code: def test_logit_scales():
      fig, ax = plt.subplots()
  
      # Typical extinction curve for logit
      x = np.array(
          [
              0.001,
              0.003,
              0.01,
              0.03,
              0.1,
              0.2,
              0.3,
              0.4,
              0.5,
              0.6,
              0.7,
              0.8,
              0.9,
              0.97,
              0.99,
              0.997,
              0.999,
          ]
      )
      y = 1.0 / x
  
      ax.plot(x, y)
      ax.set_xscale("logit")
      ax.grid(True)
      bbox = ax.get_tightbbox(fig.canvas.get_renderer())
      assert np.isfinite(bbox.x0)
      assert np.isfinite(bbox.y0)
  
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 3 for calling a global function with example usage: test_logit_scales() without return types