code: def SearchAlgorithmDataclassField(
      description: str = "",
      default: Dict = {"type": "variant_generator"},
  ):
      class SearchAlgorithmMarshmallowField(fields.Field):
          def _deserialize(self, value, attr, data, **kwargs):
              if isinstance(value, dict):
                  try:
                      return BaseSearchAlgorithmConfig.Schema().load(
                          value
                      )
                  except (TypeError, ValidationError):
                      raise ValidationError(
                          f"Invalid params for scheduler: {value}, see SearchAlgorithmConfig class."
                      )
              raise ValidationError("Field should be dict")
  
          def _jsonschema_type_mapping(self):
              return {
                  # **schema_utils.unload_jsonschema_from_marshmallow_class(BaseSearchAlgorithmConfig),
                  "type": "object",
                  "properties": {
                      "type": {
                          "type": "string",
                          "enum": list(
                              hyperopt_utils.search_algorithm_config_registry.keys()
                          ),
                          "default": default["type"],
                          "description": "The type of scheduler to use during hyperopt",
                      },
                  },
                  "title": "search_algorithm_options",
                  "required": ["type"],
                  "description": description,
              }
  
      if not isinstance(default, dict):
          raise ValidationError(f"Invalid default: `{default}`")
  
      load_default = lambda: BaseSearchAlgorithmConfig.Schema().load(
          default
      )
      dump_default = BaseSearchAlgorithmConfig.Schema().dump(default)
  
      return field(
          metadata={
              "marshmallow_field": SearchAlgorithmMarshmallowField(
                  allow_none=False,
                  load_default=load_default,
                  dump_default=dump_default,
                  metadata={
                      "description": description,
                      "parameter_metadata": None,
                  },
              )
          },
          default_factory=load_default,
      )
  
imports: from dataclasses import field
  from importlib import import_module
  from typing import Dict, List, Optional
  from marshmallow import fields, ValidationError
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.schema import utils
  from ludwig.schema.hyperopt import utils
  from ludwig.schema.utils import ludwig_dataclass
label_desc: Use image node_id 3 for calling a global function with example usage: SearchAlgorithmDataclassField(description, default) and returns: field, dict, BaseSearchAlgorithmConfig