chmod +x /go/bin/mc

RUN if [ "$TARGETARCH" = "amd64" ]; then \
       curl -L -s -q https://github.com/moparisthebest/static-curl/releases/latest/download/curl-${TARGETARCH} -o /go/bin/curl; \
       chmod +x /go/bin/curl; \
    fi

# Verify binary signature using public key "RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGavRUN"

  // uses this field as a collision avoidance mechanism when it needs to
  // create the name for the newest ControllerRevision.
  // +optional
  optional int32 collisionCount = 9;

  // Represents the latest available observations of a DaemonSet's current state.
  // +optional
  // +patchMergeKey=type
  // +patchStrategy=merge
  repeated DaemonSetCondition conditions = 10;
}

* İşlem-içi arka plan görevleri.
* Başlatma ve kapatma olayları.
* HTTPX ile geliştirilmiş bir test istemcisi.
* CORS, GZip, Static Files ve Streaming cevapları desteği.
* Session ve çerez desteği.
* Kodun %100'ü test kapsamında.
* Kodun %100'ü tip belirteçleriyle desteklenmiştir.
* Yalnızca bir kaç zorunlu bağımlılığa sahip.

/// check | "Идея для **FastAPI**"

Использовать код программы для автоматического создания "схем", определяющих типы данных и их проверку.

///

### <a href="https://webargs.readthedocs.io/en/latest/" class="external-link" target="_blank">Webargs</a>

Другая немаловажная функция API - <abbr title="чтение и преобразование данных в объекты Python">парсинг</abbr> данных из входящих запросов.

# 模式的额外信息 - 例子

您可以在JSON模式中定义额外的信息。

一个常见的用例是添加一个将在文档中显示的`example`。

有几种方法可以声明额外的 JSON 模式信息。

## Pydantic `schema_extra`

您可以使用 `Config` 和 `schema_extra` 为Pydantic模型声明一个示例，如<a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Pydantic 文档：定制 Schema </a>中所述:

//// tab | Python 3.10+

```Python hl_lines="13-21"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}

  // serving write operations, so that this field will be in sync with the reality.
  // +optional
  optional string commonEncodingVersion = 2;

  // The latest available observations of the storageVersion's state.
  // +optional
  // +listType=map
  // +listMapKey=type
  repeated StorageVersionCondition conditions = 3;

 stanConnection, _ = stan.Connect("test-cluster", "test-client", stan.NatsURL("nats://yourusername:yoursecret@0.0.0.0:4222"), stan.SetConnectionLostHandler(func(c stan.Conn, _ error) {
  go func() {
   for {
    // Reconnect if the connection is lost.
    if stanConnection == nil || stanConnection.NatsConn() == nil ||  !stanConnection.NatsConn().IsConnected() {

//// tab | Pydantic v2

In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

func (r *Reader) SetExpectedMax(expectedMax int64) {
	r.expectedMax = expectedMax
}

// AddChecksum will add checksum checks as specified in
// https://docs.aws.amazon.com/AmazonS3/latest/userguide/checking-object-integrity.html
// Returns ErrInvalidChecksum if a problem with the checksum is found.
func (r *Reader) AddChecksum(req *http.Request, ignoreValue bool) error {
	cs, err := GetContentChecksum(req.Header)

## Pydantic `Settings`

Por sorte, o Pydantic possui uma funcionalidade para lidar com essas configurações vindas de variáveis de ambiente utilizando <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Instalando `pydantic-settings`

Primeiro, instale o pacote `pydantic-settings`:

<div class="termy">