private Proxy proxy;

    private List<ArtifactRepository> mirroredRepositories = Collections.emptyList();

    private boolean blocked;

    public MavenArtifactRepository() {}

    /**
     * Create a remote download repository.
     *
     * @param id        the unique identifier of the repository
     * @param url       the URL of the repository
     * @param layout    the layout of the repository

Las variables de entorno pueden ser útiles para manejar **configuraciones** de aplicaciones, como parte de la **instalación** de Python, etc.

## Crear y Usar Variables de Entorno { #create-and-use-env-vars }

Puedes **crear** y usar variables de entorno en la **shell (terminal)**, sin necesidad de Python:

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console

	}
	return paths
}

// string concat alternative to s1 + s2 with low overhead.
func concat(ss ...string) string {
	length := len(ss)
	if length == 0 {
		return ""
	}
	// create & allocate the memory in advance.
	n := 0
	for i := range length {
		n += len(ss[i])
	}
	b := make([]byte, 0, n)
	for i := range length {
		b = append(b, ss[i]...)
	}

                copiedRestrictions.addAll(restrictions);
            }
        }

        return new VersionRange(recommendedVersion, copiedRestrictions);
    }

    /**
     * <p>
     * Create a version range from a string representation
     * </p>
     * Some spec examples are:
     * <ul>
     * <li><code>1.0</code> Version 1.0 as a recommended version</li>

						}
					}
					association.Error = association.DB.Session(&Session{
						NewDB: true,
					}).Model(child.Interface()).Create(mapv.Interface()).Error
				case schema.Many2Many:
					association.Error = association.DB.Session(&Session{
						NewDB: true,
					}).Model(child.Interface()).Create(mapv.Interface()).Error

					for _, key := range mapv.MapKeys() {
						k := strings.ToLower(key.String())

#### Pydantic's `.model_dump()` { #pydantics-model-dump }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

	// Collect() call. This is protected by the `bucketsLock`.
	bucketsLock sync.Mutex
	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//
// The `loader` function loads metrics from the cache and the system.

## Ein TypeScript-SDK erstellen { #create-a-typescript-sdk }

Beginnen wir mit einer einfachen FastAPI-Anwendung:

{* ../../docs_src/generate_clients/tutorial001_py39.py hl[7:9,12:13,16:17,21] *}

## Crie um SDK em TypeScript { #create-a-typescript-sdk }

Vamos começar com uma aplicação FastAPI simples:

{* ../../docs_src/generate_clients/tutorial001_py39.py hl[7:9,12:13,16:17,21] *}

The `security_scopes` object (of class `SecurityScopes`) also provides a `scope_str` attribute with a single string, containing those scopes separated by spaces (we are going to use it).

We create an `HTTPException` that we can reuse (`raise`) later at several points.