Initial commit

.venv/lib/python3.9/site-packages/matplotlib/tests/__init__.py

@@ -0,0 +1,10 @@
+from pathlib import Path
+
+
+# Check that the test directories exist.
+if not (Path(__file__).parent / 'baseline_images').exists():
+    raise IOError(
+        'The baseline image directory does not exist. '
+        'This is most likely because the test data is not installed. '
+        'You may need to install matplotlib from source to get the '
+        'test data.')

.venv/lib/python3.9/site-packages/matplotlib/tests/conftest.py

@@ -0,0 +1,4 @@
+from matplotlib.testing.conftest import (mpl_test_settings,
+                                         mpl_image_comparison_parameters,
+                                         pytest_configure, pytest_unconfigure,
+                                         pd)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_afm.py

@@ -0,0 +1,137 @@
+from io import BytesIO
+import pytest
+import logging
+
+from matplotlib import afm
+from matplotlib import font_manager as fm
+
+
+# See note in afm.py re: use of comma as decimal separator in the
+# UnderlineThickness field and re: use of non-ASCII characters in the Notice
+# field.
+AFM_TEST_DATA = b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+FullName My Font Bold
+FamilyName Test Fonts
+Weight Bold
+ItalicAngle 0.0
+IsFixedPitch false
+UnderlinePosition -100
+UnderlineThickness 56,789
+Version 001.000
+Notice Copyright \xa9 2017 No one.
+FontBBox 0 -321 1234 369
+StartCharMetrics 3
+C 0 ; WX 250 ; N space ; B 0 0 0 0 ;
+C 42 ; WX 1141 ; N foo ; B 40 60 800 360 ;
+C 99 ; WX 583 ; N bar ; B 40 -10 543 210 ;
+EndCharMetrics
+EndFontMetrics
+"""
+
+
+def test_nonascii_str():
+    # This tests that we also decode bytes as utf-8 properly.
+    # Else, font files with non ascii characters fail to load.
+    inp_str = "привет"
+    byte_str = inp_str.encode("utf8")
+
+    ret = afm._to_str(byte_str)
+    assert ret == inp_str
+
+
+def test_parse_header():
+    fh = BytesIO(AFM_TEST_DATA)
+    header = afm._parse_header(fh)
+    assert header == {
+        b'StartFontMetrics': 2.0,
+        b'FontName': 'MyFont-Bold',
+        b'EncodingScheme': 'FontSpecific',
+        b'FullName': 'My Font Bold',
+        b'FamilyName': 'Test Fonts',
+        b'Weight': 'Bold',
+        b'ItalicAngle': 0.0,
+        b'IsFixedPitch': False,
+        b'UnderlinePosition': -100,
+        b'UnderlineThickness': 56.789,
+        b'Version': '001.000',
+        b'Notice': b'Copyright \xa9 2017 No one.',
+        b'FontBBox': [0, -321, 1234, 369],
+        b'StartCharMetrics': 3,
+    }
+
+
+def test_parse_char_metrics():
+    fh = BytesIO(AFM_TEST_DATA)
+    afm._parse_header(fh)  # position
+    metrics = afm._parse_char_metrics(fh)
+    assert metrics == (
+        {0: (250.0, 'space', [0, 0, 0, 0]),
+         42: (1141.0, 'foo', [40, 60, 800, 360]),
+         99: (583.0, 'bar', [40, -10, 543, 210]),
+         },
+        {'space': (250.0, 'space', [0, 0, 0, 0]),
+         'foo': (1141.0, 'foo', [40, 60, 800, 360]),
+         'bar': (583.0, 'bar', [40, -10, 543, 210]),
+         })
+
+
+def test_get_familyname_guessed():
+    fh = BytesIO(AFM_TEST_DATA)
+    font = afm.AFM(fh)
+    del font._header[b'FamilyName']  # remove FamilyName, so we have to guess
+    assert font.get_familyname() == 'My Font'
+
+
+def test_font_manager_weight_normalization():
+    font = afm.AFM(BytesIO(
+        AFM_TEST_DATA.replace(b"Weight Bold\n", b"Weight Custom\n")))
+    assert fm.afmFontProperty("", font).weight == "normal"
+
+
+@pytest.mark.parametrize(
+    "afm_data",
+    [
+        b"""nope
+really nope""",
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+FontName MyFont-Bold
+EncodingScheme FontSpecific""",
+    ],
+)
+def test_bad_afm(afm_data):
+    fh = BytesIO(afm_data)
+    with pytest.raises(RuntimeError):
+        afm._parse_header(fh)
+
+
+@pytest.mark.parametrize(
+    "afm_data",
+    [
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+Aardvark bob
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+StartCharMetrics 3""",
+        b"""StartFontMetrics 2.0
+Comment Comments are ignored.
+Comment Creation Date:Mon Nov 13 12:34:11 GMT 2017
+ItalicAngle zero degrees
+FontName MyFont-Bold
+EncodingScheme FontSpecific
+StartCharMetrics 3""",
+    ],
+)
+def test_malformed_header(afm_data, caplog):
+    fh = BytesIO(afm_data)
+    with caplog.at_level(logging.ERROR):
+        afm._parse_header(fh)
+
+    assert len(caplog.records) == 1

