code: def test_random():
      def _data():
          for i in range(100):
              a = i % 5
              b = i % 3
              c = i % 4
              yield dict(a=a, b=b, c=c, i=i)
  
      df = pd.DataFrame(list(_data()))
      data_id, column_type = "1", "random"
      i = 0
      build_data_inst({data_id: df})
  
      cfg = {"col": "i", "type": "float", "low": 0, "high": 5}
      builder = ColumnBuilder(
          data_id, column_type, "Col{}".format(++i), cfg
      )
      verify_builder(
          builder, lambda col: sum((col < 0) | (col > 5)) == 0
      )
  
imports: import numpy
  import pandas
  import pytest
  import sklearn
  from numpy.random import randn
  from pkg_resources import parse_version
  from six import PY3
  import dtale.pandas_util
  from dtale.column_builders import ColumnBuilder, ZERO_STD_ERROR
  from tests.dtale import build_data_inst
label_desc: Use image node_id 2 for calling a global function with example usage: test_random() without return types