fun bodyGet204() {
    setLevel(Level.BODY)
    bodyGetNoBody(204)
  }

  @Test
  fun bodyGet205() {
    setLevel(Level.BODY)
    bodyGetNoBody(205)
  }

  private fun bodyGetNoBody(code: Int) {
    server.enqueue(
      MockResponse
        .Builder()
        .status("HTTP/1.1 $code No Content")
        .build(),
    )
    val response = client.newCall(request().build()).execute()

	name   string
	method string
	path   string
	query  map[string]string

	// User credentials and policy for request
	policy string
	asRoot bool

	// Wanted in response.
	wantStatusCode int
	wantKeyNames   []string
	wantResp       []string
}

func TestKMSHandlersCreateKey(t *testing.T) {
	adminTestBed, tearDown := setupKMSTest(t, true)
	defer tearDown()

	tests := []kmsTestCase{

		t.Error("Raw sql to update records")
	}

	DB.Exec("update users set age=? where name = ?", gorm.Expr("age * ? + ?", 2, 10), "jinzhu-raw")

	var age int
	DB.Raw("select sum(age) from users where name = ?", "jinzhu-raw").Scan(&age)

	if age != ((1+10+20)*2 + 30) {
		t.Errorf("Invalid age, got %v", age)
	}
}

func TestRowsWithGroup(t *testing.T) {

{* ../../docs_src/query_params_str_validations/tutorial013_an_py39.py hl[9] *}

/// note | Nota

Ten en cuenta que en este caso, FastAPI no comprobará el contenido de la lista.

Por ejemplo, `List[int]` comprobaría (y documentaría) que el contenido de la lista son enteros. Pero `list` sola no lo haría.

///

## Declarar más metadatos

Puedes agregar más información sobre el parámetro.

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...`def`를 사용하는 대신:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

from fastapi import FastAPI

app = FastAPI()


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


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

### 📁

🔜 🎏 🏗 📁 ✍ 📁 `Dockerfile` ⏮️:

```{ .dockerfile .annotate }
# (1)
FROM python:3.9

# (2)

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

		exportContent[k] = []byte(v)
	}

	var importContent []byte
	{
		var b bytes.Buffer
		zipWriter := zip.NewWriter(&b)
		rawDataFn := func(r io.Reader, filename string, sz int) error {
			header, zerr := zip.FileInfoHeader(dummyFileInfo{
				name:    filename,
				size:    int64(sz),
				mode:    0o600,
				modTime: time.Now(),
				isDir:   false,
				sys:     nil,
			})

    @Override
    public boolean apply(@Nullable Integer i) {
      return (i.intValue() & 1) == 1;
    }

    @Override
    public int hashCode() {
      return 0x150dd;
    }

    @Override
    public boolean equals(@Nullable Object obj) {
      return obj instanceof IsOdd;
    }

    @Override
    public String toString() {

    assertThat(recordedRequest.bodySize).isEqualTo(1048576)
    assertThat(recordedRequest.chunkSizes).isNull()
  }

  private fun upload(
    chunked: Boolean,
    size: Int,
    writeSize: Int,
  ) {
    server.enqueue(MockResponse())
    executeSynchronously(
      Request(
        url = server.url("/"),
        body = requestBody(chunked, size.toLong(), writeSize),
      ),