PKGBUILDs/community/python2-matplotlib/python2-matplotlib-13181.diff

diff --git a/lib/matplotlib/backends/backend_agg.py b/lib/matplotlib/backends/backend_agg.py
index aff6cddf492..491a9b2c5d6 100644
--- a/lib/matplotlib/backends/backend_agg.py
+++ b/lib/matplotlib/backends/backend_agg.py
@@ -391,7 +391,7 @@ def post_processing(image, dpi):
         self._update_methods()
 
         if w > 0 and h > 0:
-            img = np.fromstring(buffer, np.uint8)
+            img = np.frombuffer(buffer, np.uint8)
             img, ox, oy = post_processing(img.reshape((h, w, 4)) / 255.,
                                           self.dpi)
             gc = self.new_gc()
diff --git a/lib/matplotlib/dates.py b/lib/matplotlib/dates.py
index 2712d64291a..290341146d8 100644
--- a/lib/matplotlib/dates.py
+++ b/lib/matplotlib/dates.py
@@ -1369,10 +1369,9 @@ def get_locator(self, dmin, dmax):
         else:
             locator = MicrosecondLocator(interval, tz=self.tz)
             if dmin.year > 20 and interval < 1000:
-                _log.warn('Plotting microsecond time intervals is not'
-                          ' well supported. Please see the'
-                          ' MicrosecondLocator documentation'
-                          ' for details.')
+                _log.warning('Plotting microsecond time intervals is not well '
+                             'supported. Please see the MicrosecondLocator '
+                             'documentation for details.')
 
         locator.set_axis(self.axis)
 
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
index 58a28c8f689..3bdcccf4882 100644
--- a/lib/matplotlib/image.py
+++ b/lib/matplotlib/image.py
@@ -1447,9 +1447,9 @@ def pil_to_array(pilImage):
         # return MxN luminance array of uint16
         raw = pilImage.tobytes('raw', pilImage.mode)
         if pilImage.mode.endswith('B'):
-            x = np.fromstring(raw, '>u2')
+            x = np.frombuffer(raw, '>u2')
         else:
-            x = np.fromstring(raw, '<u2')
+            x = np.frombuffer(raw, '<u2')
         return x.reshape(pilImage.size[::-1]).astype('=u2')
     else:  # try to convert to an rgba image
         try:
diff --git a/lib/matplotlib/testing/conftest.py b/lib/matplotlib/testing/conftest.py
index 9dc180c9600..fb306594780 100644
--- a/lib/matplotlib/testing/conftest.py
+++ b/lib/matplotlib/testing/conftest.py
@@ -24,19 +24,19 @@ def mpl_test_settings(request):
     original_settings = matplotlib.rcParams.copy()
 
     backend = None
-    backend_marker = request.keywords.get('backend')
+    backend_marker = request.node.get_closest_marker('backend')
     if backend_marker is not None:
         assert len(backend_marker.args) == 1, \
             "Marker 'backend' must specify 1 backend."
-        backend = backend_marker.args[0]
+        backend, = backend_marker.args
         prev_backend = matplotlib.get_backend()
 
     style = '_classic_test'  # Default of cleanup and image_comparison too.
-    style_marker = request.keywords.get('style')
+    style_marker = request.node.get_closest_marker('style')
     if style_marker is not None:
         assert len(style_marker.args) == 1, \
             "Marker 'style' must specify 1 style."
-        style = style_marker.args[0]
+        style, = style_marker.args
 
     matplotlib.testing.setup()
     if backend is not None:
@@ -64,7 +64,7 @@ def mpl_image_comparison_parameters(request, extension):
     # pytest won't get confused.
     # We annotate the decorated function with any parameters captured by this
     # fixture so that they can be used by the wrapper in image_comparison.
-    baseline_images = request.keywords['baseline_images'].args[0]
+    baseline_images, = request.node.get_closest_marker('baseline_images').args
     if baseline_images is None:
         # Allow baseline image list to be produced on the fly based on current
         # parametrization.
diff --git a/lib/matplotlib/testing/decorators.py b/lib/matplotlib/testing/decorators.py
index 0ce6e625249..d008446dcbf 100644
--- a/lib/matplotlib/testing/decorators.py
+++ b/lib/matplotlib/testing/decorators.py
@@ -223,15 +223,25 @@ def _xfail_if_format_is_uncomparable(extension):
 
