `settings` { #use-the-settings }

接著你可以在應用程式中使用新的 `settings` 物件：

{* ../../docs_src/settings/tutorial001_py310.py hl[18:20] *}

### 執行伺服器 { #run-the-server }

接下來，你可以在啟動伺服器時，將設定以環境變數傳入。舉例來說，你可以設定 `ADMIN_EMAIL` 與 `APP_NAME`：