url = "\$buildDir/repo"
                    }
                 }
            }
            version = "1.0"
            group = 'org.acme' 
            description = 'some description'       
        """

        when:
        def result = gradleRunner('assemble', '--stacktrace').build()

        then:
        result.task(":generatePom").outcome == TaskOutcome.SUCCESS

	getLockers func() ([]dsync.NetLocker, string)

	// getEndpoints returns list of endpoint belonging this set.
	// some may be local and some remote.
	getEndpoints func() []Endpoint

	// getEndpoints returns list of endpoint strings belonging this set.
	// some may be local and some remote.
	getEndpointStrings func() []string

	// Locker mutex map.
	nsMutex *nsLockMap
}

     * is given by {@link #getSource()}.
     *
     * @return The one-based index of the line containing the problem or a non-positive value if unknown.
     */
    int getLineNumber();

    /**
     * Gets the one-based index of the column containing the problem. The column number should refer to some text file
     * that is given by {@link #getSource()}.
     *

            // ID for domain (used with relative IDs to get SIDs)
            final int domainIdPointer = pacStream.readInt();

            // Skip some reserved fields
            pacStream.skipBytes(8);

            this.userAccountControl = pacStream.readInt();

            // Skip some reserved fields
            pacStream.skipBytes(28);

            // Extra SIDs information

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Dica

`aGVsbG8=` é a codificação base64 de `hello`.

///

Em seguida, o Pydantic decodificará a string base64 e fornecerá os bytes originais no campo `data` do modelo.

Você receberá uma response assim:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

/**
 * Collects, flattens and resolves dependencies.
 */
@Experimental
public interface DependencyResolver extends Service {

    /**
     * Collects the transitive dependencies of some artifacts and builds a dependency graph for the given path scope.
     * Note that this operation is only concerned about determining the coordinates of the transitive dependencies and
     * does not actually resolve the artifact files.

Let's imagine that we want to have a dependency that checks if the query parameter `q` contains some fixed content.

But we want to be able to parameterize that fixed content.

## A "callable" instance { #a-callable-instance }

In Python there's a way to make an instance of a class a "callable".

	// Add grid to router
	router.Handle(grid.RoutePath, adminMiddleware(commonGrid.Handler(storageServerRequestValidate), noGZFlag, noObjLayerFlag))
}

// List of some generic middlewares which are applied for all incoming requests.
var globalMiddlewares = []mux.MiddlewareFunc{
	// set x-amz-request-id header and others
	addCustomHeadersMiddleware,

The Wrapper then downloads the Gradle distribution (if necessary), starts the Launcher and runs the build, spawning and connecting to other processes such as the Daemon as required.

Embedding a Java runtime in the distribution would provide some benefits, such as allowing the Launcher, Daemon and Workers to run on it, removing the prerequisite of an installed Java runtime.

</div>

아래와 같은 요청을 보낼 수 있습니다:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 팁

`aGVsbG8=`는 `hello`의 base64 인코딩입니다.

///

그러면 Pydantic이 base64 문자열을 디코딩하여 모델의 `data` 필드에 원래 바이트를 제공합니다.

다음과 같은 응답을 받게 됩니다:

```json
{
  "description": "Some data",
  "content": "hello"
}
```