"name": "The Foo live"
    }
}
```

再一次，仅仅进行这样的声明，你将通过 **FastAPI** 获得：

* 对被嵌入的模型也适用的编辑器支持（自动补全等）
* 数据转换
* 数据校验
* 自动生成文档

## 特殊的类型和校验

除了普通的单一值类型（如 `str`、`int`、`float` 等）外，你还可以使用从 `str` 继承的更复杂的单一值类型。

要了解所有的可用选项，请查看关于 <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">来自 Pydantic 的外部类型</a> 的文档。你将在下一章节中看到一些示例。

# CL 101750048 math: implement Nextafter32, Robert Griesemer <******@****.***>
pkg math, func Nextafter32(float32, float32) float32

# CL 93550043 math/big: implement Rat.Float32, Robert Griesemer <******@****.***>
pkg math/big, method (*Rat) Float32() (float32, bool)

# CL 76540043 net/http: add BasicAuth method to *http.Request, Kelsey Hightower <******@****.***>

	"github.com/tinylib/msgp/msgp"
)

// DecodeMsg implements msgp.Decodable
func (z *Flags) DecodeMsg(dc *msgp.Reader) (err error) {
	{
		var zb0001 uint8
		zb0001, err = dc.ReadUint8()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = Flags(zb0001)
	}
	return
}

// EncodeMsg implements msgp.Encodable
func (z Flags) EncodeMsg(en *msgp.Writer) (err error) {
	err = en.WriteUint8(uint8(z))

	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {
		metricsLogIf(ctx, err)
	} else {
		m.Set(configStandardParity, float64(clusterDriveMetrics.storageInfo.Backend.StandardSCParity))
		m.Set(configRRSParity, float64(clusterDriveMetrics.storageInfo.Backend.RRSCParity))
	}

	return nil

```Python hl_lines="4  9-12  25-27"
from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

Python hat Unterstützung für optionale „Typhinweise“ (Englisch: „Type Hints“). Auch „Typ Annotationen“ genannt.

Diese **„Typhinweise“** oder -Annotationen sind eine spezielle Syntax, die es erlaubt, den <abbr title="Zum Beispiel: str, int, float, bool">Typ</abbr> einer Variablen zu deklarieren.

Durch das Deklarieren von Typen für Ihre Variablen können Editoren und Tools bessere Unterstützung bieten.

	}
	m.init = true
	m.singleResp = true
	msg := message{
		Op:         OpRequest,
		MuxID:      m.MuxID,
		Handler:    h,
		Flags:      m.BaseFlags | FlagEOF,
		Payload:    req,
		DeadlineMS: uint32(m.deadline.Milliseconds()),
	}
	if m.subroute != nil {
		msg.Flags |= FlagSubroute
	}
	ch := make(chan Response, 1)
	m.respMu.Lock()
	if m.closed {
		m.respMu.Unlock()
		return nil, ErrDisconnected
	}

import (
	"io"
	"os"
)

// AppendFile - appends the file "src" to the file "dst"
func AppendFile(dst string, src string, osync bool) error {
	flags := os.O_WRONLY | os.O_APPEND | os.O_CREATE
	if osync {
		flags |= os.O_SYNC
	}
	appendFile, err := os.OpenFile(dst, flags, 0o666)
	if err != nil {
		return err
	}
	defer appendFile.Close()

	srcFile, err := os.Open(src)
	if err != nil {
		return err
	}

# pylint: disable=g-bad-import-order
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import

from tensorflow.python.platform import flags  # pylint: disable=g-import-not-at-top
from tensorflow.python.platform import app  # pylint: disable=g-import-not-at-top
app.flags = flags

# These symbols appear because we import the python package which
# in turn imports from tensorflow.core and tensorflow.python. They

	case model.Vector:
		if v.Len() < 1 {
			log.Debugf("no values for query: %s", query)
			return 0, nil
		}

		return float64(v[0].Value), nil
	default:
		return 0, errors.New("bad metric value type returned for query")
	}
}

func convertLatencyToDuration(val float64) time.Duration {
	return time.Duration(val) * time.Millisecond
}

func printHeader(writer io.Writer) {