`PUT` se usa para recibir datos que deben reemplazar los datos existentes.

### Advertencia sobre el reemplazo { #warning-about-replacing }

Esto significa que si quieres actualizar el ítem `bar` usando `PUT` con un body que contenga:

```Python
{
    "name": "Barz",
    "price": 3,
    "description": None,
}
```

			buf.WriteByte('.')
		}
		buf.WriteString(input.Text())
	}
}

type badLexTest struct {
	input string
	error string
}

var badLexTests = []badLexTest{
	{
		"3 #define foo bar\n",
		"'#' must be first item on line",
	},
	{
		"#ifdef foo\nhello",
		"unclosed #ifdef or #ifndef",
	},
	{
		"#ifndef foo\nhello",
		"unclosed #ifdef or #ifndef",
	},
	{

	if !bytes.Contains(buf.Bytes(), []byte("PaxHeaders.0")) {
		t.Fatal("Expected at least one PAX header to be written.")
	}

	// xattr bar should always appear before others
	indices := []int{
		bytes.Index(buf.Bytes(), []byte("bar=bar")),
		bytes.Index(buf.Bytes(), []byte("baz=baz")),
		bytes.Index(buf.Bytes(), []byte("foo=foo")),
		bytes.Index(buf.Bytes(), []byte("qux=qux")),
	}

///

#### デフォルト値を持つフィールドの値を持つデータ

しかし、ID`bar`のitemのように、デフォルト値が設定されているモデルのフィールドに値が設定されている場合:

```Python hl_lines="3 5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

それらはレスポンスに含まれます。

#### デフォルト値と同じ値を持つデータ

    * `pip install -U "tensorflow==1.*"`

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable
_current_module = _sys.modules[__name__]

In Python 3.10 there's also a **new syntax** where you can put the possible types separated by a <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr>.

//// tab | Python 3.10+

```Python hl_lines="1"
{!> ../../docs_src/python_types/tutorial008b_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="1  4"

#### Daten mit Werten für Felder mit Defaultwerten { #data-with-values-for-fields-with-defaults }

Aber wenn Ihre Daten Werte für Modellfelder mit Defaultwerten haben, wie etwa der Artikel mit der ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

dann werden diese Werte in der Response enthalten sein.

Because we are passing it as a **value to an argument** instead of putting it in a **type annotation**, we have to use `Union` even in Python 3.10.

If it was in a type annotation we could have used the vertical bar, as:

```Python
some_variable: PlaneItem | CarItem
```

	}

	tests := []struct {
		pkg  string
		want bool
	}{
		{"net/http", true},
		{"net/http/internal-foo", true},
		{"net/http/internal", false},
		{"net/http/internal/bar", false},
		{"internal/foo", false},
		{"internal", false},
	}
	for _, tt := range tests {
		got := !internalPkg.MatchString(tt.pkg)
		if got != tt.want {

## Создаём экземпляр { #create-an-instance }

Мы можем создать экземпляр этого класса так:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[18] *}

Так мы «параметризуем» нашу зависимость: теперь внутри неё хранится "bar" в атрибуте `checker.fixed_content`.

## Используем экземпляр как зависимость { #use-the-instance-as-a-dependency }