code: def test_data_slope():
      df = pd.DataFrame({"entity": [5, 7, 5, 5, 5, 6, 3, 2, 0, 5]})
      data_id, column_type = "1", "data_slope"
      build_data_inst({data_id: df})
  
      cfg = {"col": "entity"}
      builder = ColumnBuilder(
          data_id, column_type, "entity_data_slope", cfg
      )
      verify_builder(builder, lambda col: col.sum() == 35)
  
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 15 for calling a global function with example usage: test_data_slope() without return types