if (data == null || data.length == 0) {
            return 1.0;
        }
        if (algorithm == COMPRESSION_NONE) {
            return 1.0;
        }

        // Simple heuristic based on data entropy
        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

      - tutorial/dependencies/dependencies-with-yield.md
    - Security:
      - tutorial/security/index.md
      - tutorial/security/first-steps.md
      - tutorial/security/get-current-user.md
      - tutorial/security/simple-oauth2.md
      - tutorial/security/oauth2-jwt.md
    - tutorial/middleware.md
    - tutorial/cors.md
    - tutorial/sql-databases.md
    - tutorial/bigger-applications.md
    - tutorial/background-tasks.md

Y el `dict` que recibas como `weights` tendrá realmente claves `int` y valores `float`.

///

## Resumen

Con **FastAPI** tienes la máxima flexibilidad proporcionada por los modelos Pydantic, manteniendo tu código simple, corto y elegante.

Pero con todos los beneficios:

* Soporte de editor (¡autocompletado en todas partes!)
* Conversión de datos (también conocido como parsing/serialización)
* Validación de datos

 * that are important in the context of using jCIFS. They are:
 *
 * <ul>
 * <li> <code>CallNamedPipe</code> A message-type pipe call that opens,
 *      writes to, reads from, and closes the pipe in a single operation.
 * <li> <code>TransactNamedPipe</code> A message-type pipe call that
 *      writes to and reads from an existing pipe descriptor in one operation.
 * <li> <code>CreateFile</code>, <code>ReadFile</code>,

                    paths.add(path);
                }
            }
        }
        assertTrue("Should have unique paths", paths.size() > 0);
    }

    public void test_pathNamingConvention() throws Exception {
        // Test field naming follows convention
        Field[] fields = FessHtmlPath.class.getDeclaredFields();

    void testInitialIndexNumber() {
        assertEquals(0L, fileInternalInfo.getIndexNumber());
    }

    @Test
    @DisplayName("Test size method returns 8")
    void testSize() {
        assertEquals(8, fileInternalInfo.size());
    }

    @Test
    @DisplayName("Test decode with valid data")
    void testDecodeWithValidData() throws SMBProtocolDecodingException {
        // Prepare test data

* `write(data)`: escreve dados (`data`) em `str` ou `bytes` no arquivo.
* `read(size)`: Lê um número de bytes/caracteres de acordo com a quantidade `size` (`int`).
* `seek(offset)`: Navega para o byte na posição `offset` (`int`) do arquivo.
    * E.g., `await myfile.seek(0)` navegaria para o ínicio do arquivo.

         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope
         * that this will suffice. I have not even benchmarked with different size limits.
         */
        if (validClasses.size() > 1000) {
          validClasses.clear();
        }

        validClasses.add(new WeakReference<Class<? extends Exception>>(exceptionClass));
      }
    }

    /**

net.ipv4.tcp_sack=1

# Low latency mode for TCP
net.ipv4.tcp_low_latency=1

# The following variable is used to tell the kernel how 
# much of the socket buffer space should be used for TCP 
# window size, and how much to save for an application buffer.
net.ipv4.tcp_adv_win_scale=1

# disable RFC2861 behavior
net.ipv4.tcp_slow_start_after_idle = 0

# Fix faulty network setups
net.ipv4.tcp_mtu_probing=1

        }

        if (_specification != null) {
            builder.setFetchSource(_specification.columnList.toArray(new String[_specification.columnList.size()]), null);
        }

        return builder;
    }

    // ===================================================================================