// ===================================================================================
    //                                                                            Variable
    //

    protected SearchRequestParamsRewriter[] searchRequestParamsRewriters = {};

    // ===================================================================================

    public static final String MAVEN_REPO_LOCAL = "maven.repo.local";

    /**
     * Maven central repository URL.
     * The property will have the value of the <code>MAVEN_REPO_CENTRAL</code>
     * environment variable if it is defined.
     *
     * @since 4.0.0
     */
    @Config(defaultValue = "https://repo.maven.apache.org/maven2")
    public static final String MAVEN_REPO_CENTRAL = "maven.repo.central";

    /**

$rfs-rem-value}rem, #{$fs-min}px);\n\n      // If two-dimensional, use smallest of screen width and height\n      $variable-unit: if($rfs-two-dimensional, vmin, vw);\n\n      // Calculate the variable width between 0 and $rfs-breakpoint\n      $variable-width: #{$fs-diff * 100 / $rfs-breakpoint}#{$variable-unit};\n\n      // Set the calculated font-size.\n      $rfs-fluid: calc(#{$min-width} + #{$variable-width}) #{$rfs-suffix};\n    }\n\n    // Rendering\n    @if $rfs-fluid == null {\n      // Only render static...

Escribes Python estándar con tipos así:

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str
# y obtienes soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date

            options.addOption(Option.builder()
                    .longOpt(FORCE_INTERACTIVE)
                    .desc(
                            "Run in interactive mode. Overrides, if applicable, the CI environment variable and --non-interactive/--batch-mode options")
                    .build());
            options.addOption(Option.builder(ALTERNATE_USER_SETTINGS)
                    .longOpt("settings")

///

### Step 2: create a `FastAPI` "instance"

{* ../../docs_src/first_steps/tutorial001.py hl[3] *}

Here the `app` variable will be an "instance" of the class `FastAPI`.

This will be the main point of interaction to create all your API.

### Step 3: create a *path operation*

#### Path

Sie schreiben Standard-Python mit Typen:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str

You write standard Python with types:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

  }

  public void testWildcardSubtypes() throws Exception {
    new WildcardSubtypingTests().testAllDeclarations();
  }

  /**
   * This test reproduces the bug in canonicalizeWildcardType() when the type variable is
   * recursively bounded.
   */
  public void testRecursiveWildcardSubtypeBug() throws Exception {
    Exception e =
        assertThrows(

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

Da wir jedoch `Annotated` verwenden, können wir diesen `Annotated`-Wert in einer Variablen speichern und an mehreren Stellen verwenden:

//// tab | Python 3.10+

```Python hl_lines="12  16  21"
{!> ../../docs_src/dependencies/tutorial001_02_an_py310.py!}
```

////