// cases which should pass the test.
		// passing in valid object name.
		{"object", 37},
		{"The Shining Script <v1>.pdf", 38},
		{"Cost Benefit Analysis (2009-2010).pptx", 59},
		{"117Gn8rfHL2ACARPAhaFd0AGzic9pUbIA/5OCn5A", 35},
		{"SHØRT", 49},
		{"There are far too many object names, and far too few bucket names!", 8},
		{"a/b/c/", 159},
		{"/a/b/c", 96},
		{string([]byte{0xff, 0xfe, 0xfd}), 147},
	}

Zum Beispiel deklariert das obige Modell ein JSON "`object`" (oder Python-`dict`) wie dieses:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Da `description` und `tax` optional sind (mit `None` als Defaultwert), wäre folgendes JSON "`object`" auch gültig:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

    assertMinSize(union(setSizeRange(11, 12), setSizeRange(10, 20)), 11);
  }

  public void testUnion_maxSize() {
    assertMaxSize(union(emptySet(), emptySet()), 0);
    assertMaxSize(union(setSize(2), setSize(3)), 5);
    assertMaxSize(union(setSize(3), setSize(2)), 5);
    assertMaxSize(union(setSizeRange(10, 20), setSizeRange(11, 12)), 32);
    assertMaxSize(union(setSizeRange(11, 12), setSizeRange(10, 20)), 32);
  }

🖼, 👉 🏷 🔛 📣 🎻 "`object`" (⚖️ 🐍 `dict`) 💖:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

... `description` & `tax` 📦 (⏮️ 🔢 💲 `None`), 👉 🎻 "`object`" 🔜 ☑:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## 📣 ⚫️ 🔢

   * <p>For example, if {@code rangeMap} had the entries {@code [1, 5] => "foo", (6, 8) => "bar",
   * (10, ∞) => "baz"} then {@code rangeMap.subRangeMap(Range.open(3, 12))} would return a range map
   * with the entries {@code (3, 5] => "foo", (6, 8) => "bar", (10, 12) => "baz"}.
   *
   * <p>The returned range map supports all optional operations that this range map supports, except
   * for {@code asMapOfRanges().iterator().remove()}.
   *

Par exemple, le modèle ci-dessus déclare un "objet" JSON (ou `dict` Python) tel que :

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...`description` et `tax` étant des attributs optionnels (avec `None` comme valeur par défaut), cet "objet" JSON serait aussi valide :

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

For example, this model above declares a JSON "`object`" (or Python `dict`) like:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...as `description` and `tax` are optional (with a default value of `None`), this JSON "`object`" would also be valid:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

Por exemplo, o modelo acima declara um JSON "`object`" (ou `dict` no Python) como esse:

```JSON
{
    "name": "Foo",
    "description": "Uma descrição opcional",
    "price": 45.2,
    "tax": 3.5
}
```

...como `description` e `tax` são opcionais (Com um valor padrão de `None`), esse JSON "`object`" também é válido:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

        ImmutableSet.of(1, 2, 3),
        set.intersection(ContiguousSet.create(Range.open(-1, 4), integers())));
    assertEquals(
        ImmutableSet.of(3), set.intersection(ContiguousSet.create(Range.closed(3, 5), integers())));
  }

  public void testAsList() {
    ImmutableList<Integer> list = ContiguousSet.create(Range.closed(1, 3), integers()).asList();
    for (int i = 0; i < 3; i++) {

### Pydanticの`update`パラメータ

ここで、`.copy()`を用いて既存のモデルのコピーを作成し、`update`パラメータに更新するデータを含む`dict`を渡すことができます。

`stored_item_model.copy(update=update_data)`のように:

{* ../../docs_src/body_updates/tutorial002.py hl[35] *}

### 部分的更新のまとめ

まとめると、部分的な更新を適用するには、次のようにします:

* (オプションで)`PUT`の代わりに`PATCH`を使用します。
* 保存されているデータを取得します。
* そのデータをPydanticモデルにいれます。
* 入力モデルからデフォルト値を含まない`dict`を生成します（`exclude_unset`を使用します）。