Você pode usar as mesmas declarações de tipo com `str`, `float`, `bool` e muitos outros tipos de dados complexos.

Vários deles são explorados nos próximos capítulos do tutorial.

## A ordem importa { #order-matters }

	dataBlocks                   int
	onDisks, offDisks            int
	blocksize, data              int64
	offset                       int
	algorithm                    BitrotAlgorithm
	shouldFail, shouldFailQuorum bool
}{
	{dataBlocks: 2, onDisks: 4, offDisks: 0, blocksize: int64(blockSizeV2), data: oneMiByte, offset: 0, algorithm: BLAKE2b512, shouldFail: false, shouldFailQuorum: false},                             // 0

///

/// note | 笔记

因为默认值为 `= None`，FastAPI 把 `q` 识别为可选参数。

FastAPI 不使用 `Optional[str]` 中的 `Optional`（只使用 `str`），但 `Optional[str]` 可以帮助编辑器发现代码中的错误。

///

## 查询参数类型转换

参数还可以声明为 `bool` 类型，FastAPI 会自动转换参数类型：


{* ../../docs_src/query_params/tutorial003_py310.py hl[7] *}

本例中，访问：

```
http://127.0.0.1:8000/items/foo?short=1
```

或

```

                "count": count,
                "avatarUrl": author.avatarUrl,
                "url": author.url,
            }
    return users


def update_content(*, content_path: Path, new_content: Any) -> bool:
    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:

	var csvRecord []string
	for _, kv := range r.KVS {
		var columnValue string
		switch val := kv.Value.(type) {
		case float64:
			columnValue = jsonFloat(val)
		case string:
			columnValue = val
		case bool, int64:
			columnValue = fmt.Sprintf("%v", val)
		case nil:
			columnValue = ""
		case RawJSON:
			columnValue = string([]byte(val))
		case []any:
			b, err := json.Marshal(val)
			if err != nil {

		if err != nil {
			// Can't fit into int, convert to float.
			v, err := iter.Float()
			return sql.FromFloat(v), err
		}
		return sql.FromInt(v), nil
	case simdjson.TypeBool:
		v, err := iter.Bool()
		if err != nil {
			return nil, err
		}
		return sql.FromBool(v), nil
	case simdjson.TypeNull:
		return sql.FromNull(), nil
	case simdjson.TypeObject, simdjson.TypeArray:
		b, err := iter.MarshalJSON()

	// Create new HTTP listener.
	var listener *httpListener
	listener, listenErrs := newHTTPListener(
		listenCtx,
		srv.Addrs,
		srv.TCPOptions,
	)

	var interfaceFound bool
	for i := range listenErrs {
		if listenErrs[i] != nil {
			listenErrCallback(srv.Addrs[i], listenErrs[i])
		} else {
			interfaceFound = true
		}
	}
	if !interfaceFound {

//
//	e.g. Send the log to a http server
type Target interface {
	String() string
	Endpoint() string
	Stats() types.TargetStats
	Init(ctx context.Context) error
	IsOnline(ctx context.Context) bool
	Cancel()
	Send(ctx context.Context, entry any) error
	Type() types.TargetType
}

type targetsList struct {
	list []Target
	mu   sync.RWMutex
}

func newTargetsList() *targetsList {

minio server ~/test
```

Create new users following the multi-user guide [here](https://docs.min.io/community/minio-object-store/administration/identity-access-management.html)

### Testing an example with awscli tool

> Use the same username and password created in the previous steps.

```
[foobar]
region = us-east-1
aws_access_key_id = foobar
aws_secret_access_key = foo12345
```

Les paramètres de la fonction seront reconnus comme tel :

* Si le paramètre est aussi déclaré dans le **chemin**, il sera utilisé comme paramètre de chemin.
* Si le paramètre est d'un **type singulier** (comme `int`, `float`, `str`, `bool`, etc.), il sera interprété comme un paramètre de **requête**.
* Si le paramètre est déclaré comme ayant pour type un **modèle Pydantic**, il sera interprété comme faisant partie du **corps** de la requête.

/// note