Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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55 lines
1.9 KiB
55 lines
1.9 KiB
4 years ago
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import pytest
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from numpy.testing import assert_, assert_array_equal, suppress_warnings
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try:
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import matplotlib
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matplotlib.rcParams['backend'] = 'Agg'
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import matplotlib.pyplot as plt
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has_matplotlib = True
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except Exception:
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has_matplotlib = False
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from scipy.spatial import \
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delaunay_plot_2d, voronoi_plot_2d, convex_hull_plot_2d, \
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Delaunay, Voronoi, ConvexHull
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@pytest.mark.skipif(not has_matplotlib, reason="Matplotlib not available")
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class TestPlotting:
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points = [(0,0), (0,1), (1,0), (1,1)]
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def test_delaunay(self):
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# Smoke test
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fig = plt.figure()
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obj = Delaunay(self.points)
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s_before = obj.simplices.copy()
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with suppress_warnings() as sup:
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# filter can be removed when matplotlib 1.x is dropped
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sup.filter(message="The ishold function was deprecated in version")
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r = delaunay_plot_2d(obj, ax=fig.gca())
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assert_array_equal(obj.simplices, s_before) # shouldn't modify
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assert_(r is fig)
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delaunay_plot_2d(obj, ax=fig.gca())
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def test_voronoi(self):
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# Smoke test
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fig = plt.figure()
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obj = Voronoi(self.points)
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with suppress_warnings() as sup:
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# filter can be removed when matplotlib 1.x is dropped
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sup.filter(message="The ishold function was deprecated in version")
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r = voronoi_plot_2d(obj, ax=fig.gca())
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assert_(r is fig)
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voronoi_plot_2d(obj)
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voronoi_plot_2d(obj, show_vertices=False)
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def test_convex_hull(self):
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# Smoke test
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fig = plt.figure()
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tri = ConvexHull(self.points)
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with suppress_warnings() as sup:
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# filter can be removed when matplotlib 1.x is dropped
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sup.filter(message="The ishold function was deprecated in version")
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r = convex_hull_plot_2d(tri, ax=fig.gca())
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assert_(r is fig)
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convex_hull_plot_2d(tri)
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