code: def _summarize_coefficients(top_coefs, bottom_coefs):
      """
      Return a tuple of sections and section titles.
      Sections are pretty print of model coefficients
  
      Parameters
      ----------
      top_coefs : SFrame of top k coefficients
  
      bottom_coefs : SFrame of bottom k coefficients
  
      Returns
      -------
      (sections, section_titles) : tuple
              sections : list
                  summary sections for top/bottom k coefficients
              section_titles : list
                  summary section titles
      """
  
      def get_row_name(row):
          if row["index"] is None:
              return row["name"]
          else:
              return "%s[%s]" % (row["name"], row["index"])
  
      if len(top_coefs) == 0:
          top_coefs_list = [
              ("No Positive Coefficients", _precomputed_field(""))
          ]
      else:
          top_coefs_list = [
              (get_row_name(row), _precomputed_field(row["value"]))
              for row in top_coefs
          ]
  
      if len(bottom_coefs) == 0:
          bottom_coefs_list = [
              ("No Negative Coefficients", _precomputed_field(""))
          ]
      else:
          bottom_coefs_list = [
              (get_row_name(row), _precomputed_field(row["value"]))
              for row in bottom_coefs
          ]
  
      return (
          [top_coefs_list, bottom_coefs_list],
          [
              "Highest Positive Coefficients",
              "Lowest Negative Coefficients",
          ],
      )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from ..data_structures.sframe import SArray
  from ..data_structures.sframe import SFrame
  from ..data_structures.sgraph import SGraph
  from ..data_structures.sgraph import Vertex
  from ..data_structures.sgraph import Edge
  from .._cython.cy_sarray import UnitySArrayProxy
  from .._cython.cy_sframe import UnitySFrameProxy
  from .._cython.cy_graph import UnityGraphProxy
  from ..toolkits._main import ToolkitError
  import json
  import six
label_desc: Use image node_id 7 for calling a global function with example usage: _summarize_coefficients(top_coefs, bottom_coefs) and returns: list,  list, row, unknown