.venv/lib/python3.9/site-packages/matplotlib/tests/test_agg.py

@@ -0,0 +1,246 @@
+import io
+
+import numpy as np
+from numpy.testing import assert_array_almost_equal
+from PIL import Image, TiffTags
+import pytest
+
+
+from matplotlib import (
+    collections, path, pyplot as plt, transforms as mtransforms, rcParams)
+from matplotlib.image import imread
+from matplotlib.figure import Figure
+from matplotlib.testing.decorators import image_comparison
+
+
+def test_repeated_save_with_alpha():
+    # We want an image which has a background color of bluish green, with an
+    # alpha of 0.25.
+
+    fig = Figure([1, 0.4])
+    fig.set_facecolor((0, 1, 0.4))
+    fig.patch.set_alpha(0.25)
+
+    # The target color is fig.patch.get_facecolor()
+
+    buf = io.BytesIO()
+
+    fig.savefig(buf,
+                facecolor=fig.get_facecolor(),
+                edgecolor='none')
+
+    # Save the figure again to check that the
+    # colors don't bleed from the previous renderer.
+    buf.seek(0)
+    fig.savefig(buf,
+                facecolor=fig.get_facecolor(),
+                edgecolor='none')
+
+    # Check the first pixel has the desired color & alpha
+    # (approx: 0, 1.0, 0.4, 0.25)
+    buf.seek(0)
+    assert_array_almost_equal(tuple(imread(buf)[0, 0]),
+                              (0.0, 1.0, 0.4, 0.250),
+                              decimal=3)
+
+
+def test_large_single_path_collection():
+    buff = io.BytesIO()
+
+    # Generates a too-large single path in a path collection that
+    # would cause a segfault if the draw_markers optimization is
+    # applied.
+    f, ax = plt.subplots()
+    collection = collections.PathCollection(
+        [path.Path([[-10, 5], [10, 5], [10, -5], [-10, -5], [-10, 5]])])
+    ax.add_artist(collection)
+    ax.set_xlim(10**-3, 1)
+    plt.savefig(buff)
+
+
+def test_marker_with_nan():
+    # This creates a marker with nans in it, which was segfaulting the
+    # Agg backend (see #3722)
+    fig, ax = plt.subplots(1)
+    steps = 1000
+    data = np.arange(steps)
+    ax.semilogx(data)
+    ax.fill_between(data, data*0.8, data*1.2)
+    buf = io.BytesIO()
+    fig.savefig(buf, format='png')
+
+
+def test_long_path():
+    buff = io.BytesIO()
+
+    fig, ax = plt.subplots()
+    np.random.seed(0)
+    points = np.random.rand(70000)
+    ax.plot(points)
+    fig.savefig(buff, format='png')
+
+
+@image_comparison(['agg_filter.png'], remove_text=True)
+def test_agg_filter():
+    def smooth1d(x, window_len):
+        # copied from http://www.scipy.org/Cookbook/SignalSmooth
+        s = np.r_[
+            2*x[0] - x[window_len:1:-1], x, 2*x[-1] - x[-1:-window_len:-1]]
+        w = np.hanning(window_len)
+        y = np.convolve(w/w.sum(), s, mode='same')
+        return y[window_len-1:-window_len+1]
+
+    def smooth2d(A, sigma=3):
+        window_len = max(int(sigma), 3) * 2 + 1
+        A = np.apply_along_axis(smooth1d, 0, A, window_len)
+        A = np.apply_along_axis(smooth1d, 1, A, window_len)
+        return A
+
+    class BaseFilter:
+
+        def get_pad(self, dpi):
+            return 0
+
+        def process_image(self, padded_src, dpi):
+            raise NotImplementedError("Should be overridden by subclasses")
+
+        def __call__(self, im, dpi):
+            pad = self.get_pad(dpi)
+            padded_src = np.pad(im, [(pad, pad), (pad, pad), (0, 0)],
+                                "constant")
+            tgt_image = self.process_image(padded_src, dpi)
+            return tgt_image, -pad, -pad
+
+    class OffsetFilter(BaseFilter):
+
+        def __init__(self, offsets=(0, 0)):
+            self.offsets = offsets
+
+        def get_pad(self, dpi):
+            return int(max(self.offsets) / 72 * dpi)
+
+        def process_image(self, padded_src, dpi):
+            ox, oy = self.offsets
+            a1 = np.roll(padded_src, int(ox / 72 * dpi), axis=1)
+            a2 = np.roll(a1, -int(oy / 72 * dpi), axis=0)
+            return a2
+
+    class GaussianFilter(BaseFilter):
+        """Simple Gaussian filter."""
+
+        def __init__(self, sigma, alpha=0.5, color=(0, 0, 0)):
+            self.sigma = sigma
+            self.alpha = alpha
+            self.color = color
+
+        def get_pad(self, dpi):
+            return int(self.sigma*3 / 72 * dpi)
+
+        def process_image(self, padded_src, dpi):
+            tgt_image = np.empty_like(padded_src)
+            tgt_image[:, :, :3] = self.color
+            tgt_image[:, :, 3] = smooth2d(padded_src[:, :, 3] * self.alpha,
+                                          self.sigma / 72 * dpi)
+            return tgt_image
+
+    class DropShadowFilter(BaseFilter):
+
+        def __init__(self, sigma, alpha=0.3, color=(0, 0, 0), offsets=(0, 0)):
+            self.gauss_filter = GaussianFilter(sigma, alpha, color)
+            self.offset_filter = OffsetFilter(offsets)
+
+        def get_pad(self, dpi):
+            return max(self.gauss_filter.get_pad(dpi),
+                       self.offset_filter.get_pad(dpi))
+
+        def process_image(self, padded_src, dpi):
+            t1 = self.gauss_filter.process_image(padded_src, dpi)
+            t2 = self.offset_filter.process_image(t1, dpi)
+            return t2
+
+    fig, ax = plt.subplots()
+
+    # draw lines
+    line1, = ax.plot([0.1, 0.5, 0.9], [0.1, 0.9, 0.5], "bo-",
+                     mec="b", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
+    line2, = ax.plot([0.1, 0.5, 0.9], [0.5, 0.2, 0.7], "ro-",
+                     mec="r", mfc="w", lw=5, mew=3, ms=10, label="Line 1")
+
+    gauss = DropShadowFilter(4)
+
+    for line in [line1, line2]:
+
+        # draw shadows with same lines with slight offset.
+        xx = line.get_xdata()
+        yy = line.get_ydata()
+        shadow, = ax.plot(xx, yy)
+        shadow.update_from(line)
+
+        # offset transform
+        ot = mtransforms.offset_copy(line.get_transform(), ax.figure,
+                                     x=4.0, y=-6.0, units='points')
+
+        shadow.set_transform(ot)
+
+        # adjust zorder of the shadow lines so that it is drawn below the
+        # original lines
+        shadow.set_zorder(line.get_zorder() - 0.5)
+        shadow.set_agg_filter(gauss)
+        shadow.set_rasterized(True)  # to support mixed-mode renderers
+
+    ax.set_xlim(0., 1.)
+    ax.set_ylim(0., 1.)
+
+    ax.xaxis.set_visible(False)
+    ax.yaxis.set_visible(False)
+
+
+def test_too_large_image():
+    fig = plt.figure(figsize=(300, 1000))
+    buff = io.BytesIO()
+    with pytest.raises(ValueError):
+        fig.savefig(buff)
+
+
+def test_chunksize():
+    x = range(200)
+
+    # Test without chunksize
+    fig, ax = plt.subplots()
+    ax.plot(x, np.sin(x))
+    fig.canvas.draw()
+
+    # Test with chunksize
+    fig, ax = plt.subplots()
+    rcParams['agg.path.chunksize'] = 105
+    ax.plot(x, np.sin(x))
+    fig.canvas.draw()
+
+
+@pytest.mark.backend('Agg')
+def test_jpeg_dpi():
+    # Check that dpi is set correctly in jpg files.
+    plt.plot([0, 1, 2], [0, 1, 0])
+    buf = io.BytesIO()
+    plt.savefig(buf, format="jpg", dpi=200)
+    im = Image.open(buf)
+    assert im.info['dpi'] == (200, 200)
+
+
+def test_pil_kwargs_png():
+    from PIL.PngImagePlugin import PngInfo
+    buf = io.BytesIO()
+    pnginfo = PngInfo()
+    pnginfo.add_text("Software", "test")
+    plt.figure().savefig(buf, format="png", pil_kwargs={"pnginfo": pnginfo})
+    im = Image.open(buf)
+    assert im.info["Software"] == "test"
+
+
+def test_pil_kwargs_tiff():
+    buf = io.BytesIO()
+    pil_kwargs = {"description": "test image"}
+    plt.figure().savefig(buf, format="tiff", pil_kwargs=pil_kwargs)
+    im = Image.open(buf)
+    tags = {TiffTags.TAGS_V2[k].name: v for k, v in im.tag_v2.items()}
+    assert tags["ImageDescription"] == "test image"

