test_patch_bounds: use numpy in place of math/sys

J. Scott Berg · J. Scott Berg · commit 039e4163b543 · 2020-12-22T13:13:13.000-05:00
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
@@ -34,8 +34,6 @@
     assert_allclose, assert_array_equal, assert_array_almost_equal)
 from matplotlib import rc_context
 from matplotlib.cbook import MatplotlibDeprecationWarning
-import sys
-import math
 
 # Note: Some test cases are run twice: once normally and once with labeled data
 #       These two must be defined in the same test function or need to have
@@ -6930,11 +6928,7 @@ def test_bar_label_labels():
 
 def test_patch_bounds():  # PR 19078
     fig, ax = plt.subplots()
-    tol = 16*sys.float_info.epsilon
     ax.add_patch(mpatches.Wedge((0, -1), 1.05, 60, 120, 0.1))
-    bounds = ax.dataLim.bounds
-    bot = 1.9*math.sin(15*math.pi/180)**2
-    assert abs(bounds[0]+0.525) < tol and \
-           abs(bounds[1]+(bot+0.05)) < tol and \
-           abs(bounds[2]-1.05) < tol and \
-           abs(bounds[3]-(bot+0.1)) < tol
+    bot = 1.9*np.sin(15*np.pi/180)**2
+    np.testing.assert_array_almost_equal_nulp(
+        np.array((-0.525, -(bot+0.05), 1.05, bot+0.1)), ax.dataLim.bounds, 16)
