"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},
	}
	for _, testCase := range cases {
		key := randString(testCase.key)
		b.Run("", func(b *testing.B) {
			b.SetBytes(1024)
			b.ReportAllocs()
			b.ResetTimer()
			for b.Loop() {

para gerenciar contêineres distribuídos em várias máquinas, então provavelmente desejará **lidar com a replicação** no **nível do cluster** em vez de usar um **gerenciador de processos** (como Uvicorn com workers) em cada contêiner.

Um desses sistemas de gerenciamento de contêineres distribuídos como o Kubernetes normalmente tem alguma maneira integrada de lidar com a **replicação de contêineres** enquanto ainda oferece **balanceamento de carga** para as solicitações recebidas. Tudo no...

        } catch (final Exception e) {
            return url;
        }
    }

    /**
     * Gets the character encoding for a parent URL from cache or data service.
     * Caches encoding information to improve performance on subsequent requests.
     *
     * @param parentUrl the parent URL to get encoding for
     * @param sessionId the session ID for the crawling session

Nota cómo la clave `images` ahora tiene una lista de objetos de imagen.

///

## Modelos anidados profundamente { #deeply-nested-models }

Puedes definir modelos anidados tan profundamente como desees:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | Información

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

                throw new IOException("Failed to access " + url, e);
            }
        }

        /**
         * Gets the Blob object from GCS.
         * This method caches the response to avoid repeated calls.
         *
         * @return The Blob object
         * @throws IOException If an I/O error occurs
         */
        private Blob getBlob() throws IOException {

                throw new IOException("Failed to access " + url, e);
            }
        }

        /**
         * Gets the object head response from the S3 service.
         * This method caches the response to avoid repeated calls.
         *
         * @return The object head response
         * @throws IOException If an error occurs
         */

This is especially the case for user models, because:

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

/// danger

Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

 *
 */
public class DocumentHelper {
    private static final Logger logger = LogManager.getLogger(DocumentHelper.class);

    /** Prefix used for encoded similar document hashes */
    protected static final String SIMILAR_DOC_HASH_PREFIX = "$";

    /**
     * Default constructor for DocumentHelper.
     * Creates a new document helper instance.
     */
    public DocumentHelper() {

            // Test with concrete implementation
            assertDoesNotThrow(() -> concreteImplementation.replaceCache());
        }

        @Test
        @DisplayName("Should check if resolve hashes")
        void testIsResolveHashes() {
            // Test with mock
            when(mockReferralData.isResolveHashes()).thenReturn(true);
            assertTrue(mockReferralData.isResolveHashes());

        assertEquals(0x123456, target.getPipeType());
        assertEquals("\\\\pipe\\\\my-pipe", target.getUncPath());
    }

    @Test
    @DisplayName("ensureTreeConnected caches tree and acquires on each call")
    void testEnsureTreeConnectedCaching() throws CIFSException {
        // Arrange: first ensureTreeConnected comes from pipe
        when(pipe.ensureTreeConnected()).thenReturn(tree);