* **Security** of the connection. This includes verification of the remote webserver with certificates and the privacy of data exchanged with strong ciphers.

        assertFalse(Arrays.equals(new byte[24], resp), "Response must not be all zeros");
    }

    @Test
    @DisplayName("getLMv2Response(byte[]): empty client data allowed")
    void testGetLMv2Response_bytes_emptyClientData() {
        // Arrange
        byte[] key = hex("000102030405060708090A0B0C0D0E0F");
        byte[] server = hex("0102030405060708");

 * using AES-GCM encryption with PBKDF2 key derivation.
 *
 * Features:
 * - Encrypts credentials at rest using AES-256-GCM
 * - Uses PBKDF2 for key derivation from master password
 * - Secure wiping of sensitive data
 * - Thread-safe operations
 * - Protection against timing attacks
 */
public class SecureCredentialStorage implements AutoCloseable, Destroyable {

```

But possibly the most important part of the callback is making sure that your API user (the external developer) implements the *external API* correctly, according to the data that *your API* is going to send in the request body of the callback, etc.

So, what we will do next is add the code to document how that *external API* should look like to receive the callback from *your API*.

* Para corrigir um erro de digitação que você encontrou na documentação.
* Para compartilhar um artigo, video, ou podcast criados por você sobre o FastAPI <a href="https://github.com/fastapi/fastapi/edit/master/docs/en/data/external_links.yml" class="external-link" target="_blank">editando este arquivo</a>.
    * Não se esqueça de adicionar o link no começo da seção correspondente.

        src[srcIndex + 7] = 0x00;
        src[srcIndex + 8] = 0x00;
        src[srcIndex + 9] = 0x00;
        // rDataLength (2 bytes)
        src[srcIndex + 10] = 0x00;
        src[srcIndex + 11] = 0x06; // 6 bytes of data

        // Initialize questionName to avoid NPE
        Field questionNameField = NameServicePacket.class.getDeclaredField("questionName");
        questionNameField.setAccessible(true);

    assertThat(actual).isEqualTo(expected)
  }

  private fun intArrayToByteArray(bytes: IntArray): ByteString {
    val data = ByteArray(bytes.size)
    for (i in bytes.indices) {
      data[i] = bytes[i].toByte()
    }
    return ByteString.of(*data)
  }

  private fun readerHeaderTableLength(): Int = hpackReader!!.dynamicTable.size

Dies und die einfache Tatsache, dass Python die Hauptsprache für **Data Science**, maschinelles Lernen und insbesondere Deep Learning ist, machen FastAPI zu einem sehr passenden Werkzeug für Web-APIs und Anwendungen für Data Science / maschinelles Lernen (neben vielen anderen).

							<em class="fa fa-search">
						</button>
					</div>
				</div>
			</form>
		</c:if>
		<nav class="mt-2">

		<ul class="nav nav-pills nav-sidebar flex-column" data-widget="treeview" role="menu">
			<li class="nav-header"><la:message key="labels.sidebar.menu" /></li>
			<c:if test="${fe:permission('admin-dashboard-view')}">
				<li class="nav-item">

         */
        public int level;
        /**
         * The share information container.
         */
        public NdrObject info;
        /**
         * The preferred maximum length of returned data.
         */
        public int prefmaxlen;
        /**
         * The total number of entries.
         */
        public int totalentries;
        /**
         * The resume handle for enumeration.