code: def test_logscale_invert_transform():
      fig, ax = plt.subplots()
      ax.set_yscale("log")
      # get transformation from data to axes
      tform = (ax.transAxes + ax.transData.inverted()).inverted()
  
      # direct test of log transform inversion
      inverted_transform = LogTransform(base=2).inverted()
      assert isinstance(inverted_transform, InvertedLogTransform)
      assert inverted_transform.base == 2
  
imports: import copy
  import matplotlib.pyplot
  from matplotlib.scale import AsinhScale, AsinhTransform, LogTransform, InvertedLogTransform, SymmetricalLogTransform
  import matplotlib.scale
  from matplotlib.ticker import AsinhLocator, LogFormatterSciNotation
  from matplotlib.testing.decorators import check_figures_equal, image_comparison
  import numpy
  from numpy.testing import assert_allclose
  import io
  import pytest
label_desc: Use image node_id 8 for calling a global function with example usage: test_logscale_invert_transform() without return types