import com.esotericsoftware.kryo.serializers.MapSerializer;

/**
 * A serializer class for handling object serialization and deserialization.
 * <p>
 * This class provides serialization capabilities using different serializers,
 * currently supporting Kryo and JavaBin serialization formats. The serializer
 * type is determined by the crawler data serializer configuration.
 * </p>
 * <p>

import java.util.TreeMap;

import org.codelibs.fess.unit.UnitFessTestCase;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;

/**
 * Test class for DataSerializer.
 * Tests serialization and deserialization with Kryo and JavaBin.
 */
public class DataSerializerTest extends UnitFessTestCase {

    private DataSerializer serializer;

    @Override

But as TypeScript data is not preserved after compilation to JavaScript, it cannot rely on the types to define validation, serialization and documentation at the same time. Due to this and some design decisions, to get validation, serialization and automatic schema generation, it's needed to add decorators in many places. So, it becomes quite verbose.

    "path": "platforms/core-configuration/base-services-groovy",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "bean-serialization-services",
    "path": "platforms/core-configuration/bean-serialization-services",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "build-cache",

) -> tuple[
    dict[tuple[ModelField, Literal["validation", "serialization"]], JsonSchemaValue],
    dict[str, dict[str, Any]],
]:
    schema_generator = GenerateJsonSchema(ref_template=REF_TEMPLATE)
    validation_fields = [field for field in fields if field.mode == "validation"]
    serialization_fields = [field for field in fields if field.mode == "serialization"]
    flat_validation_models = get_flat_models_from_fields(

   *   <li>Serialization test is not performed on method return values unless the method is a
   *       visible static factory method whose return type is {@code C} or {@code C}'s subtype.
   * </ul>
   *
   * <p>In all cases, if {@code C} needs custom logic for testing serialization, you can add an
   * explicit {@code testSerializable()} test in the corresponding {@code CTest} class, and {@code

   *   <li>Serialization test is not performed on method return values unless the method is a
   *       visible static factory method whose return type is {@code C} or {@code C}'s subtype.
   * </ul>
   *
   * <p>In all cases, if {@code C} needs custom logic for testing serialization, you can add an
   * explicit {@code testSerializable()} test in the corresponding {@code CTest} class, and {@code

   * size before writing to pre-allocated space (e.g., for memory-mapped files or fixed-size
   * records).
   *
   * @since NEXT
   */
  public long serializedSize() {
    // We return a long (and not an int) because the max serialized size is approximately
    // 17 billion bytes (2^31 * 8 bytes).

    // The serialization header is 6 bytes:

            <option value="$PROJECT_DIR$/platforms/core-configuration/graph-isolation" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/graph-serialization" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/guava-serialization-codecs" />
            <option value="$PROJECT_DIR$/platforms/core-configuration/input-tracking" />

def _get_openapi_operation_parameters(
    *,
    dependant: Dependant,
    model_name_map: ModelNameMap,
    field_mapping: dict[
        tuple[ModelField, Literal["validation", "serialization"]], dict[str, Any]
    ],
    separate_input_output_schemas: bool = True,
) -> list[dict[str, Any]]:
    parameters = []
    flat_dependant = get_flat_dependant(dependant, skip_repeats=True)