}

    /**
     * When given a buffer with sufficient length, decode performs
     * the inverse of encode.
     */
    @Test
    void decodeFromEncodedBuffer() throws NdrException {
        NdrShort ns = new NdrShort(123); // masked value 123 (already fits in 8 bits)
        buf.reset();
        ns.encode(buf);

        // Reset buffer to start for decoding
        buf.reset();

            byte[] largeBuffer = new byte[1000];

            // Act
            int smallEncodedSize = context.encode(smallBuffer, 0);
            int largeEncodedSize = context.encode(largeBuffer, 500);

            // Assert
            // encode() returns actual bytes written (6), not size() value (8)
            assertEquals(6, smallEncodedSize); // actual: 2 bytes count + 2*2 bytes for ciphers

            // When/Then: Should throw NdrException
            assertThrows(NdrException.class, () -> policyHandle.encode(mockNdrBuffer));
        }

        @Test
        @DisplayName("Should decode policy handle correctly")
        void testPolicyHandleDecode() throws NdrException {
            // Given: A policy handle to decode into
            rpc.policy_handle policyHandle = new rpc.policy_handle();

     */
    int encode(byte[] dst, int dstIndex);

    /**
     * Returns the size in bytes that this object will occupy when encoded.
     *
     * @return the encoded size
     */
    int size();

Você pode usar a função `jsonable_encoder` para resolver isso.

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

        FileRenameInformation2 original = new FileRenameInformation2(fileName, replaceIfExists);

        // Encode
        byte[] buffer = new byte[200];
        int bytesWritten = original.encode(buffer, 0);

        // Decode
        FileRenameInformation2 decoded = new FileRenameInformation2();
        int bytesRead = decoded.decode(buffer, 0, bytesWritten);

        // Verify round trip
        assertEquals(bytesWritten, bytesRead);

같은 방식으로 이 데이터베이스는 Pydantic 모델(속성이 있는 객체)을 받지 않고, `dict` 만을 받습니다.

이를 위해 `jsonable_encoder` 를 사용할 수 있습니다.

Pydantic 모델과 같은 객체를 받고 JSON 호환 가능한 버전으로 반환합니다:

{* ../../docs_src/encoder/tutorial001.py hl[5,22] *}

이 예시는 Pydantic 모델을 `dict`로, `datetime` 형식을 `str`로 변환합니다.

        // Encode to buffer
        byte[] buffer = new byte[1024];
        NdrBuffer encodeBuffer = new NdrBuffer(buffer, 0);
        domainInfo.encode(encodeBuffer);

        // Decode from buffer
        NdrBuffer decodeBuffer = new NdrBuffer(buffer, 0);
        lsarpc.LsarDomainInfo decodedInfo = new lsarpc.LsarDomainInfo();
        decodedInfo.decode(decodeBuffer);

    }

    /**
     * Encodes an object name to a URL-safe base64 string.
     *
     * @param objectName the object name to encode
     * @return base64 encoded string
     */
    protected static String encodeId(final String objectName) {
        if (objectName == null) {
            return StringUtil.EMPTY;
        }

    assertThat(encoding.encode(decoded.getBytes(UTF_8), offset, len)).isEqualTo(encoded);
  }

  private static void testDecodes(BaseEncoding encoding, String encoded, String decoded) {
    assertThat(encoding.canDecode(encoded)).isTrue();
    assertThat(encoding.decode(encoded)).isEqualTo(decoded.getBytes(UTF_8));
  }

  private static void testDecodesByBytes(BaseEncoding encoding, String encoded, byte[] decoded) {