* Para passar um corpo JSON, passe um objeto Python (por exemplo, um `dict`) para o parâmetro `json`.
* Se você precisar enviar *Dados de Formulário* em vez de JSON, use o parâmetro `data`.
* Para passar *headers*, use um `dict` no parâmetro `headers`.
* Para *cookies*, um `dict` no parâmetro `cookies`.

}
```

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

/// info

app = FastAPI()


async def common_parameters(
    q: Union[str, None] = None, skip: int = 0, limit: int = 100
):
    return {"q": q, "skip": skip, "limit": limit}


CommonsDep = Annotated[dict, Depends(common_parameters)]


@app.get("/items/")
async def read_items(commons: CommonsDep):
    return commons


@app.get("/users/")
async def read_users(commons: CommonsDep):

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.it.admin.dict;

import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import static org.junit.jupiter.api.Assertions.fail;

import java.util.ArrayList;

import json
from typing import Any, Dict, Optional

from fastapi.encoders import jsonable_encoder
from starlette.responses import HTMLResponse
from typing_extensions import Annotated, Doc

swagger_ui_default_parameters: Annotated[
    Dict[str, Any],
    Doc(
        """
        Default configurations for Swagger UI.

        You can use it as a template to add any other configurations needed.
        """
    ),
] = {

def fake_password_hasher(raw_password: str):
    return "supersecret" + raw_password


def fake_save_user(user_in: UserIn):
    hashed_password = fake_password_hasher(user_in.password)
    user_in_db = UserInDB(**user_in.dict(), hashed_password=hashed_password)
    print("User saved! ..not really")
    return user_in_db


@app.post("/user/", response_model=UserOut)
async def create_user(user_in: UserIn):

⤴️ 👆 🎏 👆 💯.

🤶 Ⓜ.:

* 🚶‍♀️ *➡* ⚖️ *🔢* 🔢, 🚮 ⚫️ 📛 ⚫️.
* 🚶‍♀️ 🎻 💪, 🚶‍♀️ 🐍 🎚 (✅ `dict`) 🔢 `json`.
* 🚥 👆 💪 📨 *📨 💽* ↩️ 🎻, ⚙️ `data` 🔢 ↩️.
* 🚶‍♀️ *🎚*, ⚙️ `dict` `headers` 🔢.
*  *🍪*, `dict` `cookies` 🔢.

🌖 ℹ 🔃 ❔ 🚶‍♀️ 💽 👩‍💻 (⚙️ `httpx` ⚖️ `TestClient`) ✅ <a href="https://www.python-httpx.org" class="external-link" target="_blank">🇸🇲 🧾</a>.

    * Automated cherry-picks do not need subject-matter experts to approve if discussed in the original PR.
    * To trigger the bot cherry pick, either;
        * Apply the correct `cherrypick/release-X.XX` label to the PR, and the bot should pick it up.
        * Use an explicit PR comment command: `/cherry-pick release-X.XX`

# Classes como Dependências

Antes de nos aprofundarmos no sistema de **Injeção de Dependência**, vamos melhorar o exemplo anterior.

## `dict` do exemplo anterior

No exemplo anterior, nós retornávamos um `dict` da nossa dependência ("injetável"):

//// tab | Python 3.10+

```Python hl_lines="9"
{!> ../../docs_src/dependencies/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="11"

# Classes as Dependencies

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example

In the previous example, we were returning a `dict` from our dependency ("dependable"):

//// tab | Python 3.10+

```Python hl_lines="9"
{!> ../../docs_src/dependencies/tutorial001_an_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="11"