code: def match_instance_to_data(instance, data):
      if not isinstance(instance, Instance):
          raise TypeError("instance must be of type Instance!")
  
      if isinstance(data, DenseData):
          if instance.group_display_values is None:
              instance.group_display_values = [
                  instance.x[0, group[0]] if len(group) == 1 else ""
                  for group in data.groups
              ]
          assert len(instance.group_display_values) == len(data.groups)
          instance.groups = data.groups
  
imports: import copy
  import numpy
  import pandas
  import scipy.sparse
  from sklearn.cluster import KMeans
  from sklearn.impute import SimpleImputer
label_desc: Use image node_id 4 for calling a global function with example usage: match_instance_to_data(instance, data) without return types