/**
     * Converts line data objects into line elements.
     *
     * @param {Object[]} lineData - Dynamically loaded lines.
     * @param {Object} line - Line data object.
     * @returns {Element[]} - Array of line elements.
     */
    lineDataToElements(lineData) {
        return lineData.map(line => {
            let div = document.createElement('div');

   * they're defined above -- including logic to add and subtract 1 to map between the values stored
   * in the predecessor/successor arrays and the indexes in the elements array that they identify.
   */

        return hashAlgorithm == HASH_ALGO_SHA512; // Currently only SHA-512 is supported
    }

    /**
     * Gets the list of supported hash algorithms.
     *
     * @return array of supported algorithms
     */
    public int[] getSupportedHashAlgorithms() {
        return new int[] { HASH_ALGO_SHA512 };
    }

    /**
     * Gets the selected hash algorithm.
     *

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

///

## Cuerpos de listas puras

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: List[Image]
```

o en Python 3.9 y superior:

```Python

		}
		if field.HasDefaultValue && !skipParseDefaultValue && field.DataType == Time {
			if t, err := now.Parse(field.DefaultValue); err == nil {
				field.DefaultValueInterface = t
			}
		}
	case reflect.Array, reflect.Slice:
		if reflect.Indirect(fieldValue).Type().Elem() == ByteReflectType && field.DataType == "" {
			field.DataType = Bytes
		}
	}

	if dataTyper, ok := fieldValue.Interface().(GormDataTypeInterface); ok {

        hmac.engineUpdate(TEST_DATA, 0, TEST_DATA.length);
        // No exception means success
    }

    @Test
    void testEngineUpdateByteArrayPartial() {
        // Test engineUpdate with partial array
        HMACT64 hmac = new HMACT64(TEST_KEY);
        hmac.engineUpdate(TEST_DATA, 2, TEST_DATA.length - 2);
        // No exception means success
    }

    @Test
    void testEngineReset() {

        buffer.put((byte) 0x00); // Padding
        buffer.putShort((short) 8); // AclSize
        buffer.putShort((short) 0); // AceCount
        buffer.putShort((short) 0); // Padding

        return buffer.array();
    }

    /**
     * Helper method to set error code using reflection
     */
    private void setErrorCode(NtTransQuerySecurityDescResponse response, int errorCode) throws Exception {

Note como `Offer` tem uma lista de `Item`s, que por sua vez possui opcionalmente uma lista `Image`s

///

## Corpos de listas puras

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:


```Python
images: List[Image]
```

como em:

      }
      /*
       * If entries is full, then this implementation may end up using the entries array
       * directly and writing over the entry objects with non-terminal entries, but this is
       * safe; if this Builder is used further, it will grow the entries array (so it can't
       * affect the original array), and future build() calls will always copy any entry
       * objects that cannot be safely reused.
       */

    }

    /**
     * Calculates the effective user session key.
     *
     * @param challenge The server challenge.
     * @param dest The destination array in which the user session key will be
     * placed.
     * @param offset The offset in the destination array at which the
     * session key will start.
     */
    void getUserSessionKey(final byte[] challenge, final byte[] dest, final int offset) throws SmbException {