code: def test_multiple_cleaners(unittest):
      df = pd.DataFrame(dict(foo=["a999b", " "]))
      data_id, column_type = "1", "cleaning"
      i = 0
      build_data_inst({data_id: df})
  
      cfg = {
          "col": "foo",
          "cleaners": ["drop_numbers", "space_vals_to_empty"],
      }
      builder = ColumnBuilder(
          data_id, column_type, "Col{}".format(++i), cfg
      )
      verify_builder(
          builder,
          lambda col: sum(col == "") == 1 and col.values[0] == "ab",
      )
  
imports: import pandas
  import pytest
  from dtale.column_builders import ColumnBuilder
  from tests.dtale import build_data_inst
  from tests.dtale.column_builders.test_column_builders import verify_builder
label_desc: Use image node_id 16 for calling a global function with example usage: test_multiple_cleaners(unittest) without return types