import jcifs.BaseTest;

/**
 * Test class for jcifs.smb1.util.Hexdump utility functionality
 */
@DisplayName("SMB1 Hexdump Utility Tests")
class HexdumpTest extends BaseTest {

    @Test
    @DisplayName("Should convert integer to hex string with specified size")
    void testToHexStringInt() {
        // Test zero
        assertEquals("00000000", Hexdump.toHexString(0, 8));
        assertEquals("0000", Hexdump.toHexString(0, 4));

BeanUtil.copyBeanToBean(source, destination, options -> 
    options.exclude("password", "internalId"));

// Convert between beans and maps
Map<String, Object> map = BeanUtil.copyBeanToNewMap(bean);
MyBean newBean = BeanUtil.copyMapToNewBean(map, MyBean.class);
```

### Type Conversion
```java
import org.codelibs.core.convert.*;

// Safe type conversions with null handling

                    if (readingTokens == null) {
                        l = readingConverter.convert(word, field, lang);
                    } else {
                        final String reading = readingTokens.get(i).getTerm();
                        l = contentsReadingConverter.convert(reading, field, lang);
                    }
                    l.add(word);

        if (bytes.length != 16) {
            throw new IllegalArgumentException("GUID must be 16 bytes");
        }

        // MS-SMB2 specifies little-endian byte ordering for GUID components
        // Convert from little-endian wire format to Java UUID
        ByteBuffer bb = ByteBuffer.wrap(bytes).order(java.nio.ByteOrder.LITTLE_ENDIAN);

        // Read GUID components in little-endian order

            """
        ),
    ] = True,
) -> Any:
    """
    Convert any object to something that can be encoded in JSON.

    This is used internally by FastAPI to make sure anything you return can be
    encoded as JSON before it is sent to the client.

    You can also use it yourself, for example to convert objects before saving them
    in a database that supports only JSON.

			}
		}

		if reflect.ValueOf(got).Type().ConvertibleTo(reflect.ValueOf(expect).Type()) {
			got = reflect.ValueOf(got).Convert(reflect.ValueOf(expect).Type()).Interface()
			isEqual()
		} else if reflect.ValueOf(expect).Type().ConvertibleTo(reflect.ValueOf(got).Type()) {
			expect = reflect.ValueOf(got).Convert(reflect.ValueOf(got).Type()).Interface()
			isEqual()
		} else {

    assertThat(formEncode(8)).isEqualTo("%08")
    assertThat(formEncode(9)).isEqualTo("%09")
    // Browsers convert '\n' to '\r\n'
    assertThat(formEncode(10)).isEqualTo("%0A")
    assertThat(formEncode(11)).isEqualTo("%0B")
    assertThat(formEncode(12)).isEqualTo("%0C")
    // Browsers convert '\r' to '\r\n'
    assertThat(formEncode(13)).isEqualTo("%0D")
    assertThat(formEncode(14)).isEqualTo("%0E")

    }

    /**
     * Convert property using appropriate converter.
     */
    private Object convertProperty(
            Class<?> beanType, Class<?> rawPropertyType, Type genericPropertyType, PlexusConfiguration configuration)
            throws ComponentConfigurationException {

        ConfigurationConverter converter = lookup.lookupConverterForType(rawPropertyType);

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

2)  Reference [TensorFlow Lite Model Colab](https://colab.research.google.com/gist/ymodak/0dfeb28255e189c5c48d9093f296e9a8/tensorflow-lite-debugger-colab.ipynb): Demonstrate how to convert your TF model to a TF Lite model (with quantization, if used) and run TFLite Inference (if possible).

```
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