code: def test_layer_with_only_infs():
      data = pd.DataFrame({"x": ["a", "b"]})
      p = (
          ggplot(data, aes("x", "x"))
          + annotate(
              "rect",
              xmin=-np.inf,
              xmax=np.inf,
              ymin=-np.inf,
              ymax=np.inf,
              fill="black",
              alpha=0.25,
          )
          + geom_point(color="red", size=3)
      )
      p = p.build_test()
      assert isinstance(p.scales.get_scales("x"), scale_x_discrete)
  
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 45 for calling a global function with example usage: test_layer_with_only_infs() without return types