.venv/lib/python3.9/site-packages/matplotlib/tests/test_agg_filter.py

@@ -0,0 +1,33 @@
+import numpy as np
+
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+
+
+@image_comparison(baseline_images=['agg_filter_alpha'],
+                  extensions=['png', 'pdf'])
+def test_agg_filter_alpha():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['pcolormesh.snap'] = False
+
+    ax = plt.axes()
+    x, y = np.mgrid[0:7, 0:8]
+    data = x**2 - y**2
+    mesh = ax.pcolormesh(data, cmap='Reds', zorder=5)
+
+    def manual_alpha(im, dpi):
+        im[:, :, 3] *= 0.6
+        print('CALLED')
+        return im, 0, 0
+
+    # Note: Doing alpha like this is not the same as setting alpha on
+    # the mesh itself. Currently meshes are drawn as independent patches,
+    # and we see fine borders around the blocks of color. See the SO
+    # question for an example: https://stackoverflow.com/questions/20678817
+    mesh.set_agg_filter(manual_alpha)
+
+    # Currently we must enable rasterization for this to have an effect in
+    # the PDF backend.
+    mesh.set_rasterized(True)
+
+    ax.plot([0, 4, 7], [1, 3, 8])

.venv/lib/python3.9/site-packages/matplotlib/tests/test_animation.py

@@ -0,0 +1,361 @@
+import gc
+import os
+from pathlib import Path
+import subprocess
+import sys
+import weakref
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib import pyplot as plt
+from matplotlib import animation
+
+
+@pytest.fixture()
+def anim(request):
+    """Create a simple animation (with options)."""
+    fig, ax = plt.subplots()
+    line, = ax.plot([], [])
+
+    ax.set_xlim(0, 10)
+    ax.set_ylim(-1, 1)
+
+    def init():
+        line.set_data([], [])
+        return line,
+
+    def animate(i):
+        x = np.linspace(0, 10, 100)
+        y = np.sin(x + i)
+        line.set_data(x, y)
+        return line,
+
+    # "klass" can be passed to determine the class returned by the fixture
+    kwargs = dict(getattr(request, 'param', {}))  # make a copy
+    klass = kwargs.pop('klass', animation.FuncAnimation)
+    if 'frames' not in kwargs:
+        kwargs['frames'] = 5
+    return klass(fig=fig, func=animate, init_func=init, **kwargs)
+
+
+class NullMovieWriter(animation.AbstractMovieWriter):
+    """
+    A minimal MovieWriter.  It doesn't actually write anything.
+    It just saves the arguments that were given to the setup() and
+    grab_frame() methods as attributes, and counts how many times
+    grab_frame() is called.
+
+    This class doesn't have an __init__ method with the appropriate
+    signature, and it doesn't define an isAvailable() method, so
+    it cannot be added to the 'writers' registry.
+    """
+
+    def setup(self, fig, outfile, dpi, *args):
+        self.fig = fig
+        self.outfile = outfile
+        self.dpi = dpi
+        self.args = args
+        self._count = 0
+
+    def grab_frame(self, **savefig_kwargs):
+        self.savefig_kwargs = savefig_kwargs
+        self._count += 1
+
+    def finish(self):
+        pass
+
+
+def test_null_movie_writer(anim):
+    # Test running an animation with NullMovieWriter.
+    filename = "unused.null"
+    dpi = 50
+    savefig_kwargs = dict(foo=0)
+    writer = NullMovieWriter()
+
+    anim.save(filename, dpi=dpi, writer=writer,
+              savefig_kwargs=savefig_kwargs)
+
+    assert writer.fig == plt.figure(1)  # The figure used by anim fixture
+    assert writer.outfile == filename
+    assert writer.dpi == dpi
+    assert writer.args == ()
+    assert writer.savefig_kwargs == savefig_kwargs
+    assert writer._count == anim.save_count
+
+
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_animation_delete(anim):
+    anim = animation.FuncAnimation(**anim)
+    with pytest.warns(Warning, match='Animation was deleted'):
+        del anim
+        gc.collect()
+
+
+def test_movie_writer_dpi_default():
+    class DummyMovieWriter(animation.MovieWriter):
+        def _run(self):
+            pass
+
+    # Test setting up movie writer with figure.dpi default.
+    fig = plt.figure()
+
+    filename = "unused.null"
+    fps = 5
+    codec = "unused"
+    bitrate = 1
+    extra_args = ["unused"]
+
+    writer = DummyMovieWriter(fps, codec, bitrate, extra_args)
+    writer.setup(fig, filename)
+    assert writer.dpi == fig.dpi
+
+
+@animation.writers.register('null')
+class RegisteredNullMovieWriter(NullMovieWriter):
+
+    # To be able to add NullMovieWriter to the 'writers' registry,
+    # we must define an __init__ method with a specific signature,
+    # and we must define the class method isAvailable().
+    # (These methods are not actually required to use an instance
+    # of this class as the 'writer' argument of Animation.save().)
+
+    def __init__(self, fps=None, codec=None, bitrate=None,
+                 extra_args=None, metadata=None):
+        pass
+
+    @classmethod
+    def isAvailable(cls):
+        return True
+
+
+WRITER_OUTPUT = [
+    ('ffmpeg', 'movie.mp4'),
+    ('ffmpeg_file', 'movie.mp4'),
+    ('avconv', 'movie.mp4'),
+    ('avconv_file', 'movie.mp4'),
+    ('imagemagick', 'movie.gif'),
+    ('imagemagick_file', 'movie.gif'),
+    ('pillow', 'movie.gif'),
+    ('html', 'movie.html'),
+    ('null', 'movie.null')
+]
+
+
+def gen_writers():
+    for writer, output in WRITER_OUTPUT:
+        if not animation.writers.is_available(writer):
+            mark = pytest.mark.skip(
+                f"writer '{writer}' not available on this system")
+            yield pytest.param(writer, None, output, marks=[mark])
+            yield pytest.param(writer, None, Path(output), marks=[mark])
+            continue
+
+        writer_class = animation.writers[writer]
+        for frame_format in getattr(writer_class, 'supported_formats', [None]):
+            yield writer, frame_format, output
+            yield writer, frame_format, Path(output)
+
+
+# Smoke test for saving animations.  In the future, we should probably
+# design more sophisticated tests which compare resulting frames a-la
+# matplotlib.testing.image_comparison
+@pytest.mark.parametrize('writer, frame_format, output', gen_writers())
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_save_animation_smoketest(tmpdir, writer, frame_format, output, anim):
+    if frame_format is not None:
+        plt.rcParams["animation.frame_format"] = frame_format
+    anim = animation.FuncAnimation(**anim)
+    dpi = None
+    codec = None
+    if writer == 'ffmpeg':
+        # Issue #8253
+        anim._fig.set_size_inches((10.85, 9.21))
+        dpi = 100.
+        codec = 'h264'
+
+    # Use temporary directory for the file-based writers, which produce a file
