code: def component_callbacks(self, app):
      @app.callback(
          [
              Output(
                  "shap-dependence-color-col-" + self.name, "options"
              ),
              Output("shap-dependence-color-col-" + self.name, "value"),
              Output(
                  "shap-dependence-categories-div1-" + self.name,
                  "style",
              ),
              Output(
                  "shap-dependence-categories-div2-" + self.name,
                  "style",
              ),
          ],
          [Input("shap-dependence-col-" + self.name, "value")],
          [State("pos-label-" + self.name, "value")],
      )
      def set_color_col_dropdown(col, pos_label):
          sorted_interact_cols = self.explainer.top_shap_interactions(
              col, pos_label=pos_label
          )
          options = [
              {"label": col, "value": col}
              for col in sorted_interact_cols
          ] + [dict(label="None", value="no_color_col")]
          if col in self.explainer.cat_cols:
              value = None
              style = dict()
          else:
              value = sorted_interact_cols[1]
              style = dict(display="none")
          return (options, value, style, style)
  
      @app.callback(
          Output("shap-dependence-graph-" + self.name, "figure"),
          [
              Input("shap-dependence-color-col-" + self.name, "value"),
              Input("shap-dependence-index-" + self.name, "value"),
              Input(
                  "shap-dependence-n-categories-" + self.name, "value"
              ),
              Input(
                  "shap-dependence-categories-sort-" + self.name,
                  "value",
              ),
              Input("shap-dependence-outliers-" + self.name, "value"),
              Input("pos-label-" + self.name, "value"),
          ],
          [State("shap-dependence-col-" + self.name, "value")],
      )
      def update_dependence_graph(
          color_col, index, topx, sort, remove_outliers, pos_label, col
      ):
          if col is not None:
              if color_col == "no_color_col":
                  color_col, index = None, None
              return self.explainer.plot_dependence(
                  col,
                  color_col,
                  topx=topx,
                  sort=sort,
                  highlight_index=index,
                  max_cat_colors=self.max_cat_colors,
                  plot_sample=self.plot_sample,
                  remove_outliers=bool(remove_outliers),
                  pos_label=pos_label,
              )
          raise PreventUpdate
  
imports: import dash
  from dash import html, dcc, Input, Output, State
  from dash.exceptions import PreventUpdate
  import dash_bootstrap_components
  from ..dashboard_methods import *
  from ..None import to_html
label_desc: Use image node_id 4 for calling the ShapDependenceComponent obj's underlying member method code with example usage: obj.component_callbacks(app) and returns: options,  value,  style,  style, self