*
   * <p>For example:
   *
   * <pre>{@code
   * Streams.zip(
   *   Stream.of("foo1", "foo2", "foo3"),
   *   Stream.of("bar1", "bar2"),
   *   (arg1, arg2) -> arg1 + ":" + arg2)
   * }</pre>
   *
   * <p>will return {@code Stream.of("foo1:bar1", "foo2:bar2")}.
   *
   * <p>The resulting stream will only be as long as the shorter of the two input streams; if one

	fmt.Printf("Fields are: %q", bytes.Fields([]byte("  foo bar  baz   ")))
	// Output: Fields are: ["foo" "bar" "baz"]
}

func ExampleFieldsFunc() {
	f := func(c rune) bool {
		return !unicode.IsLetter(c) && !unicode.IsNumber(c)
	}
	fmt.Printf("Fields are: %q", bytes.FieldsFunc([]byte("  foo1;bar2,baz3..."), f))
	// Output: Fields are: ["foo1" "bar2" "baz3"]
}

func ExampleHasPrefix() {

        "tax": 10.5,
        "tags": [],
    }


@needs_py39
def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_py39
@needs_pydanticv2

import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A class that implements {@code Comparable} without generics, such as those found in libraries
 * that support Java 1.4 and before. Our library needs to do the bare minimum to accommodate such
 * types, though their use may still require an explicit type parameter and/or warning suppression.
 *
 * @author Kevin Bourrillion
 */

    required: true

-   type: textarea id: code-to-reproduce attributes: label: Standalone code to
    reproduce the issue description: Provide a reproducible test case that is
    the bare minimum necessary to generate the problem. If possible, please
    share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you
    see! value: render: shell validations: required: true

        "price": 50.2,
        "tax": 10.5,
        "tags": [],
    }


def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_pydanticv2

        "tax": 10.5,
        "tags": [],
    }


@needs_py310
def test_put(client: TestClient):
    response = client.put(
        "/items/bar", json={"name": "Barz", "price": 3, "description": None}
    )
    assert response.json() == {
        "name": "Barz",
        "description": None,
        "price": 3,
        "tax": 10.5,
        "tags": [],
    }


@needs_py310
@needs_pydanticv2

  @Test
  fun incrementalIndexingWithDynamicTableIndexedName() {
    hpackWriter!!.writeHeaders(headerEntries("foo", "bar"))
    assertBytes(0x40, 3, 'f'.code, 'o'.code, 'o'.code, 3, 'b'.code, 'a'.code, 'r'.code)
    assertThat(hpackWriter!!.headerCount).isEqualTo(1)
    hpackWriter!!.writeHeaders(headerEntries("foo", "bar1"))
    assertBytes(0x7e, 4, 'b'.code, 'a'.code, 'r'.code, '1'.code)
    assertThat(hpackWriter!!.headerCount).isEqualTo(2)

```Python hl_lines="28-33"
{!> ../../docs_src/body_updates/tutorial001_py310.py!}
```

////

`PUT` ⚙️ 📨 💽 👈 🔜 ❎ ♻ 💽.

### ⚠ 🔃 ❎

👈 ⛓ 👈 🚥 👆 💚 ℹ 🏬 `bar` ⚙️ `PUT` ⏮️ 💪 ⚗:

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

↩️ ⚫️ 🚫 🔌 ⏪ 🏪 🔢 `"tax": 20.2`, 🔢 🏷 🔜 ✊ 🔢 💲 `"tax": 10.5`.

& 📊 🔜 🖊 ⏮️ 👈 "🆕" `tax` `10.5`.

////

`PUT` используется для получения данных, которые должны полностью заменить существующие данные.

### Предупреждение о замене

Это означает, что если вы хотите обновить элемент `bar`, используя `PUT` с телом, содержащим:

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

поскольку оно не включает уже сохраненный атрибут `"tax": 20.2`, входная модель примет значение по умолчанию `"tax": 10.5`.