+    # per frame with known names.
+    with tmpdir.as_cwd():
+        anim.save(output, fps=30, writer=writer, bitrate=500, dpi=dpi,
+                  codec=codec)
+    with pytest.warns(None):
+        del anim
+
+
+@pytest.mark.parametrize('writer', [
+    pytest.param(
+        'ffmpeg', marks=pytest.mark.skipif(
+            not animation.FFMpegWriter.isAvailable(),
+            reason='Requires FFMpeg')),
+    pytest.param(
+        'imagemagick', marks=pytest.mark.skipif(
+            not animation.ImageMagickWriter.isAvailable(),
+            reason='Requires ImageMagick')),
+])
+@pytest.mark.parametrize('html, want', [
+    ('none', None),
+    ('html5', '<video width'),
+    ('jshtml', '<script ')
+])
+@pytest.mark.parametrize('anim', [dict(klass=dict)], indirect=['anim'])
+def test_animation_repr_html(writer, html, want, anim):
+    if (writer == 'imagemagick' and html == 'html5'
+            # ImageMagick delegates to ffmpeg for this format.
+            and not animation.FFMpegWriter.isAvailable()):
+        pytest.skip('Requires FFMpeg')
+    # create here rather than in the fixture otherwise we get __del__ warnings
+    # about producing no output
+    anim = animation.FuncAnimation(**anim)
+    with plt.rc_context({'animation.writer': writer,
+                         'animation.html': html}):
+        html = anim._repr_html_()
+    if want is None:
+        assert html is None
+        with pytest.warns(UserWarning):
+            del anim  # Animtion was never run, so will warn on cleanup.
+    else:
+        assert want in html
+
+
+@pytest.mark.parametrize('anim', [dict(frames=iter(range(5)))],
+                         indirect=['anim'])
+def test_no_length_frames(anim):
+    anim.save('unused.null', writer=NullMovieWriter())
+
+
+def test_movie_writer_registry():
+    assert len(animation.writers._registered) > 0
+    mpl.rcParams['animation.ffmpeg_path'] = "not_available_ever_xxxx"
+    assert not animation.writers.is_available("ffmpeg")
+    # something guaranteed to be available in path and exits immediately
+    bin = "true" if sys.platform != 'win32' else "where"
+    mpl.rcParams['animation.ffmpeg_path'] = bin
+    assert animation.writers.is_available("ffmpeg")
+
+
+@pytest.mark.parametrize(
+    "method_name",
+    [pytest.param("to_html5_video", marks=pytest.mark.skipif(
+        not animation.writers.is_available(mpl.rcParams["animation.writer"]),
+        reason="animation writer not installed")),
+     "to_jshtml"])
+@pytest.mark.parametrize('anim', [dict(frames=1)], indirect=['anim'])
+def test_embed_limit(method_name, caplog, tmpdir, anim):
+    caplog.set_level("WARNING")
+    with tmpdir.as_cwd():
+        with mpl.rc_context({"animation.embed_limit": 1e-6}):  # ~1 byte.
+            getattr(anim, method_name)()
+    assert len(caplog.records) == 1
+    record, = caplog.records
+    assert (record.name == "matplotlib.animation"
+            and record.levelname == "WARNING")
+
+
+@pytest.mark.parametrize(
+    "method_name",
+    [pytest.param("to_html5_video", marks=pytest.mark.skipif(
+        not animation.writers.is_available(mpl.rcParams["animation.writer"]),
+        reason="animation writer not installed")),
+     "to_jshtml"])
+@pytest.mark.parametrize('anim', [dict(frames=1)], indirect=['anim'])
+def test_cleanup_temporaries(method_name, tmpdir, anim):
+    with tmpdir.as_cwd():
+        getattr(anim, method_name)()
+        assert list(Path(str(tmpdir)).iterdir()) == []
+
+
+@pytest.mark.skipif(os.name != "posix", reason="requires a POSIX OS")
+def test_failing_ffmpeg(tmpdir, monkeypatch, anim):
+    """
+    Test that we correctly raise a CalledProcessError when ffmpeg fails.
+
+    To do so, mock ffmpeg using a simple executable shell script that
+    succeeds when called with no arguments (so that it gets registered by
+    `isAvailable`), but fails otherwise, and add it to the $PATH.
+    """
+    with tmpdir.as_cwd():
+        monkeypatch.setenv("PATH", ".:" + os.environ["PATH"])
+        exe_path = Path(str(tmpdir), "ffmpeg")
+        exe_path.write_text("#!/bin/sh\n"
+                            "[[ $@ -eq 0 ]]\n")
+        os.chmod(str(exe_path), 0o755)
+        with pytest.raises(subprocess.CalledProcessError):
+            anim.save("test.mpeg")
+
+
+@pytest.mark.parametrize("cache_frame_data", [False, True])
+def test_funcanimation_cache_frame_data(cache_frame_data):
+    fig, ax = plt.subplots()
+    line, = ax.plot([], [])
+
+    class Frame(dict):
+        # this subclassing enables to use weakref.ref()
+        pass
+
+    def init():
+        line.set_data([], [])
+        return line,
+
+    def animate(frame):
+        line.set_data(frame['x'], frame['y'])
+        return line,
+
+    frames_generated = []
+
+    def frames_generator():
+        for _ in range(5):
+            x = np.linspace(0, 10, 100)
+            y = np.random.rand(100)
+
+            frame = Frame(x=x, y=y)
+
+            # collect weak references to frames
+            # to validate their references later
+            frames_generated.append(weakref.ref(frame))
+
+            yield frame
+
+    anim = animation.FuncAnimation(fig, animate, init_func=init,
+                                   frames=frames_generator,
+                                   cache_frame_data=cache_frame_data)
+
+    writer = NullMovieWriter()
+    anim.save('unused.null', writer=writer)
+    assert len(frames_generated) == 5
+    for f in frames_generated:
+        # If cache_frame_data is True, then the weakref should be alive;
+        # if cache_frame_data is False, then the weakref should be dead (None).
+        assert (f() is None) != cache_frame_data
+
+
+@pytest.mark.parametrize('return_value', [
+    # User forgot to return (returns None).
+    None,
+    # User returned a string.
+    'string',
+    # User returned an int.
+    1,
+    # User returns a sequence of other objects, e.g., string instead of Artist.
+    ('string', ),
+    # User forgot to return a sequence (handled in `animate` below.)
+    'artist',
+])
+def test_draw_frame(return_value):
+    # test _draw_frame method
+
+    fig, ax = plt.subplots()
+    line, = ax.plot([])
+
+    def animate(i):
+        # general update func
+        line.set_data([0, 1], [0, i])
+        if return_value == 'artist':
+            # *not* a sequence
+            return line
+        else:
+            return return_value
+
+    with pytest.raises(RuntimeError):
+        animation.FuncAnimation(fig, animate, blit=True)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_api.py

