type Record struct {
	columnNames  []string
	csvRecord    []string
	nameIndexMap map[string]int64
}

// Get - gets the value for a column name. CSV fields do not have any
// defined type (other than the default string). So this function
// always returns fields using sql.FromBytes so that the type
// specified/implied by the query can be used, or can be automatically
// converted based on the query.

	default:
		panic("invalid format")
	}

	// Update checksum.
	// This field is special in that it is terminated by a NULL then space.
	var f formatter
	field := b.toV7().chksum()
	chksum, _ := b.computeChecksum() // Possible values are 256..128776
	f.formatOctal(field[:7], chksum) // Never fails since 128776 < 262143
	field[7] = ' '
}

// computeChecksum computes the checksum for the header block.

- **Security:**
Java serialization poses security risks, especially related to deserialization vulnerabilities.

- **Version Compatibility:**
With Java serialization, even minor changes to a class (like adding a field) can break compatibility.

- **Cross-Language Compatibility:**

        Field field = response.getClass().getDeclaredField("converter");
        field.setAccessible(true);
        return field.getInt(response);
    }

    private void setConverter(NetShareEnumResponse response, int value) throws Exception {
        Field field = response.getClass().getDeclaredField("converter");
        field.setAccessible(true);
        field.setInt(response, value);
    }

        Field field = response.getClass().getDeclaredField("converter");
        field.setAccessible(true);
        return field.getInt(response);
    }

    private void setConverter(NetServerEnum2Response response, int value) throws Exception {
        Field field = response.getClass().getDeclaredField("converter");
        field.setAccessible(true);
        field.setInt(response, value);
    }

/**
 * Helper class for language detection.
 */
public class LanguageHelper {
    private static final Logger logger = LogManager.getLogger(LanguageHelper.class);

    /** An array of language fields. */
    protected String[] langFields;

    /** An array of supported languages. */
    protected String[] supportedLanguages;

    /** The language detector. */
    protected LanguageDetector detector;

In some special use cases (probably not very common), you might want to **restrict** the headers that you want to receive.

You can use Pydantic's model configuration to `forbid` any `extra` fields:

{* ../../docs_src/header_param_models/tutorial002_an_py310.py hl[10] *}

If a client tries to send some **extra headers**, they will receive an **error** response.

 * </p>
 *
 * <pre>
 * for (PropertyDesc propertyDesc : beanDesc.getPropertyDescs()) {
 *     propertyDesc.getValue(foo); // Retrieve the value of Foo's property
 * }
 *
 * for (FieldDesc fieldDesc : beanDesc.getFieldDescs()) {
 *     fieldDesc.getFieldValue(foo); // Retrieve the value of Foo's field
 * }
 *

            assertEquals(error, echoResponse.getException());
        }
    }

    // Helper methods to set protected fields via reflection
    private void setStatus(ServerMessageBlock2 smb, int status) throws Exception {
        Field statusField = ServerMessageBlock2.class.getDeclaredField("status");
        statusField.setAccessible(true);
        statusField.setInt(smb, status);
    }

    }

    /**
     * Stores a document in the index after processing and validation.
     * Handles document transformation, field addition, and batched indexing.
     *
     * @param paramMap the data store parameters
     * @param dataMap the document data to store
     * @throws DataStoreException if required fields are missing or other errors occur
     */
    @Override