[Debian-astro-maintainers] Bug#1074625: astroml: fails tests with matplotlib 3.8

[Drew Parsons]

Source: astroml
Version: 1.0.2-4
Severity: normal

astroml is failing debci tests with matplotlib 3.8 from experimental

 95s =================================== FAILURES ===================================
 95s ____________________________ test_devectorize_axes _____________________________
 95s 
 95s     def test_devectorize_axes():
 95s         np.random.seed(0)
 95s     
 95s         x, y = np.random.random((2, 1000))
 95s     
 95s         # save vectorized version
 95s         fig = plt.figure()
 95s         ax = fig.add_subplot(111)
 95s         ax.scatter(x, y)
 95s         output = BytesIO()
 95s         fig.savefig(output)
 95s         output.seek(0)
 95s         im1 = image.imread(output)
 95s         plt.close()
 95s     
 95s         # save devectorized version
 95s         fig = plt.figure()
 95s         ax = fig.add_subplot(111)
 95s         ax.scatter(x, y)
 95s >       devectorize_axes(ax, dpi=200)
 95s 
 95s /usr/lib/python3/dist-packages/astroML/plotting/tests/test_devectorize.py:35: 
 95s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
 95s 
 95s ax = <Axes: >, dpi = 200, transparent = True
 95s 
 95s     def devectorize_axes(ax=None, dpi=None, transparent=True):
 95s         """Convert axes contents to a png.
 95s     
 95s         This is useful when plotting many points, as the size of the saved file
 95s         can become very large otherwise.
 95s     
 95s         Parameters
 95s         ----------
 95s         ax : Axes instance (optional)
 95s             Axes to de-vectorize.  If None, this uses the current active axes
 95s             (plt.gca())
 95s         dpi: int (optional)
 95s             resolution of the png image.  If not specified, the default from
 95s             'savefig.dpi' in rcParams will be used
 95s         transparent : bool (optional)
 95s             if True (default) then the PNG will be made transparent
 95s     
 95s         Returns
 95s         -------
 95s         ax : Axes instance
 95s             the in-place modified Axes instance
 95s     
 95s         Examples
 95s         --------
 95s         The code can be used in the following way::
 95s     
 95s         >>> import matplotlib.pyplot as plt
 95s         >>> import numpy as np
 95s         >>> from astroML.plotting.tools import devectorize_axes
 95s         >>> fig, ax = plt.subplots()
 95s         >>> x, y = np.random.random((2, 10000))
 95s         >>> ax.scatter(x, y)   # doctest: +IGNORE_OUTPUT
 95s         >>> devectorize_axes(ax)   # doctest: +IGNORE_OUTPUT
 95s     
 95s         The resulting figure will be much smaller than the vectorized version.
 95s         """
 95s         if ax is None:
 95s             ax = plt.gca()
 95s     
 95s         fig = ax.figure
 95s         axlim = ax.axis()
 95s     
 95s         # setup: make all visible spines (axes & ticks) & text invisible
 95s         # we need to set these back later, so we save their current state
 95s         _sp = {}
 95s         _txt_vis = [t.get_visible() for t in ax.texts]
 95s         for k in ax.spines:
 95s             _sp[k] = ax.spines[k].get_visible()
 95s             ax.spines[k].set_visible(False)
 95s         for t in ax.texts:
 95s             t.set_visible(False)
 95s     
 95s         _xax = ax.xaxis.get_visible()
 95s         _yax = ax.yaxis.get_visible()
 95s         _patch = ax.patch.get_visible()
 95s         ax.patch.set_visible(False)
 95s         ax.xaxis.set_visible(False)
 95s         ax.yaxis.set_visible(False)
 95s     
 95s         # convert canvas to PNG
 95s         extents = ax.bbox.extents / fig.dpi
 95s         output = BytesIO()
 95s         plt.savefig(output, format='png', dpi=dpi,
 95s                     transparent=transparent,
 95s                     bbox_inches=Bbox([extents[:2], extents[2:]]))
 95s         output.seek(0)
 95s         im = image.imread(output)
 95s     
 95s         # clear everything on axis (but not text)
 95s >       ax.lines.clear()
 95s E       AttributeError: 'ArtistList' object has no attribute 'clear'
 95s 
 95s /usr/lib/python3/dist-packages/astroML/plotting/tools.py:81: AttributeError