*   <li>It is easy for the user to ensure that listeners are never invoked while holding locks.
 * </ul>
 *
 * The last point is subtle. Often the observable object will be managing its own internal state
 * using a lock, however it is dangerous to dispatch listeners while holding a lock because they
 * might run on the {@code directExecutor()} or be otherwise re-entrant (call back into your

   * double the index of the entry in entrySet.asList.)
   *
   * The basic data structure is described in https://en.wikipedia.org/wiki/Open_addressing.
   * The pointer to a key is stored in hashTable[Hashing.smear(key.hashCode()) % table.length],
   * save that if that location is already full, we try the next index, and the next, until we
   * find an empty table position.  Since the table has a power-of-two size, we use

[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515
[19511] [INFO] Started server process [19511]
[19511] [INFO] Waiting for application startup.

          int x = n / i;
          if (x * i == n) return factor(x) + " × " + i;
        }
        return Integer.toString(n);
      }
    };

    thread.start();
  }

  /**
   * This request body makes it possible for another thread to stream data to the uploading request.
   * This is potentially useful for posting live event streams like video capture. Callers should
   * write to {@code sink()} and close it to complete the post.

        // Check if we can use cached directory listing
        if (dirManager.canCacheDirectoryListing(directoryPath)) {
            List<SmbFile> cachedFiles = dirManager.getCachedDirectoryListing(directoryPath);
            if (cachedFiles != null) {
                log.debug("Using cached directory listing for: {}", directoryPath);
                return cachedFiles.toArray(new SmbFile[0]);

Nunca deberías guardar passwords en texto plano, así que, usaremos el sistema de hash de passwords (falso).

Si los passwords no coinciden, devolvemos el mismo error.

#### Hashing de passwords

"Hacer hash" significa: convertir algún contenido (un password en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

#### Hashing de senha

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"context"
	"os"
	"path/filepath"
	"testing"

	"github.com/google/uuid"
)

var testUUID = uuid.MustParse("f5c58c61-7175-4018-ab5e-a94fe9c2de4e")

func BenchmarkCrcHash(b *testing.B) {
	cases := []struct {
		key int
	}{
		{16},
		{64},
		{128},
		{256},
		{512},
		{1024},
	}

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Hashing.smear;

import com.google.common.annotations.GwtCompatible;
import junit.framework.TestCase;
import org.jspecify.annotations.NullMarked;

/** Tests for {@code Hashing}. */
@GwtCompatible
@NullMarked
public class HashingTest extends TestCase {
  public void testSmear() {

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.collect.Hashing.smear;

import com.google.common.annotations.GwtCompatible;
import junit.framework.TestCase;
import org.jspecify.annotations.NullMarked;

/** Tests for {@code Hashing}. */
@GwtCompatible
@NullMarked
public class HashingTest extends TestCase {
  public void testSmear() {