 def _mark_xfail_if_format_is_uncomparable(extension):
     if isinstance(extension, six.string_types):
-        will_fail = extension not in comparable_formats()
+        name = extension
+        marks = []
+    elif isinstance(extension, tuple):
+        # Extension might be a pytest ParameterSet instead of a plain string.
+        # Unfortunately, this type is not exposed, so since it's a namedtuple,
+        # check for a tuple instead.
+        name = extension.values[0]
+        marks = list(extension.marks)
     else:
         # Extension might be a pytest marker instead of a plain string.
-        will_fail = extension.args[0] not in comparable_formats()
-    if will_fail:
-        fail_msg = 'Cannot compare %s files on this system' % extension
+        name = extension.args[0]
+        marks = [extension.mark]
+
+    if name not in comparable_formats():
+        fail_msg = 'Cannot compare %s files on this system' % (name, )
         import pytest
-        return pytest.mark.xfail(extension, reason=fail_msg, strict=False,
-                                 raises=ImageComparisonFailure)
+        marks += [pytest.mark.xfail(reason=fail_msg, strict=False,
+                                    raises=ImageComparisonFailure)]
+        return pytest.param(name, marks=marks)
     else:
         return extension
 
diff --git a/lib/matplotlib/tests/test_backend_pdf.py b/lib/matplotlib/tests/test_backend_pdf.py
index 13fa0374ec7..c028eed8f2e 100644
--- a/lib/matplotlib/tests/test_backend_pdf.py
+++ b/lib/matplotlib/tests/test_backend_pdf.py
@@ -8,6 +8,7 @@
 import os
 import sys
 import tempfile
+import warnings
 
 import numpy as np
 import pytest
@@ -20,9 +21,11 @@
                                             _determinism_check)
 
 
-needs_usetex = pytest.mark.xfail(
-    not checkdep_usetex(True),
-    reason="This test needs a TeX installation")
+with warnings.catch_warnings():
+    warnings.simplefilter('ignore')
+    needs_usetex = pytest.mark.skipif(
+        not checkdep_usetex(True),
+        reason="This test needs a TeX installation")
 
 
 @image_comparison(baseline_images=['pdf_use14corefonts'],
diff --git a/lib/matplotlib/tests/test_backend_ps.py b/lib/matplotlib/tests/test_backend_ps.py
index 8bf6e7dde38..46cb355c986 100644
--- a/lib/matplotlib/tests/test_backend_ps.py
+++ b/lib/matplotlib/tests/test_backend_ps.py
@@ -4,6 +4,7 @@
 
 import io
 import re
+import warnings
 
 import numpy as np
 import pytest
@@ -17,27 +18,30 @@
                                             _determinism_check)
 
 
-needs_ghostscript = pytest.mark.xfail(
-    matplotlib.checkdep_ghostscript()[0] is None,
-    reason="This test needs a ghostscript installation")
-
-
-needs_usetex = pytest.mark.xfail(
-    not matplotlib.checkdep_usetex(True),
-    reason="This test needs a TeX installation")
+with warnings.catch_warnings():
+    warnings.simplefilter('ignore')
+    needs_ghostscript = pytest.mark.skipif(
+        matplotlib.checkdep_ghostscript()[0] is None,
+        reason="This test needs a ghostscript installation")
+    needs_usetex = pytest.mark.skipif(
+        not matplotlib.checkdep_usetex(True),
+        reason="This test needs a TeX installation")
 