@@ -0,0 +1,69 @@
+import re
+
+import numpy as np
+import pytest
+
+from matplotlib import _api
+
+
+@pytest.mark.parametrize('target,test_shape',
+                         [((None, ), (1, 3)),
+                          ((None, 3), (1,)),
+                          ((None, 3), (1, 2)),
+                          ((1, 5), (1, 9)),
+                          ((None, 2, None), (1, 3, 1))
+                          ])
+def test_check_shape(target, test_shape):
+    error_pattern = (f"^'aardvark' must be {len(target)}D.*" +
+                     re.escape(f'has shape {test_shape}'))
+    data = np.zeros(test_shape)
+    with pytest.raises(ValueError, match=error_pattern):
+        _api.check_shape(target, aardvark=data)
+
+
+def test_classproperty_deprecation():
+    class A:
+        @_api.deprecated("0.0.0")
+        @_api.classproperty
+        def f(cls):
+            pass
+    with pytest.warns(_api.MatplotlibDeprecationWarning):
+        A.f
+    with pytest.warns(_api.MatplotlibDeprecationWarning):
+        a = A()
+        a.f
+
+
+def test_delete_parameter():
+    @_api.delete_parameter("3.0", "foo")
+    def func1(foo=None):
+        pass
+
+    @_api.delete_parameter("3.0", "foo")
+    def func2(**kwargs):
+        pass
+
+    for func in [func1, func2]:
+        func()  # No warning.
+        with pytest.warns(_api.MatplotlibDeprecationWarning):
+            func(foo="bar")
+
+    def pyplot_wrapper(foo=_api.deprecation._deprecated_parameter):
+        func1(foo)
+
+    pyplot_wrapper()  # No warning.
+    with pytest.warns(_api.MatplotlibDeprecationWarning):
+        func(foo="bar")
+
+
+def test_make_keyword_only():
+    @_api.make_keyword_only("3.0", "arg")
+    def func(pre, arg, post=None):
+        pass
+
+    func(1, arg=2)  # Check that no warning is emitted.
+
+    with pytest.warns(_api.MatplotlibDeprecationWarning):
+        func(1, 2)
+    with pytest.warns(_api.MatplotlibDeprecationWarning):
+        func(1, 2, 3)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_arrow_patches.py

