old_contents: def _swatches(module_names, module_contents, template=None):
      """
      Parameters
      ----------
  
      template : str or dict or plotly.graph_objects.layout.Template instance
          The figure template name or definition.
  
      Returns
      -------
  
      fig : graph_objects.Figure containing the displayed image
          A `Figure` object. This figure demonstrates the color scales and
          sequences in this module, as stacked bar charts.
      """
      import plotly.graph_objs as go
      from plotly.express._core import apply_default_cascade
  
      args = dict(template=template)
      apply_default_cascade(args)
  
      sequences = [
          (k, v)
          for k, v in module_contents.items()
          if not (k.startswith("_") or k == "swatches")
      ]
  
      return go.Figure(
          data=[
              go.Bar(
                  orientation="h",
                  y=[name] * len(colors),
                  x=[1] * len(colors),
                  customdata=list(range(len(colors))),
                  marker=dict(color=colors),
                  hovertemplate="%{y}[%{customdata}] = %{marker.color}<extra></extra>",
              )
              for name, colors in reversed(sequences)
          ],
          layout=dict(
              title="plotly.colors." + module_names.split(".")[-1],
              barmode="stack",
              barnorm="fraction",
              bargap=0.5,
              showlegend=False,
              xaxis=dict(range=[-0.02, 1.02], showticklabels=False, showgrid=False),
              height=max(600, 40 * len(sequences)),
              template=args["template"],
          ),
      )
  
new_contents: def _swatches(module_names, module_contents, template=None):
      """
      Parameters
      ----------
      template : str or dict or plotly.graph_objects.layout.Template instance
          The figure template name or definition.
  
      Returns
      -------
      fig : graph_objects.Figure containing the displayed image
          A `Figure` object. This figure demonstrates the color scales and
          sequences in this module, as stacked bar charts.
      """
      import plotly.graph_objs as go
      from plotly.express._core import apply_default_cascade
  
      args = dict(template=template)
      apply_default_cascade(args)
  
      sequences = [
          (k, v)
          for k, v in module_contents.items()
          if not (k.startswith("_") or k == "swatches")
      ]
  
      return go.Figure(
          data=[
              go.Bar(
                  orientation="h",
                  y=[name] * len(colors),
                  x=[1] * len(colors),
                  customdata=list(range(len(colors))),
                  marker=dict(color=colors),
                  hovertemplate="%{y}[%{customdata}] = %{marker.color}<extra></extra>",
              )
              for name, colors in reversed(sequences)
          ],
          layout=dict(
              title="plotly.colors." + module_names.split(".")[-1],
              barmode="stack",
              barnorm="fraction",
              bargap=0.5,
              showlegend=False,
              xaxis=dict(range=[-0.02, 1.02], showticklabels=False, showgrid=False),
              height=max(600, 40 * len(sequences)),
              template=args["template"],
          ),
      )
  
subject: Apply suggestions from code review