 
 # This tests tends to hit a TeX cache lock on AppVeyor.
 @pytest.mark.flaky(reruns=3)
 @pytest.mark.parametrize('format, use_log, rcParams', [
     ('ps', False, {}),
-    needs_ghostscript(('ps', False, {'ps.usedistiller': 'ghostscript'})),
-    needs_usetex(needs_ghostscript(('ps', False, {'text.latex.unicode': True,
-                                                  'text.usetex': True}))),
+    pytest.param('ps', False, {'ps.usedistiller': 'ghostscript'},
+                 marks=needs_ghostscript),
+    pytest.param('ps', False, {'text.latex.unicode': True,
+                               'text.usetex': True},
+                 marks=[needs_ghostscript, needs_usetex]),
     ('eps', False, {}),
     ('eps', True, {'ps.useafm': True}),
-    needs_usetex(needs_ghostscript(('eps', False, {'text.latex.unicode': True,
-                                                   'text.usetex': True}))),
+    pytest.param('eps', False, {'text.latex.unicode': True,
+                                'text.usetex': True},
+                 marks=[needs_ghostscript, needs_usetex]),
 ], ids=[
     'ps',
     'ps with distiller',
diff --git a/lib/matplotlib/tests/test_backend_qt4.py b/lib/matplotlib/tests/test_backend_qt4.py
index a621329772e..ede4bca9078 100644
--- a/lib/matplotlib/tests/test_backend_qt4.py
+++ b/lib/matplotlib/tests/test_backend_qt4.py
@@ -29,7 +29,7 @@
     py_qt_ver = QtCore.__version_info__[0]
 
 if py_qt_ver != 4:
-    pytestmark = pytest.mark.xfail(reason='Qt4 is not available')
+    pytestmark = pytest.mark.skipif(reason='Qt4 is not available')
 
 
 @pytest.mark.backend('Qt4Agg')
diff --git a/lib/matplotlib/tests/test_backend_svg.py b/lib/matplotlib/tests/test_backend_svg.py
index e0cbdfa8bce..da93e2d3880 100644
--- a/lib/matplotlib/tests/test_backend_svg.py
+++ b/lib/matplotlib/tests/test_backend_svg.py
@@ -6,6 +6,7 @@
 from io import BytesIO
 import os
 import tempfile
+import warnings
 import xml.parsers.expat
 
 import pytest
@@ -16,9 +17,11 @@
 from matplotlib import dviread
 
 
-needs_usetex = pytest.mark.xfail(
-    not matplotlib.checkdep_usetex(True),
-    reason="This test needs a TeX installation")
+with warnings.catch_warnings():
+    warnings.simplefilter('ignore')
+    needs_usetex = pytest.mark.skipif(
+        not matplotlib.checkdep_usetex(True),
+        reason="This test needs a TeX installation")
 
 
 def test_visibility():
@@ -130,7 +133,7 @@ def _test_determinism_save(filename, usetex):
     "filename, usetex",
     # unique filenames to allow for parallel testing
     [("determinism_notex.svg", False),
-     needs_usetex(("determinism_tex.svg", True))])
+     pytest.param("determinism_tex.svg", True, marks=needs_usetex)])
 def test_determinism(filename, usetex):
     import sys
     from subprocess import check_output, STDOUT, CalledProcessError
diff --git a/lib/matplotlib/tests/test_backends_interactive.py b/lib/matplotlib/tests/test_backends_interactive.py
index df7a5d08a10..8cd4585bffc 100644
--- a/lib/matplotlib/tests/test_backends_interactive.py
+++ b/lib/matplotlib/tests/test_backends_interactive.py
@@ -31,8 +31,10 @@ def _get_testable_interactive_backends():
             reason = "No $DISPLAY"
         elif any(importlib.util.find_spec(dep) is None for dep in deps):
             reason = "Missing dependency"
-        backends.append(pytest.mark.skip(reason=reason)(backend) if reason
-                        else backend)
+        if reason:
+            backend = pytest.param(
+                backend, marks=pytest.mark.skip(reason=reason))
+        backends.append(backend)
     return backends
 
 
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
index e6da25789f0..c8a23347f65 100644
--- a/lib/matplotlib/tests/test_image.py
+++ b/lib/matplotlib/tests/test_image.py
@@ -23,14 +23,6 @@
 import pytest
 
 
-try:
-    from PIL import Image
-    HAS_PIL = True
-except ImportError:
-    HAS_PIL = False
-needs_pillow = pytest.mark.xfail(not HAS_PIL, reason='Test requires Pillow')
-
-
 @image_comparison(baseline_images=['image_interps'], style='mpl20')
 def test_image_interps():
     'make the basic nearest, bilinear and bicubic interps'
@@ -113,8 +105,8 @@ def test_image_python_io():
     plt.imread(buffer)
 