@@ -0,0 +1,176 @@
+import pytest
+import platform
+import matplotlib.pyplot as plt
+from matplotlib.testing.decorators import image_comparison
+import matplotlib.patches as mpatches
+
+
+def draw_arrow(ax, t, r):
+    ax.annotate('', xy=(0.5, 0.5 + r), xytext=(0.5, 0.5), size=30,
+                arrowprops=dict(arrowstyle=t,
+                                fc="b", ec='k'))
+
+
+@image_comparison(['fancyarrow_test_image'])
+def test_fancyarrow():
+    # Added 0 to test division by zero error described in issue 3930
+    r = [0.4, 0.3, 0.2, 0.1, 0]
+    t = ["fancy", "simple", mpatches.ArrowStyle.Fancy()]
+
+    fig, axs = plt.subplots(len(t), len(r), squeeze=False,
+                            figsize=(8, 4.5), subplot_kw=dict(aspect=1))
+
+    for i_r, r1 in enumerate(r):
+        for i_t, t1 in enumerate(t):
+            ax = axs[i_t, i_r]
+            draw_arrow(ax, t1, r1)
+            ax.tick_params(labelleft=False, labelbottom=False)
+
+
+@image_comparison(['boxarrow_test_image.png'])
+def test_boxarrow():
+
+    styles = mpatches.BoxStyle.get_styles()
+
+    n = len(styles)
+    spacing = 1.2
+
+    figheight = (n * spacing + .5)
+    fig = plt.figure(figsize=(4 / 1.5, figheight / 1.5))
+
+    fontsize = 0.3 * 72
+
+    for i, stylename in enumerate(sorted(styles)):
+        fig.text(0.5, ((n - i) * spacing - 0.5)/figheight, stylename,
+                 ha="center",
+                 size=fontsize,
+                 transform=fig.transFigure,
+                 bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+
+
+def __prepare_fancyarrow_dpi_cor_test():
+    """
+    Convenience function that prepares and returns a FancyArrowPatch. It aims
+    at being used to test that the size of the arrow head does not depend on
+    the DPI value of the exported picture.
+
+    NB: this function *is not* a test in itself!
+    """
+    fig2 = plt.figure("fancyarrow_dpi_cor_test", figsize=(4, 3), dpi=50)
+    ax = fig2.add_subplot()
+    ax.set_xlim([0, 1])
+    ax.set_ylim([0, 1])
+    ax.add_patch(mpatches.FancyArrowPatch(posA=(0.3, 0.4), posB=(0.8, 0.6),
+                                          lw=3, arrowstyle='->',
+                                          mutation_scale=100))
+    return fig2
+
+
+@image_comparison(['fancyarrow_dpi_cor_100dpi.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.02,
+                  savefig_kwarg=dict(dpi=100))
+def test_fancyarrow_dpi_cor_100dpi():
+    """
+    Check the export of a FancyArrowPatch @ 100 DPI. FancyArrowPatch is
+    instantiated through a dedicated function because another similar test
+    checks a similar export but with a different DPI value.
+
+    Remark: test only a rasterized format.
+    """
+
+    __prepare_fancyarrow_dpi_cor_test()
+
+
+@image_comparison(['fancyarrow_dpi_cor_200dpi.png'], remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.02,
+                  savefig_kwarg=dict(dpi=200))
+def test_fancyarrow_dpi_cor_200dpi():
+    """
+    As test_fancyarrow_dpi_cor_100dpi, but exports @ 200 DPI. The relative size
+    of the arrow head should be the same.
+    """
+
+    __prepare_fancyarrow_dpi_cor_test()
+
+
+@image_comparison(['fancyarrow_dash.png'], remove_text=True, style='default')
+def test_fancyarrow_dash():
+    fig, ax = plt.subplots()
+    e = mpatches.FancyArrowPatch((0, 0), (0.5, 0.5),
+                                 arrowstyle='-|>',
+                                 connectionstyle='angle3,angleA=0,angleB=90',
+                                 mutation_scale=10.0,
+                                 linewidth=2,
+                                 linestyle='dashed',
+                                 color='k')
+    e2 = mpatches.FancyArrowPatch((0, 0), (0.5, 0.5),
+                                  arrowstyle='-|>',
+                                  connectionstyle='angle3',
+                                  mutation_scale=10.0,
+                                  linewidth=2,
+                                  linestyle='dotted',
+                                  color='k')
+    ax.add_patch(e)
+    ax.add_patch(e2)
+
+
+@image_comparison(['arrow_styles.png'], style='mpl20', remove_text=True,
+                  tol=0 if platform.machine() == 'x86_64' else 0.005)
+def test_arrow_styles():
+    styles = mpatches.ArrowStyle.get_styles()
+
+    n = len(styles)
+    fig, ax = plt.subplots(figsize=(8, 8))
+    ax.set_xlim(0, 1)
+    ax.set_ylim(-1, n)
+    fig.subplots_adjust(left=0, right=1, bottom=0, top=1)
+
+    for i, stylename in enumerate(sorted(styles)):
+        patch = mpatches.FancyArrowPatch((0.1, i), (0.45, i),
+                                         arrowstyle=stylename,
+                                         mutation_scale=25)
+        ax.add_patch(patch)
+
+    for i, stylename in enumerate([']-[', ']-', '-[', '|-|']):
+        style = stylename
+        if stylename[0] != '-':
+            style += ',angleA=ANGLE'
+        if stylename[-1] != '-':
+            style += ',angleB=ANGLE'
+
+        for j, angle in enumerate([-30, 60]):
+            arrowstyle = style.replace('ANGLE', str(angle))
+            patch = mpatches.FancyArrowPatch((0.55, 2*i + j), (0.9, 2*i + j),
+                                             arrowstyle=arrowstyle,
+                                             mutation_scale=25)
+            ax.add_patch(patch)
+
+
+@image_comparison(['connection_styles.png'], style='mpl20', remove_text=True)
+def test_connection_styles():
+    styles = mpatches.ConnectionStyle.get_styles()
+
+    n = len(styles)
+    fig, ax = plt.subplots(figsize=(6, 10))
+    ax.set_xlim(0, 1)
+    ax.set_ylim(-1, n)
+
+    for i, stylename in enumerate(sorted(styles)):
+        patch = mpatches.FancyArrowPatch((0.1, i), (0.8, i + 0.5),
+                                         arrowstyle="->",
+                                         connectionstyle=stylename,
+                                         mutation_scale=25)
+        ax.add_patch(patch)
+
+
+def test_invalid_intersection():
+    conn_style_1 = mpatches.ConnectionStyle.Angle3(angleA=20, angleB=200)
+    p1 = mpatches.FancyArrowPatch((.2, .2), (.5, .5),
+                                  connectionstyle=conn_style_1)
+    with pytest.raises(ValueError):
+        plt.gca().add_patch(p1)
+
+    conn_style_2 = mpatches.ConnectionStyle.Angle3(angleA=20, angleB=199.9)
+    p2 = mpatches.FancyArrowPatch((.2, .2), (.5, .5),
+                                  connectionstyle=conn_style_2)
+    plt.gca().add_patch(p2)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_artist.py

