code: def test_legend_ordering_added_scales():
      # The first added scale comes first
      # 1. color
      # 2. shape
      p = (
          ggplot(data)
          + aes("x", "y")
          + geom_point(aes(shape="z", color="w"), size=5)
          + scale_color.scale_color_discrete()
      )
  
      assert p == "legend_ordering_added_scales"
  
imports: import warnings
  from datetime import datetime
  import numpy
  import numpy.testing
  import pandas
  import pytest
  import plotnine
  from plotnine import aes, annotate, element_text, expand_limits, facet_wrap, geom_bar, geom_col, geom_point, ggplot, lims, theme
  from plotnine.exceptions import PlotnineError, PlotnineWarning
  from plotnine.scales import scale_color, scale_color_manual, scale_identity, scale_manual, scale_xy
  from plotnine.scales.scale_alpha import scale_alpha_continuous, scale_alpha_discrete
  from plotnine.scales.scale_linetype import scale_linetype_continuous, scale_linetype_discrete
  from plotnine.scales.scale_manual import _scale_manual
  from plotnine.scales.scale_shape import scale_shape_continuous, scale_shape_discrete
  from plotnine.scales.scale_size import scale_size_area, scale_size_continuous, scale_size_discrete, scale_size_radius
  from plotnine.scales.scale_xy import scale_x_continuous, scale_x_discrete, scale_x_log10, scale_y_continuous
  from plotnine.scales.scales import make_scale
label_desc: Use image node_id 39 for calling a global function with example usage: test_legend_ordering_added_scales() without return types