///

### Crear el objeto `Settings` { #create-the-settings-object }

Importa `BaseSettings` de Pydantic y crea una sub-clase, muy similar a un modelo de Pydantic.

De la misma forma que con los modelos de Pydantic, declaras atributos de clase con anotaciones de tipos, y posiblemente, valores por defecto.

We also declare a special parameter of type `SecurityScopes`, imported from `fastapi.security`.

This `SecurityScopes` class is similar to `Request` (`Request` was used to get the request object directly).

{* ../../docs_src/security/tutorial005_an_py310.py hl[9,106] *}

## Use the `scopes` { #use-the-scopes }

// 500 Internal Server Error.
type BucketMetricsLoaderFn func(context.Context, MetricValues, *metricsCache, []string) error

// JoinBucketLoaders - joins multiple bucket loaders into a single loader,
// similar to `JoinLoaders`.
func JoinBucketLoaders(loaders ...BucketMetricsLoaderFn) BucketMetricsLoaderFn {
	return func(ctx context.Context, m MetricValues, c *metricsCache, b []string) error {
		for _, loader := range loaders {

import jcifs.smb.SmbException;
import jcifs.smb.SmbSessionInternal;
import jcifs.smb.SmbTransportInternal;

/**
 * This servlet Filter can be used to negotiate password hashes with
 * MSIE clients using NTLM SSP. This is similar to {@code Authentication:
 * BASIC} but weakly encrypted and without requiring the user to re-supply
 * authentication credentials.
 * <p>

    * Si conoces los tipos en Python sabes cómo usar Pydantic.
* Se lleva bien con tu **<abbr title="Integrated Development Environment – Entorno de Desarrollo Integrado: similar a un editor de código">IDE</abbr>/<abbr title="Un programa que verifica errores de código">linter</abbr>/cerebro**:

@GwtCompatible
public interface Table<
    R extends @Nullable Object, C extends @Nullable Object, V extends @Nullable Object> {
  // TODO(jlevy): Consider adding methods similar to ConcurrentMap methods.

  // Accessors

  /**
   * Returns {@code true} if the table contains a mapping with the specified row and column keys.
   *
   * @param rowKey key of row to search for

func reduceWriteQuorumErrs(ctx context.Context, errs []error, ignoredErrs []error, writeQuorum int) (maxErr error) {
	return reduceQuorumErrs(ctx, errs, ignoredErrs, writeQuorum, errErasureWriteQuorum)
}

// Similar to 'len(slice)' but returns the actual elements count
// skipping the unallocated elements.
func diskCount(disks []StorageAPI) int {
	diskCount := 0
	for _, disk := range disks {
		if disk == nil {
			continue

style**, if you call that function without FastAPI in **other places**, you have to **remember** to pass the arguments to the function for it to work correctly, otherwise the values will be different from what you expect (e.g. `QueryInfo` or something similar instead of `str`). And your editor won't complain, and Python won't complain running that function, only when the operations inside error out.

Because `Annotated` can have more than one metadata annotation, you could now even use the same...

# Entornos Virtuales { #virtual-environments }

Cuando trabajas en proyectos de Python probablemente deberías usar un **entorno virtual** (o un mecanismo similar) para aislar los paquetes que instalas para cada proyecto.

/// info | Información

Si ya sabes sobre entornos virtuales, cómo crearlos y usarlos, podrías querer saltar esta sección. 🤓

///

/// tip | Consejo

Un **entorno virtual** es diferente de una **variable de entorno**.

import jcifs.smb1.util.LogStream;

/**
 * This class uses a static {@link java.util.Properties} to act
 * as a cental repository for all jCIFS configuration properties. It cannot be
 * instantiated. Similar to <code>System</code> properties the namespace
 * is global therefore property names should be unique. Before use,
 * the <code>load</code> method should be called with the name of a