* `bytes`:
    * Встроенный в Python `bytes`.
    * В запросах и ответах будет рассматриваться как `str`.
    * В сгенерированной схеме будет указано, что это `str` в формате `binary`.
* `Decimal`:
    * Встроенный в Python `Decimal`.
    * В запросах и ответах обрабатывается так же, как и `float`.

                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {
                        "detail": {
                            "title": "Detail",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/ValidationError"},
                        }
                    },

                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {
                        "detail": {
                            "title": "Detail",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/ValidationError"},
                        }
                    },

```JSON
{
  "detail": "Item not found"
}
```

/// tip | "Dica"

Quando você lançar um `HTTPException`, você pode passar qualquer valor convertível em JSON como parâmetro de `detail`, e não apenas `str`.

Você pode passar um `dict` ou um `list`, etc.

* `bytes`:
    * Standard-Python-`bytes`.
    * In Requests und Responses werden sie als `str` behandelt.
    * Das generierte Schema wird anzeigen, dass es sich um einen `str` mit `binary` „Format“ handelt.
* `Decimal`:
    * Standard-Python-`Decimal`.
    * In Requests und Responses wird es wie ein `float` behandelt.

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/*
 * SipHash-c-d was designed by Jean-Philippe Aumasson and Daniel J. Bernstein and is described in
 * "SipHash: a fast short-input PRF" (available at https://131002.net/siphash/siphash.pdf).
 */

package com.google.common.hash;

items = {"foo": "The Foo Wrestlers"}


@app.get("/items-header/{item_id}")
async def read_item_header(item_id: str):
    if item_id not in items:
        raise HTTPException(
            status_code=404,
            detail="Item not found",
            headers={"X-Error": "There goes my error"},
        )

        * 📨, `set` 🔜 🗜 `list`.
        * 🏗 🔗 🔜 ✔ 👈 `set` 💲 😍 (⚙️ 🎻 🔗 `uniqueItems`).
* `bytes`:
    * 🐩 🐍 `bytes`.
    * 📨 & 📨 🔜 😥 `str`.
    * 🏗 🔗 🔜 ✔ 👈 ⚫️ `str` ⏮️ `binary` "📁".
* `Decimal`:
    * 🐩 🐍 `Decimal`.
    * 📨 & 📨, 🍵 🎏 `float`.
* 👆 💪 ✅ 🌐 ☑ Pydantic 📊 🆎 📥: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 📊 🆎</a>.

## 🖼

                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {
                        "detail": {
                            "title": "Detail",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/ValidationError"},
                        }
                    },

                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {
                        "detail": {
                            "title": "Detail",
                            "type": "array",
                            "items": {"$ref": "#/components/schemas/ValidationError"},
                        }
                    },