code: def get_combiner_jsonschema():
      """Returns a JSON schema structured to only require a `type` key and then conditionally apply a corresponding
      combiner's field constraints."""
      combiner_types = sorted(list(combiner_config_registry.keys()))
      parameter_metadata = convert_metadata_to_json(
          ParameterMetadata.from_dict(
              {
                  "commonly_used": True,
                  "expected_impact": 3,
                  "ui_display_name": "Combiner Type",
              }
          )
      )
      return {
          "type": "object",
          "properties": {
              "type": {
                  "type": "string",
                  "enum": combiner_types,
                  "enumDescriptions": get_combiner_descriptions(),
                  "default": DEFAULT_VALUE,
                  "title": "combiner_options",
                  "description": DESCRIPTION,
                  "parameter_metadata": parameter_metadata,
              },
          },
          "allOf": get_combiner_conds(),
          "required": ["type"],
      }
  
file_path: ludwig/ludwig/schema/combiners/utils.py
imports: from typing import Any, Dict, List, Type
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import TYPE
  from ludwig.schema import utils
  from ludwig.schema.combiners.base import BaseCombinerConfig
  from ludwig.schema.metadata import COMBINER_METADATA
  from ludwig.schema.metadata.parameter_metadata import convert_metadata_to_json, ParameterMetadata
  from ludwig.utils.registry import Registry
label_desc: Use image node_id 3 for calling a global function with example usage: get_combiner_jsonschema() and returns: dict