code: def test_setting_limits_transformed():
      lst = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
  
      s = scale_y_continuous(trans="log10")
      s.train(lst)
      assert s.limits == (1, 10)
  
      s = scale_y_continuous(trans="log10", limits=[2, 7])
      s.train(lst)
      assert s.limits == (np.log10(2), np.log10(7))
  
      s = scale_y_continuous(trans="log10", limits=[2, None])
      s.train(lst)
      assert s.limits == (np.log10(2), np.log10(10))
  
      s = scale_y_continuous(trans="log10", limits=[None, 7])
      s.train(lst)
      assert s.limits == (np.log10(1), np.log10(7))
  
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 15 for calling a global function with example usage: test_setting_limits_transformed() without return types