code: def _get_cols_to_test(train, y):
      cols_to_test = []
      for col, typ in train.types.items():
          for ctt in cols_to_test:
              if typ == train.types[ctt] or col == y:
                  break
          else:
              cols_to_test.append(col)
      return cols_to_test
  
imports: import sys
  import os
  import matplotlib
  import h2o
  import math
  import matplotlib.pyplot
  from tests import pyunit_utils
  from h2o.estimators import *
  from h2o.explanation._explain import *
  from h2o.explanation._explain import _handle_orig_values, _factor_mapper
  from h2o.two_dim_table import H2OTwoDimTable
label_desc: Use image node_id 7 for calling a global function with example usage: _get_cols_to_test(train, y) and returns: cols_to_test