code: def convert_feature_list_to_featurebase_list(
      feature_list: List[LiteFeature],
      dataframe: pd.DataFrame,
  ) -> List[FeatureBase]:
      """
      Convert a list of LiteFeature objects into a list of FeatureBase objects
  
      Args:
          feature_list (List[LiteFeature])
          dataframe (pd.DataFrame)
  
      Returns:
         List[FeatureBase]
      """
      feature_cache: FeatureCache = {}
  
      converted_features: List[FeatureBase] = []
      for feature in feature_list:
          if feature.is_multioutput():
              related_feature_ids = [
                  f.id for f in feature.related_features
              ]
              if any((x in feature_cache for x in related_feature_ids)):
                  # feature base already created for related ids
                  continue
  
          fb = _convert_feature_to_featurebase(
              feature=feature,
              dataframe=dataframe,
              cache=feature_cache,
          )
          converted_features.append(fb)
  
      return converted_features
  
file_path: featuretools/featuretools/feature_discovery/convertors.py
imports: from __future__ import annotations
  from typing import Dict, List
  import pandas
  from woodwork.logical_types import LogicalType
  from featuretools.feature_base.feature_base import FeatureBase, IdentityFeature, TransformFeature
  from featuretools.feature_discovery.LiteFeature import LiteFeature
  from featuretools.primitives import TransformPrimitive
  from featuretools.primitives.base.primitive_base import PrimitiveBase
label_desc: Use image node_id 4 for calling a global function with example usage: convert_feature_list_to_featurebase_list(feature_list, dataframe) and returns: converted_features