Suppress warnings in tests.

anntzer · anntzer · commit 24cb5a0b2d8c · 2019-04-11T12:25:05.000+02:00
Handles
- stem(..., use_line_collection=True).
- deprecation of cbook.dedent, cbook.is_hashable, mlab.demean,
  transforms.Log10Transform.

Explicitly check for numpy's warning when imshow()ing an image with only
nans.

Catch an "expected" warning in test_ttconv (the warning is only emitted
when the figure is being saved, so we can't actually assert it).
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
@@ -3091,10 +3091,10 @@ def test_stem_args():
     y = list(range(10))
 
     # Test the call signatures
-    ax.stem(y)
-    ax.stem(x, y)
-    ax.stem(x, y, 'r--')
-    ax.stem(x, y, 'r--', basefmt='b--')
+    ax.stem(y, use_line_collection=True)
+    ax.stem(x, y, use_line_collection=True)
+    ax.stem(x, y, 'r--', use_line_collection=True)
+    ax.stem(x, y, 'r--', basefmt='b--', use_line_collection=True)
 
 
 def test_stem_dates():
@@ -3106,7 +3106,7 @@ def test_stem_dates():
     x1 = parser.parse("2013-9-28 12:00:00")
     y1 = 200
 
-    ax.stem([x, x1], [y, y1], "*-")
+    ax.stem([x, x1], [y, y1], "*-", use_line_collection=True)
 
 
 @image_comparison(baseline_images=['hist_stacked_stepfilled_alpha'])
diff --git a/lib/matplotlib/tests/test_basic.py b/lib/matplotlib/tests/test_basic.py
@@ -1,9 +1,9 @@
 import builtins
 import subprocess
 import sys
+import textwrap
 
 import matplotlib
-from matplotlib.cbook import dedent
 
 
 def test_simple():
@@ -36,7 +36,7 @@ def test_override_builtins():
 
 
 def test_lazy_imports():
-    source = dedent("""
+    source = textwrap.dedent("""
     import sys
 
     import matplotlib.figure
diff --git a/lib/matplotlib/tests/test_cbook.py b/lib/matplotlib/tests/test_cbook.py
@@ -18,11 +18,11 @@
 
 
 def test_is_hashable():
-    s = 'string'
-    assert cbook.is_hashable(s)
-
-    lst = ['list', 'of', 'stings']
-    assert not cbook.is_hashable(lst)
+    with pytest.warns(MatplotlibDeprecationWarning):
+        s = 'string'
+        assert cbook.is_hashable(s)
+        lst = ['list', 'of', 'stings']
+        assert not cbook.is_hashable(lst)
 
 
 class Test_delete_masked_points(object):
diff --git a/lib/matplotlib/tests/test_container.py b/lib/matplotlib/tests/test_container.py
@@ -3,7 +3,7 @@
 
 def test_stem_remove():
     ax = plt.gca()
-    st = ax.stem([1, 2], [1, 2])
+    st = ax.stem([1, 2], [1, 2], use_line_collection=True)
     st.remove()
 
 
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
@@ -943,13 +943,10 @@ def test_imshow_bool():
 
 
 def test_full_invalid():
-    x = np.ones((10, 10))
-    x[:] = np.nan
-
-    f, ax = plt.subplots()
-    ax.imshow(x)
-
-    f.canvas.draw()
+    fig, ax = plt.subplots()
+    ax.imshow(np.full((10, 10), np.nan))
+    with pytest.warns(UserWarning):
+        fig.canvas.draw()
 
 
 @pytest.mark.parametrize("fmt,counted",
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
@@ -908,7 +908,8 @@ def test_detrend_1D_d1_ValueError(self):
 
     def test_demean_1D_d1_ValueError(self):
         input = self.sig_slope
-        with pytest.raises(ValueError):
+        with pytest.raises(ValueError), \
+             pytest.warns(MatplotlibDeprecationWarning):
             mlab.demean(input, axis=1)
 
     def test_detrend_mean_2D_d2_ValueError(self):
@@ -923,7 +924,8 @@ def test_detrend_2D_d2_ValueError(self):
 
     def test_demean_2D_d2_ValueError(self):
         input = self.sig_slope[np.newaxis]
-        with pytest.raises(ValueError):
+        with pytest.raises(ValueError), \
+             pytest.warns(MatplotlibDeprecationWarning):
             mlab.demean(input, axis=2)
 
     def test_detrend_linear_0D_zeros(self):
diff --git a/lib/matplotlib/tests/test_tightlayout.py b/lib/matplotlib/tests/test_tightlayout.py
@@ -324,4 +324,5 @@ def test_collapsed():
         p2 = ax.get_position()
         assert p1.width == p2.width
     # test that passing a rect doesn't crash...
-    plt.tight_layout(rect=[0, 0, 0.8, 0.8])
+    with pytest.warns(UserWarning):
+        plt.tight_layout(rect=[0, 0, 0.8, 0.8])
diff --git a/lib/matplotlib/tests/test_transforms.py b/lib/matplotlib/tests/test_transforms.py
@@ -186,8 +186,8 @@ def test_clipping_of_log():
     path = Path(points, codes)
 
     # something like this happens in plotting logarithmic histograms
-    trans = mtransforms.BlendedGenericTransform(mtransforms.Affine2D(),
-                                            LogScale.Log10Transform('clip'))
+    trans = mtransforms.BlendedGenericTransform(
+        mtransforms.Affine2D(), LogScale.LogTransform(10, 'clip'))
     tpath = trans.transform_path_non_affine(path)
     result = tpath.iter_segments(trans.get_affine(),
                                  clip=(0, 0, 100, 100),
diff --git a/lib/matplotlib/tests/test_ttconv.py b/lib/matplotlib/tests/test_ttconv.py
@@ -1,16 +1,18 @@
+from pathlib import Path
+
 import matplotlib
 from matplotlib.font_manager import FontProperties
 from matplotlib.testing.decorators import image_comparison
 import matplotlib.pyplot as plt
-import os.path
 
 
 @image_comparison(baseline_images=["truetype-conversion"],
                   extensions=["pdf"])
-def test_truetype_conversion():
-    fontname = os.path.join(os.path.dirname(__file__), 'mpltest.ttf')
-    fontname = os.path.abspath(fontname)
-    fontprop = FontProperties(fname=fontname, size=80)
+# mpltest.ttf does not have "l"/"p" glyphs so we get a warning when trying to
+# get the font extents.
+def test_truetype_conversion(recwarn):
+    fontprop = FontProperties(
+        fname=str(Path(__file__).with_name('mpltest.ttf').resolve()), size=80)
     matplotlib.rcParams['pdf.fonttype'] = 3
     fig, ax = plt.subplots()
     ax.text(0, 0, "ABCDE", fontproperties=fontprop)