@@ -0,0 +1,342 @@
+import io
+from itertools import chain
+
+import numpy as np
+
+import pytest
+
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+import matplotlib.lines as mlines
+import matplotlib.path as mpath
+import matplotlib.transforms as mtransforms
+import matplotlib.collections as mcollections
+import matplotlib.artist as martist
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+
+
+def test_patch_transform_of_none():
+    # tests the behaviour of patches added to an Axes with various transform
+    # specifications
+
+    ax = plt.axes()
+    ax.set_xlim([1, 3])
+    ax.set_ylim([1, 3])
+
+    # Draw an ellipse over data coord (2, 2) by specifying device coords.
+    xy_data = (2, 2)
+    xy_pix = ax.transData.transform(xy_data)
+
+    # Not providing a transform of None puts the ellipse in data coordinates .
+    e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
+    ax.add_patch(e)
+    assert e._transform == ax.transData
+
+    # Providing a transform of None puts the ellipse in device coordinates.
+    e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
+                         transform=None, alpha=0.5)
+    assert e.is_transform_set()
+    ax.add_patch(e)
+    assert isinstance(e._transform, mtransforms.IdentityTransform)
+
+    # Providing an IdentityTransform puts the ellipse in device coordinates.
+    e = mpatches.Ellipse(xy_pix, width=100, height=100,
+                         transform=mtransforms.IdentityTransform(), alpha=0.5)
+    ax.add_patch(e)
+    assert isinstance(e._transform, mtransforms.IdentityTransform)
+
+    # Not providing a transform, and then subsequently "get_transform" should
+    # not mean that "is_transform_set".
+    e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
+                         alpha=0.5)
+    intermediate_transform = e.get_transform()
+    assert not e.is_transform_set()
+    ax.add_patch(e)
+    assert e.get_transform() != intermediate_transform
+    assert e.is_transform_set()
+    assert e._transform == ax.transData
+
+
+def test_collection_transform_of_none():
+    # tests the behaviour of collections added to an Axes with various
+    # transform specifications
+
+    ax = plt.axes()
+    ax.set_xlim([1, 3])
+    ax.set_ylim([1, 3])
+
+    # draw an ellipse over data coord (2, 2) by specifying device coords
+    xy_data = (2, 2)
+    xy_pix = ax.transData.transform(xy_data)
+
+    # not providing a transform of None puts the ellipse in data coordinates
+    e = mpatches.Ellipse(xy_data, width=1, height=1)
+    c = mcollections.PatchCollection([e], facecolor='yellow', alpha=0.5)
+    ax.add_collection(c)
+    # the collection should be in data coordinates
+    assert c.get_offset_transform() + c.get_transform() == ax.transData
+
+    # providing a transform of None puts the ellipse in device coordinates
+    e = mpatches.Ellipse(xy_pix, width=120, height=120)
+    c = mcollections.PatchCollection([e], facecolor='coral',
+                                     alpha=0.5)
+    c.set_transform(None)
+    ax.add_collection(c)
+    assert isinstance(c.get_transform(), mtransforms.IdentityTransform)
+
+    # providing an IdentityTransform puts the ellipse in device coordinates
+    e = mpatches.Ellipse(xy_pix, width=100, height=100)
+    c = mcollections.PatchCollection([e],
+                                     transform=mtransforms.IdentityTransform(),
+                                     alpha=0.5)
+    ax.add_collection(c)
+    assert isinstance(c._transOffset, mtransforms.IdentityTransform)
+
+
+@image_comparison(["clip_path_clipping"], remove_text=True)
+def test_clipping():
+    exterior = mpath.Path.unit_rectangle().deepcopy()
+    exterior.vertices *= 4
+    exterior.vertices -= 2
+    interior = mpath.Path.unit_circle().deepcopy()
+    interior.vertices = interior.vertices[::-1]
+    clip_path = mpath.Path.make_compound_path(exterior, interior)
+
+    star = mpath.Path.unit_regular_star(6).deepcopy()
+    star.vertices *= 2.6
+
+    fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)
+
+    col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
+                                      facecolor='red', alpha=0.7, hatch='*')
+    col.set_clip_path(clip_path, ax1.transData)
+    ax1.add_collection(col)
+
+    patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
+                               alpha=0.7, hatch='*')
+    patch.set_clip_path(clip_path, ax2.transData)
+    ax2.add_patch(patch)
+
+    ax1.set_xlim([-3, 3])
+    ax1.set_ylim([-3, 3])
+
+
+@check_figures_equal(extensions=['png'])
+def test_clipping_zoom(fig_test, fig_ref):
+    # This test places the Axes and sets its limits such that the clip path is
+    # outside the figure entirely. This should not break the clip path.
+    ax_test = fig_test.add_axes([0, 0, 1, 1])
+    l, = ax_test.plot([-3, 3], [-3, 3])
+    # Explicit Path instead of a Rectangle uses clip path processing, instead
+    # of a clip box optimization.
+    p = mpath.Path([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
+    p = mpatches.PathPatch(p, transform=ax_test.transData)
+    l.set_clip_path(p)
+
+    ax_ref = fig_ref.add_axes([0, 0, 1, 1])
+    ax_ref.plot([-3, 3], [-3, 3])
+
+    ax_ref.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
+    ax_test.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
+
+
+def test_cull_markers():
+    x = np.random.random(20000)
+    y = np.random.random(20000)
+
+    fig, ax = plt.subplots()
+    ax.plot(x, y, 'k.')
+    ax.set_xlim(2, 3)
+
+    pdf = io.BytesIO()
+    fig.savefig(pdf, format="pdf")
+    assert len(pdf.getvalue()) < 8000
+
+    svg = io.BytesIO()
+    fig.savefig(svg, format="svg")
+    assert len(svg.getvalue()) < 20000
+
+
+@image_comparison(['hatching'], remove_text=True, style='default')
+def test_hatching():
+    fig, ax = plt.subplots(1, 1)
+
+    # Default hatch color.
+    rect1 = mpatches.Rectangle((0, 0), 3, 4, hatch='/')
+    ax.add_patch(rect1)
+
+    rect2 = mcollections.RegularPolyCollection(4, sizes=[16000],
+                                               offsets=[(1.5, 6.5)],
+                                               transOffset=ax.transData,
+                                               hatch='/')
+    ax.add_collection(rect2)
+
+    # Ensure edge color is not applied to hatching.
+    rect3 = mpatches.Rectangle((4, 0), 3, 4, hatch='/', edgecolor='C1')
+    ax.add_patch(rect3)
+
+    rect4 = mcollections.RegularPolyCollection(4, sizes=[16000],
+                                               offsets=[(5.5, 6.5)],
+                                               transOffset=ax.transData,
+                                               hatch='/', edgecolor='C1')
+    ax.add_collection(rect4)
+
+    ax.set_xlim(0, 7)
+    ax.set_ylim(0, 9)
+
+
+def test_remove():
+    fig, ax = plt.subplots()
+    im = ax.imshow(np.arange(36).reshape(6, 6))
+    ln, = ax.plot(range(5))
+
+    assert fig.stale
+    assert ax.stale
+
+    fig.canvas.draw()
+    assert not fig.stale
+    assert not ax.stale
+    assert not ln.stale
+
+    assert im in ax._mouseover_set
+    assert ln not in ax._mouseover_set
+    assert im.axes is ax
+
+    im.remove()
+    ln.remove()
+
+    for art in [im, ln]:
+        assert art.axes is None
+        assert art.figure is None
+
+    assert im not in ax._mouseover_set
+    assert fig.stale
+    assert ax.stale
+
+
+@image_comparison(["default_edges.png"], remove_text=True, style='default')
+def test_default_edges():
+    # Remove this line when this test image is regenerated.
+    plt.rcParams['text.kerning_factor'] = 6
+
+    fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2)
+
+    ax1.plot(np.arange(10), np.arange(10), 'x',
+             np.arange(10) + 1, np.arange(10), 'o')
+    ax2.bar(np.arange(10), np.arange(10), align='edge')
+    ax3.text(0, 0, "BOX", size=24, bbox=dict(boxstyle='sawtooth'))
+    ax3.set_xlim((-1, 1))
+    ax3.set_ylim((-1, 1))
+    pp1 = mpatches.PathPatch(
+        mpath.Path([(0, 0), (1, 0), (1, 1), (0, 0)],
+                   [mpath.Path.MOVETO, mpath.Path.CURVE3,
+                    mpath.Path.CURVE3, mpath.Path.CLOSEPOLY]),
+        fc="none", transform=ax4.transData)
+    ax4.add_patch(pp1)
+
+
+def test_properties():
+    ln = mlines.Line2D([], [])
+    ln.properties()  # Check that no warning is emitted.
+
+
+def test_setp():
+    # Check empty list
+    plt.setp([])
+    plt.setp([[]])
+
+    # Check arbitrary iterables
+    fig, ax = plt.subplots()
+    lines1 = ax.plot(range(3))
+    lines2 = ax.plot(range(3))
+    martist.setp(chain(lines1, lines2), 'lw', 5)
+    plt.setp(ax.spines.values(), color='green')
+
+    # Check *file* argument
+    sio = io.StringIO()
+    plt.setp(lines1, 'zorder', file=sio)
+    assert sio.getvalue() == '  zorder: float\n'
+
+
+def test_None_zorder():
+    fig, ax = plt.subplots()
+    ln, = ax.plot(range(5), zorder=None)
+    assert ln.get_zorder() == mlines.Line2D.zorder
+    ln.set_zorder(123456)
+    assert ln.get_zorder() == 123456
+    ln.set_zorder(None)
+    assert ln.get_zorder() == mlines.Line2D.zorder
+
+
+@pytest.mark.parametrize('accept_clause, expected', [
+    ('', 'unknown'),
+    ("ACCEPTS: [ '-' | '--' | '-.' ]", "[ '-' | '--' | '-.' ]"),
+    ('ACCEPTS: Some description.', 'Some description.'),
+    ('.. ACCEPTS: Some description.', 'Some description.'),
+    ('arg : int', 'int'),
+    ('*arg : int', 'int'),
+    ('arg : int\nACCEPTS: Something else.', 'Something else. '),
+])
+def test_artist_inspector_get_valid_values(accept_clause, expected):
+    class TestArtist(martist.Artist):
+        def set_f(self, arg):
+            pass
+
+    TestArtist.set_f.__doc__ = """
+    Some text.
+
+    %s
+    """ % accept_clause
+    valid_values = martist.ArtistInspector(TestArtist).get_valid_values('f')
+    assert valid_values == expected
+
+
+def test_artist_inspector_get_aliases():
+    # test the correct format and type of get_aliases method
+    ai = martist.ArtistInspector(mlines.Line2D)
+    aliases = ai.get_aliases()
+    assert aliases["linewidth"] == {"lw"}
+
+
+def test_set_alpha():
+    art = martist.Artist()
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art.set_alpha('string')
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art.set_alpha([1, 2, 3])
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art.set_alpha(1.1)
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art.set_alpha(np.nan)
+
+
+def test_set_alpha_for_array():
+    art = martist.Artist()
+    with pytest.raises(TypeError, match='^alpha must be numeric or None'):
+        art._set_alpha_for_array('string')
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art._set_alpha_for_array(1.1)
+    with pytest.raises(ValueError, match="outside 0-1 range"):
+        art._set_alpha_for_array(np.nan)
+    with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
+        art._set_alpha_for_array([0.5, 1.1])
+    with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
+        art._set_alpha_for_array([0.5, np.nan])
+
+
+def test_callbacks():
+    def func(artist):
+        func.counter += 1
+
+    func.counter = 0
+
+    art = martist.Artist()
+    oid = art.add_callback(func)
+    assert func.counter == 0
+    art.pchanged()  # must call the callback
+    assert func.counter == 1
+    art.set_zorder(10)  # setting a property must also call the callback
+    assert func.counter == 2
+    art.remove_callback(oid)
+    art.pchanged()  # must not call the callback anymore
+    assert func.counter == 2

