message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed
  // into subsequent WaitForAttach or Mount calls.

	// When FileNameFunc is not specified, DefaultFilenameFunc will be used.
	FileNameFunc func() string

	// Compress specify if you want the logs to be compressed after rotation.
	Compress bool
}

// Writer is a concurrency-safe writer with file rotation.
type Writer struct {
	// opts are the configuration options for this Writer
	opts Options

	// f is the currently open file used for appends.

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):

## Pydantic

모든 데이터 검증은 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>에 의해 내부적으로 수행되므로 이로 인한 이점을 모두 얻을 수 있습니다. 여러분은 관리를 잘 받고 있음을 느낄 수 있습니다.

`str`, `float`, `bool`, 그리고 다른 여러 복잡한 데이터 타입 선언을 할 수 있습니다.

이 중 몇 가지는 자습서의 다음 장에 설명되어 있습니다.

## 순서 문제

*경로 작동*을 만들때 고정 경로를 갖고 있는 상황들을 맞닥뜨릴 수 있습니다.

`/users/me`처럼, 현재 사용자의 데이터를 가져온다고 합시다.

	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/logger/target/http"
	"github.com/minio/minio/internal/logger/target/kafka"
)

// Console logger target
type Console struct {
	Enabled bool `json:"enabled"`
}

// Audit/Logger constants
const (
	Endpoint      = "endpoint"
	AuthToken     = "auth_token"
	ClientCert    = "client_cert"
	ClientKey     = "client_key"
	BatchSize     = "batch_size"

// f is also responsible for closing w.
func generatesZip64(t *testing.T, f func(w *Writer)) bool {
	ss := &suffixSaver{keep: 10 << 20}
	w := NewWriter(ss)
	f(w)
	return suffixIsZip64(t, ss)
}

type sizedReaderAt interface {
	io.ReaderAt
	Size() int64
}

func suffixIsZip64(t *testing.T, zip sizedReaderAt) bool {
	d := make([]byte, 1024)
	if _, err := zip.ReadAt(d, zip.Size()-int64(len(d))); err != nil {

Python biedt ondersteuning voor optionele "type hints" (ook wel "type annotaties" genoemd).

Deze **"type hints"** of annotaties zijn een speciale syntax waarmee het <abbr title="bijvoorbeeld: str, int, float, bool">type</abbr> van een variabele kan worden gedeclareerd.

Door types voor je variabelen te declareren, kunnen editors en hulpmiddelen je beter ondersteunen.

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 hl_lines="16"
{!> ../../docs_src/body/tutorial004_py310.py!}
```

////

🔢 🔢 🔜 🤔 ⏩:

* 🚥 🔢 📣 **➡**, ⚫️ 🔜 ⚙️ ➡ 🔢.
* 🚥 🔢 **⭐ 🆎** (💖 `int`, `float`, `str`, `bool`, ♒️) ⚫️ 🔜 🔬 **🔢** 🔢.
* 🚥 🔢 📣 🆎 **Pydantic 🏷**, ⚫️ 🔜 🔬 📨 **💪**.

/// note

FastAPI 🔜 💭 👈 💲 `q` 🚫 ✔ ↩️ 🔢 💲 `= None`.

		bucketName string
		accessKey  string
		secretKey  string
		// expected Response.
		expectedRespStatus int
		locationResponse   []byte
		errorResponse      APIErrorResponse
		shouldPass         bool
	}{
		// Test case - 1.
		// Tests for authenticated request and proper response.
		{
			bucketName:         bucketName,
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,