// 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)

## 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>

Далее он преобразует и провалидирует данные. Поэтому при использовании объекта `settings` вы получите данные тех типов, которые объявили (например, `items_per_user` будет `int`).

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

Затем вы можете использовать новый объект `settings` в вашем приложении:

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

### Запуск сервера { #run-the-server }

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

Glücklicherweise bietet Pydantic ein großartiges Werkzeug zur Verarbeitung dieser Einstellungen, die von Umgebungsvariablen stammen, mit [Pydantic: Settings Management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

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

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

幸いなことに、Pydantic には環境変数から来る設定を扱うための優れたユーティリティがあり、[Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/) で提供されています。

### `pydantic-settings` のインストール { #install-pydantic-settings }

まず、[仮想環境](../virtual-environments.md)を作成して有効化し、`pydantic-settings` パッケージをインストールします:

<div class="termy">

```console

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

Felizmente, o Pydantic fornece uma ótima utilidade para lidar com essas configurações vindas de variáveis de ambiente com [Pydantic: Settings management](https://docs.pydantic.dev/latest/concepts/pydantic_settings/).

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