V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

...pero puedes tener modelos separados usando Pydantic v1 y v2 en la misma app.

```mermaid
graph TB
    subgraph "✅ Supported"
        direction TB

            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

...but, you can have separated models using Pydantic v1 and v2 in the same app.

```mermaid
graph TB
    subgraph "✅ Supported"
        direction TB

func (s *scratch) add(c byte) {
	if s.fill+1 >= cap(s.data) {
		s.grow()
	}

	s.data[s.fill] = c
	s.fill++
}

// append encoded rune to scratch buffer
func (s *scratch) addRune(r rune) int {
	if s.fill+utf8.UTFMax >= cap(s.data) {
		s.grow()
	}

	n := utf8.EncodeRune(s.data[s.fill:], r)
	s.fill += n
	return n

        assertArrayEquals(plaintext, decrypted1);
        assertArrayEquals(plaintext, decrypted2);

        // Clean up
        Arrays.fill(plaintext, '\0');
        Arrays.fill(decrypted1, '\0');
        Arrays.fill(decrypted2, '\0');
    }

    @Test
    public void testBase64StringOperations() throws Exception {
        char[] plaintext = "TestPassword456".toCharArray();

        style core_runtime stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;

        core_configuration["core-configuration module"]
        style core_configuration stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;

        core_execution["core-execution module"]
        style core_execution stroke:#1abc9c,fill:#b1f4e7,stroke-width:2px,color:#000;
    end
    style core fill:#c2e0f4,stroke:#3498db,stroke-width:2px,color:#000;

        request.setCloseFlags(0x0001);

        // Change file ID
        byte[] newFileId1 = new byte[16];
        Arrays.fill(newFileId1, (byte) 0xAA);
        request.setFileId(newFileId1);

        // Change flags
        request.setCloseFlags(0x0000);

        // Change file ID again
        byte[] newFileId2 = new byte[16];
        Arrays.fill(newFileId2, (byte) 0xBB);
        request.setFileId(newFileId2);

            Security.addProvider(new BouncyCastleProvider());
        }
    }

    @BeforeEach
    void setup() {
        sessionKey = new byte[16];
        Arrays.fill(sessionKey, (byte) 0xAA);

        preauthIntegrityHash = new byte[64];
        Arrays.fill(preauthIntegrityHash, (byte) 0xBB);
    }

    @Nested
    @DisplayName("Constructor Tests")
    class ConstructorTests {

        @Test

        end
        subgraph V1["Pydantic-v1-Modell"]
            V2Field["Pydantic-v2-Modell"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

... aber Sie können getrennte Modelle, die Pydantic v1 bzw. v2 nutzen, in derselben App verwenden.

```mermaid
graph TB
    subgraph "✅ Unterstützt"

            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

...but, you can have separated models using Pydantic v1 and v2 in the same app.

```mermaid
graph TB
    subgraph "✅ Supported"
        direction TB

    void testDecodeValidResumeKey() throws SMBProtocolDecodingException {
        // Prepare test data - 24 bytes for resume key + 4 bytes for context length
        byte[] buffer = new byte[28];

        // Fill resume key with test pattern
        for (int i = 0; i < 24; i++) {
            buffer[i] = (byte) (i + 1);
        }

        // Add context length (reserved) - 4 bytes
        buffer[24] = 0x00;