code: def test_logscale_nonpos_values():
      np.random.seed(19680801)
      xs = np.random.normal(size=int(1e3))
      fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
      ax1.hist(xs, range=(-5, 5), bins=10)
      ax1.set_yscale("log")
      ax2.hist(xs, range=(-5, 5), bins=10)
      ax2.set_yscale("log", nonpositive="mask")
  
      xdata = np.arange(0, 10, 0.01)
      ydata = np.exp(-xdata)
      edata = 0.2 * (10 - xdata) * np.cos(5 * xdata) * np.exp(-xdata)
  
      ax3.fill_between(xdata, ydata - edata, ydata + edata)
      ax3.set_yscale("log")
  
      x = np.logspace(-1, 1)
      y = x**3
      yerr = x**2
      ax4.errorbar(x, y, yerr=yerr)
  
      ax4.set_yscale("log")
      ax4.set_xscale("log")
  
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 10 for calling a global function with example usage: test_logscale_nonpos_values() without return types