assertEquals(
                new File(pom.getBasedir(), "target/classes"),
                new File(pom.getValue("properties/buildMainOut").toString()));
        assertEquals(
                new File(pom.getBasedir(), "target/test-classes"),
                new File(pom.getValue("properties/buildTestOut").toString()));
        assertEquals(

Todas las dependencias que hemos visto son una función o clase fija.

Pero podría haber casos en los que quieras poder establecer parámetros en la dependencia, sin tener que declarar muchas funciones o clases diferentes.

Imaginemos que queremos tener una dependencia que revise si el parámetro de query `q` contiene algún contenido fijo.

Pero queremos poder parametrizar ese contenido fijo.

// that they are interested in preserving.
type Header struct {
	// Typeflag is the type of header entry.
	// The zero value is automatically promoted to either TypeReg or TypeDir
	// depending on the presence of a trailing slash in Name.
	Typeflag byte

	Name     string // Name of file entry
	Linkname string // Target name of link (valid for TypeLink or TypeSymlink)

	Size  int64  // Logical file size in bytes

            try {
                handle.close();
            } catch (Exception e) {
                log.error("Error closing witness RPC handle", e);
            }
        }
    }
    
    // RPC Stub classes for witness operations
    private static class WitnessRegisterStub extends DcerpcMessage {
        private final WitnessRegisterRequest request;
        private WitnessRegisterResponse response;
        

##### Warum Passwort-Hashing verwenden? { #why-use-password-hashing }

Wenn Ihre Datenbank gestohlen wird, hat der Dieb nicht die Klartext-Passwörter Ihrer Benutzer, sondern nur die Hashes.

Der Dieb kann also nicht versuchen, die gleichen Passwörter in einem anderen System zu verwenden (da viele Benutzer überall das gleiche Passwort verwenden, wäre dies gefährlich).

But you cannot convert from the gibberish back to the password.

##### Why use password hashing { #why-use-password-hashing }

If your database is stolen, the thief won't have your users' plaintext passwords, only the hashes.

So, the thief won't be able to try to use those same passwords in another system (as many users use the same password everywhere, this would be dangerous).

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

Pero no puedes convertir del galimatías al password.

##### Por qué usar hashing de passwords { #why-use-password-hashing }

Si tu base de datos es robada, el ladrón no tendrá los passwords en texto plano de tus usuarios, solo los hashes.

Entonces, el ladrón no podrá intentar usar esos mismos passwords en otro sistema (como muchos usuarios usan el mismo password en todas partes, esto sería peligroso).

- Choosing an erasure set for the object is decided during `PutObject()`, object names are used to find the right erasure set using the following pseudo code.

```go
// hashes the key returning an integer.
func sipHashMod(key string, cardinality int, id [16]byte) int {
        if cardinality <= 0 {
                return -1
        }
        sip := siphash.New(id[:])

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.

        dfs.insert(path, dr);

        assertNotNull(dfs.referrals);
        assertFalse(dfs.referrals.map.isEmpty());
        String key = "\\server\\share\\folder"; // Trailing slash should be removed
        assertTrue(dfs.referrals.map.containsKey(key.toLowerCase()));
    }