code: def get_features_for_transform(self) -> Optional[List[str]]:
      if self.provider_metadata_v2 is None:
          return None
  
      features_for_transform = set()
      for meta in self.provider_metadata_v2:
          if meta.features_used_for_embeddings is not None:
              features_for_transform.update(
                  meta.features_used_for_embeddings
              )
  
      return list(features_for_transform)
  
imports: import tempfile
  import time
  from functools import lru_cache
  from typing import Dict, List, Optional
  import pandas
  from upgini import dataset
  from upgini.http import LoggerFactory, ProviderTaskSummary, SearchProgress, SearchTaskSummary, get_rest_client, is_demo_api_key
  from upgini.metadata import SYSTEM_RECORD_ID, FeaturesMetadataV2, FileMetadata, GeneratedFeatureMetadata, ModelTaskType, ProviderTaskMetadataV2, RuntimeParameters
  from upgini.resource_bundle import bundle
  from upgini.spinner import Spinner
label_desc: Use image node_id 6 for calling the SearchTask obj's underlying member method code with example usage: obj.get_features_for_transform() and returns: list, None