text: import ipywidgets as widgets
  from bqplot.colorschemes import CATEGORY20
  from bqplot import Axis, Figure, LinearScale, Lines
  import os
  from greenflow.dataframe_flow.config_nodes_modules import load_modules
  load_modules(os.getenv('MODULEPATH')+'/rapids_modules/')
  from rapids_modules.cuindicator import vortex_indicator as indicator_fun  # noqa #F401
  
  
  def get_para_widgets():
      para_selector = widgets.IntSlider(
          min=2, max=60, description="Vortex Indicator")
      para_selector_widgets = [para_selector]
      return para_selector_widgets
  
  
  def get_parameters(stock_df, para_selector_widgets):
      return (stock_df["high"], stock_df["low"],
              stock_df["close"]) + tuple(
          [w.value for w in para_selector_widgets])
  
  
  def process_outputs(output, stock_df):
      output.index = stock_df.index
  
      stock_df['out'] = output
      stock_df['out'] = output.fillna(0)
      return stock_df
  
  
  def create_figure(stock, dt_scale, sc, color_id,
                    f, indicator_figure_height,
                    figure_width, add_new_indicator):
      sc_co = LinearScale()
      ax_y = Axis(label='Vortex Indicator', scale=sc_co, orientation='vertical')
      new_line = Lines(x=stock.datetime.to_array(),
                       y=stock['out'].to_array(),
                       scales={'x': dt_scale, 'y': sc_co},
                       colors=[CATEGORY20[color_id[0]]])
      new_fig = Figure(marks=[new_line], axes=[ax_y])
      new_fig.layout.height = indicator_figure_height
      new_fig.layout.width = figure_width
      figs = [new_line]
      # add new figure
      add_new_indicator(new_fig)
      return figs
  