文件和表单字段作为表单数据上传与接收。

声明文件可以使用 `bytes` 或 `UploadFile` 。

/// warning | 警告

可在一个*路径操作*中声明多个 `File` 与 `Form` 参数，但不能同时声明要接收 JSON 的 `Body` 字段。因为此时请求体的编码为 `multipart/form-data`，不是 `application/json`。

这不是 **FastAPI** 的问题，而是 HTTP 协议的规定。

///

## 小结

            // sge.setLength(data.remaining());
            // sge.setLkey(disniRegion.getLocalKey());
            // sgeList.add(sge);
            //
            // sendWR.setSg_list(sgeList);
            // endpoint.postSend(Arrays.asList(sendWR)).execute().free();

            log.debug("DiSNI RDMA send completed, {} bytes", data.remaining());

        } catch (Exception e) {

        )
    try:
        data = dict(obj)
    except Exception as e:
        errors: list[Exception] = []
        errors.append(e)
        try:
            data = vars(obj)
        except Exception as e:
            errors.append(e)
            raise ValueError(errors) from e
    return jsonable_encoder(
        data,
        include=include,
        exclude=exclude,

Como o **FastAPI** é baseado no padrão **ASGI**, é muito fácil integrar qualquer biblioteca **GraphQL** também compatível com ASGI.

Você pode combinar *operações de rota* normais do FastAPI com GraphQL na mesma aplicação.

/// tip | Dica

**GraphQL** resolve alguns casos de uso muito específicos.

Ele tem **vantagens** e **desvantagens** quando comparado a **web APIs** comuns.

// used for multi-destination targets
func (d Destination) TargetArn() bool {
	return strings.HasPrefix(d.ARN, DestinationARNMinIOPrefix)
}

// MarshalXML - encodes to XML data.
func (d Destination) MarshalXML(e *xml.Encoder, start xml.StartElement) error {
	if err := e.EncodeToken(start); err != nil {
		return err
	}

## Verify the `username` and data shape { #verify-the-username-and-data-shape }

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

		recordDelimiter string
		fieldDelimiter  string
		header          bool
		wantColumns     []string
		wantTenFields   string
		totalFields     int
	}{
		{
			file:            "nyc-taxi-data-100k.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			header:          true,

    }

    val padding = if (flags and FLAG_PADDED != 0) source.readByte() and 0xff else 0
    val dataLength = lengthWithoutPadding(length, flags, padding)

    handler.data(inFinished, streamId, source, dataLength)
    source.skip(padding.toLong())
  }

  @Throws(IOException::class)
  private fun readPriority(
    handler: Handler,
    length: Int,
    flags: Int,

## Dieselben Eingabedaten zurückgeben { #return-the-same-input-data }

Im Folgenden deklarieren wir ein `UserIn`-Modell; es enthält ein Klartext-Passwort:

{* ../../docs_src/response_model/tutorial002_py310.py hl[7,9] *}

/// info | Info

view MinIO SDKs for supported languages. > NOTE: To deploy MinIO on with persistent storage, you must map local persistent directories from the host OS to the container using the `podman -v` option. For example, `-v /mnt/data:/data` maps the host OS drive at `/mnt/data` to `/data` on the container. ## macOS Use the following commands to run a standalone MinIO server on macOS. Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object...