raise


@app.get("/items/{item_id}")
def get_item(item_id: str, username: Annotated[str, Depends(get_username)]):
    if item_id == "portal-gun":
        raise InternalError(
            f"The portal gun is too dangerous to be owned by {username}"
        )
    if item_id != "plumbus":
        raise HTTPException(
            status_code=404, detail="Item not found, there's only a plumbus here"
        )

                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item"><la:link href="/admin/wizard/">
                                <la:message key="labels.wizard_start_title"/>
                            </la:link></li>
                            <li class="breadcrumb-item active"><la:message
                                    key="labels.wizard_crawling_config_title"/></li>

✋️ 👉 🦮 🎦 👆, 🌖 ⚖️ 🌘, ❔ 👫 🎯 ⚙️.

///

### ⚙️ Pydantic `exclude_unset` 🔢

🚥 👆 💚 📨 🍕 ℹ, ⚫️ 📶 ⚠ ⚙️ 🔢 `exclude_unset` Pydantic 🏷 `.dict()`.

💖 `item.dict(exclude_unset=True)`.

👈 🔜 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ 🕐❔ 🏗 `item` 🏷, 🚫 🔢 💲.

⤴️ 👆 💪 ⚙️ 👉 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ (📨 📨), 🚫 🔢 💲:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}

Если необходимо выполнить частичное обновление, то очень полезно использовать параметр `exclude_unset` в методе `.dict()` модели Pydantic.

Например, `item.dict(exclude_unset=True)`.

    return client


def test_get_no_item(client: TestClient):
    response = client.get("/items/foo")
    assert response.status_code == 404, response.text
    assert response.json() == {"detail": "Item not found, there's only a plumbus here"}


def test_get(client: TestClient):
    response = client.get("/items/plumbus")
    assert response.status_code == 200, response.text
    assert response.json() == "plumbus"

		VersioningConfigUpdatedAt: now,
		LifecycleConfigUpdatedAt:  now,
		lifecycleConfig:           &lc,
		versioningConfig:          &vcfg,
	}
	globalBucketMetadataSys.Set(bucket, meta)
	item := scannerItem{
		Path:       obj,
		bucket:     bucket,
		prefix:     "",
		objectName: obj,
		lifeCycle:  &lc,
	}

	modTime := time.Now()
	uuids := make([]uuid.UUID, 5)
	for i := range uuids {

Observa que la variable `item` es unos de los elementos en la lista `items`.

El editor aún sabe que es un `str` y provee soporte para ello.

#### Tuples y Sets

Harías lo mismo para declarar `tuple`s y `set`s:

```Python hl_lines="1  4"
{!../../docs_src/python_types/tutorial007.py!}
```

Esto significa:

* La variable `items_t` es un `tuple` con 3 ítems, un `int`, otro `int`, y un `str`.

		if r.err != nil {
			return nil, r.err
		}
		// Move to next block
		item, ok := <-r.queue
		if !ok {
			r.err = io.EOF
			return nil, r.err
		}
		//nolint:staticcheck // SA6002 Using pointer would allocate more since we would have to copy slice header before taking a pointer.
		r.csvDstPool.Put(r.current)
		r.current = <-item.dst
		r.err = item.err
		r.recordsRead = 0
	}
	csvRecord := r.current[r.recordsRead]

    return client


def test_get_no_item(client: TestClient):
    response = client.get("/items/foo")
    assert response.status_code == 404, response.text
    assert response.json() == {"detail": "Item not found, there's only a plumbus here"}


def test_get(client: TestClient):
    response = client.get("/items/plumbus")
    assert response.status_code == 200, response.text
    assert response.json() == "plumbus"

                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__item_id__put",
                    "parameters": [
                        {
                            "required": True,
                            "schema": {
                                "title": "Item Id",
                                "type": "string",