docs: def opensignals_style(figure_list, grid_plot=None, toolbar="right"):
      """
      -----
      Brief
      -----
      Function used to automatically apply the OpenSignals graphical style to Bokeh plots.
  
      -----------
      Description
      -----------
      OpenSignals has its own graphical style and Bokeh plots function in an object oriented way.
  
      This function allows to apply the Opensignals graphical style to a set of Bokeh figures objects given as inputs.
  
      ----------
      Parameters
      ----------
      figure_list : bokeh figure/s
          The base object/s where the graphical functions will be applied.
  
      grid_plot : bokeh gridplot
          Contains the layout structure, where multiple bokeh figures are represented.
  
      toolbar : str
          String defining the toolbar position.
  
      """
  
      for fig in figure_list:
          fig.background_fill_color = (242, 242, 242)
  
          fig.toolbar.active_scroll = fig.select_one(WheelZoomTool)
  
          # Removal of unnecessary tools.
          figure_tools = fig.tools
          for tool in range(len(figure_tools) - 1, -1, -1):
              if not isinstance(figure_tools[tool], (type(PanTool()), type(BoxZoomTool()),
                                                     type(WheelZoomTool()), type(ResetTool()))):
                  del figure_tools[tool]
  
          fig.sizing_mode = 'scale_width'
          fig.height = 200
          fig.toolbar.logo = None
          fig.toolbar_location = toolbar
  
          fig.xgrid.grid_line_color = (150, 150, 150)
          fig.ygrid.grid_line_color = (150, 150, 150)
  
          fig.xgrid.grid_line_dash = [2, 2]
  
          fig.xaxis.major_tick_line_color = "white"
          fig.xaxis.minor_tick_line_color = "white"
          fig.xaxis.axis_line_color = "white"
          fig.yaxis.major_tick_in = 0
          fig.yaxis.major_tick_out = 0
  
          fig.yaxis.major_tick_line_color = "white"
          fig.yaxis.minor_tick_line_color = "white"
          fig.yaxis.minor_tick_in = 0
          fig.yaxis.minor_tick_out = 0
          fig.yaxis.axis_line_color = (150, 150, 150)
          fig.yaxis.axis_line_dash = [2, 2]
  
          fig.yaxis.major_label_text_color = (88, 88, 88)
          fig.xaxis.major_label_text_color = (88, 88, 88)
  
          fig.ygrid.grid_line_dash = [2, 2]
  
      if isinstance(grid_plot, list):
          if grid_plot:
              for g_plot in grid_plot:
                  g_plot.sizing_mode = 'scale_width'
                  g_plot.height = 600