 
-@needs_pillow
 def test_imread_pil_uint16():
+    pytest.importorskip("PIL")
     img = plt.imread(os.path.join(os.path.dirname(__file__),
                      'baseline_images', 'test_image', 'uint16.tif'))
     assert (img.dtype == np.uint16)
@@ -122,8 +114,8 @@ def test_imread_pil_uint16():
 
 
 @pytest.mark.skipif(sys.version_info < (3, 6), reason="requires Python 3.6+")
-@needs_pillow
 def test_imread_fspath():
+    pytest.importorskip("PIL")
     from pathlib import Path
     img = plt.imread(
         Path(__file__).parent / 'baseline_images/test_image/uint16.tif')
@@ -497,8 +489,8 @@ def test_nonuniformimage_setnorm():
     im.set_norm(plt.Normalize())
 
 
-@needs_pillow
 def test_jpeg_2d():
+    Image = pytest.importorskip('PIL.Image')
     # smoke test that mode-L pillow images work.
     imd = np.ones((10, 10), dtype='uint8')
     for i in range(10):
@@ -509,8 +501,9 @@ def test_jpeg_2d():
     ax.imshow(im)
 
 
-@needs_pillow
 def test_jpeg_alpha():
+    Image = pytest.importorskip('PIL.Image')
+
     plt.figure(figsize=(1, 1), dpi=300)
     # Create an image that is all black, with a gradient from 0-1 in
     # the alpha channel from left to right.
diff --git a/lib/matplotlib/tests/test_mathtext.py b/lib/matplotlib/tests/test_mathtext.py
index cdc1093e141..af6701a0f1d 100644
--- a/lib/matplotlib/tests/test_mathtext.py
+++ b/lib/matplotlib/tests/test_mathtext.py
@@ -271,7 +271,7 @@ def test_single_minus_sign():
 
     buff = io.BytesIO()
     plt.savefig(buff, format="rgba", dpi=1000)
-    array = np.fromstring(buff.getvalue(), dtype=np.uint8)
+    array = np.frombuffer(buff.getvalue(), dtype=np.uint8)
 
     # If this fails, it would be all white
     assert not np.all(array == 0xff)
diff --git a/lib/matplotlib/tests/test_simplification.py b/lib/matplotlib/tests/test_simplification.py
index fca140877bd..1b3ccb3f019 100644
--- a/lib/matplotlib/tests/test_simplification.py
+++ b/lib/matplotlib/tests/test_simplification.py
@@ -273,7 +273,7 @@ def test_start_with_moveto():
         # Python 2 case
         decodebytes = base64.decodestring
 
-    verts = np.fromstring(decodebytes(data), dtype='<i4')
+    verts = np.frombuffer(decodebytes(data), dtype='<i4')
     verts = verts.reshape((len(verts) // 2, 2))
     path = Path(verts)
     segs = path.iter_segments(transforms.IdentityTransform(),
diff --git a/lib/matplotlib/tests/test_text.py b/lib/matplotlib/tests/test_text.py
index 7bc878accc9..e438766b703 100644
--- a/lib/matplotlib/tests/test_text.py
+++ b/lib/matplotlib/tests/test_text.py
@@ -14,9 +14,11 @@
 from matplotlib.testing.decorators import image_comparison
 
 
-needs_usetex = pytest.mark.xfail(
-    not matplotlib.checkdep_usetex(True),
-    reason="This test needs a TeX installation")
+with warnings.catch_warnings():
+    warnings.simplefilter('ignore')
+    needs_usetex = pytest.mark.skipif(
+        not matplotlib.checkdep_usetex(True),
+        reason="This test needs a TeX installation")
 
