"tax": 3.2,
    "tags": [
        "rock",
        "metal",
        "bar"
    ],
    "images": [
        {
            "url": "http://example.com/baz.jpg",
            "name": "The Foo live"
        },
        {
            "url": "http://example.com/dave.jpg",
            "name": "The Baz"
        }
    ]
}
```

/// info | Інформація

### **4.1 Spark Pi**

Test the Spark installation by running the following compute intensive example, which calculates pi by “throwing darts” at a circle. The program generates points in the unit square ((0,0) to (1,1)) and counts how many points fall within the unit circle within the square. The result approximates pi.

Follow these steps to run the Spark Pi example:

- Login as user **‘spark’**.

If you want to return additional status codes apart from the main one, you can do that by returning a `Response` directly, like a `JSONResponse`, and set the additional status code directly.

For example, let's say that you want to have a *path operation* that allows to update items, and returns HTTP status codes of 200 "OK" when successful.

 * <p>
 * This annotation allows you to limit which types of a bean should be available
 * for injection. It can be used to prevent unintended automatic binding of implemented
 * interfaces or extended classes.
 * <p>
 * Example usage:
 * <pre>
 * {@literal @}Typed(ServiceImpl.class)
 * public class ServiceImpl implements Service {
 *     // Implementation
 * }
 * </pre>
 *
 * @since 4.0.0
 */
@Target({FIELD, METHOD, TYPE})

    mod = importlib.import_module(
        f"docs_src.query_params_str_validations.{request.param}"
    )
    client = TestClient(mod.app)
    return client


@pytest.mark.xfail(
    reason="Code example is not valid. See https://github.com/fastapi/fastapi/issues/12419"
)
def test_query_params_str_validations_no_query(client: TestClient):
    response = client.get("/items/")
    assert response.status_code == 200

///

## Déclarer des métadonnées

Vous pouvez déclarer les mêmes paramètres que pour `Query`.

Par exemple, pour déclarer une valeur de métadonnée `title` pour le paramètre de chemin `item_id`, vous pouvez écrire :

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[10] *}

/// note

    <modelVersion>4.0.0</modelVersion>

    <parent>
        <groupId>org.example</groupId>
        <artifactId>parent</artifactId>
        <version>0.0.1-SNAPSHOT</version>
        <relativePath>./parent-pom.xml</relativePath>
    </parent>

    <artifactId>child</artifactId>

  stale:
    permissions:
      pull-requests: write

    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v10
        with:
          operations-per-run: 50
          ascending: true
          exempt-all-milestones: true

          # ISSUES (deactivated) ----------------------------------------------
          # This workflow should touch no issues, so times are set to -1

redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored
on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB

////

## Read env vars in Python { #read-env-vars-in-python }

You could also create environment variables **outside** of Python, in the terminal (or with any other method), and then **read them in Python**.

For example you could have a file `main.py` with:

```Python hl_lines="3"
import os

name = os.getenv("MY_NAME", "World")
print(f"Hello {name} from Python")
```

/// tip