 
 @image_comparison(baseline_images=['font_styles'])
diff --git a/lib/matplotlib/tests/test_usetex.py b/lib/matplotlib/tests/test_usetex.py
index 5d6a939e8a1..e3b1c1f6ce3 100644
--- a/lib/matplotlib/tests/test_usetex.py
+++ b/lib/matplotlib/tests/test_usetex.py
@@ -1,4 +1,5 @@
 from __future__ import absolute_import, division, print_function
+import warnings
 
 import pytest
 
@@ -7,8 +8,14 @@
 import matplotlib.pyplot as plt
 
 
-@pytest.mark.skipif(not matplotlib.checkdep_usetex(True),
-                    reason='Missing TeX or Ghostscript or dvipng')
+with warnings.catch_warnings():
+    warnings.simplefilter('ignore')
+    needs_usetex = pytest.mark.skipif(
+        not matplotlib.checkdep_usetex(True),
+        reason='Missing TeX of Ghostscript or dvipng')
+
+
+@needs_usetex
 @image_comparison(baseline_images=['test_usetex'],
                   extensions=['pdf', 'png'],
                   tol=0.3)
diff --git a/lib/matplotlib/tri/triinterpolate.py b/lib/matplotlib/tri/triinterpolate.py
index e0c2047489a..f3c6deb0c97 100644
--- a/lib/matplotlib/tri/triinterpolate.py
+++ b/lib/matplotlib/tri/triinterpolate.py
@@ -581,9 +581,9 @@ def _compute_tri_eccentricities(tris_pts):
               The so-called eccentricity parameters [1] needed for
               HCT triangular element.
         """
-        a = np.expand_dims(tris_pts[:, 2, :]-tris_pts[:, 1, :], axis=2)
-        b = np.expand_dims(tris_pts[:, 0, :]-tris_pts[:, 2, :], axis=2)
-        c = np.expand_dims(tris_pts[:, 1, :]-tris_pts[:, 0, :], axis=2)
+        a = np.expand_dims(tris_pts[:, 2, :] - tris_pts[:, 1, :], axis=2)
+        b = np.expand_dims(tris_pts[:, 0, :] - tris_pts[:, 2, :], axis=2)
+        c = np.expand_dims(tris_pts[:, 1, :] - tris_pts[:, 0, :], axis=2)
         # Do not use np.squeeze, this is dangerous if only one triangle
         # in the triangulation...
         dot_a = _prod_vectorized(_transpose_vectorized(a), a)[:, 0, 0]
@@ -1071,9 +1071,9 @@ def get_dof_vec(tri_z, tri_dz, J):
         J1 = _prod_vectorized(_ReducedHCT_Element.J0_to_J1, J)
         J2 = _prod_vectorized(_ReducedHCT_Element.J0_to_J2, J)
 
-        col0 = _prod_vectorized(J, np.expand_dims(tri_dz[:, 0, :], axis=3))
-        col1 = _prod_vectorized(J1, np.expand_dims(tri_dz[:, 1, :], axis=3))
-        col2 = _prod_vectorized(J2, np.expand_dims(tri_dz[:, 2, :], axis=3))
+        col0 = _prod_vectorized(J, np.expand_dims(tri_dz[:, 0, :], axis=2))
+        col1 = _prod_vectorized(J1, np.expand_dims(tri_dz[:, 1, :], axis=2))
+        col2 = _prod_vectorized(J2, np.expand_dims(tri_dz[:, 2, :], axis=2))
 
         dfdksi = _to_matrix_vectorized([
             [col0[:, 0, 0], col1[:, 0, 0], col2[:, 0, 0]],
diff --git a/lib/mpl_toolkits/tests/test_mplot3d.py b/lib/mpl_toolkits/tests/test_mplot3d.py
index 0a506db92ad..d6e57b9b4e6 100644
--- a/lib/mpl_toolkits/tests/test_mplot3d.py
+++ b/lib/mpl_toolkits/tests/test_mplot3d.py
@@ -125,9 +125,10 @@ def test_lines3d():
 
 
 # Reason for flakiness of SVG test is still unknown.
-@image_comparison(baseline_images=['mixedsubplot'], remove_text=True,
-                  extensions=['png', 'pdf',
-                              pytest.mark.xfail('svg', strict=False)])
+@image_comparison(
+    baseline_images=['mixedsubplot'], remove_text=True,
+    extensions=['png', 'pdf',
+                pytest.param('svg', marks=pytest.mark.xfail(strict=False))])
 def test_mixedsubplots():
     def f(t):
         s1 = np.cos(2*np.pi*t)