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_bases.py

@@ -0,0 +1,239 @@
+import re
+
+from matplotlib.testing import _check_for_pgf
+from matplotlib.backend_bases import (
+    FigureCanvasBase, LocationEvent, MouseButton, MouseEvent,
+    NavigationToolbar2, RendererBase)
+from matplotlib.backend_tools import (ToolZoom, ToolPan, RubberbandBase,
+                                      ToolViewsPositions, _views_positions)
+from matplotlib.figure import Figure
+import matplotlib.pyplot as plt
+import matplotlib.transforms as transforms
+import matplotlib.path as path
+
+import numpy as np
+import pytest
+
+needs_xelatex = pytest.mark.skipif(not _check_for_pgf('xelatex'),
+                                   reason='xelatex + pgf is required')
+
+
+def test_uses_per_path():
+    id = transforms.Affine2D()
+    paths = [path.Path.unit_regular_polygon(i) for i in range(3, 7)]
+    tforms_matrices = [id.rotate(i).get_matrix().copy() for i in range(1, 5)]
+    offsets = np.arange(20).reshape((10, 2))
+    facecolors = ['red', 'green']
+    edgecolors = ['red', 'green']
+
+    def check(master_transform, paths, all_transforms,
+              offsets, facecolors, edgecolors):
+        rb = RendererBase()
+        raw_paths = list(rb._iter_collection_raw_paths(
+            master_transform, paths, all_transforms))
+        gc = rb.new_gc()
+        ids = [path_id for xo, yo, path_id, gc0, rgbFace in
+               rb._iter_collection(
+                   gc, master_transform, all_transforms,
+                   range(len(raw_paths)), offsets,
+                   transforms.AffineDeltaTransform(master_transform),
+                   facecolors, edgecolors, [], [], [False],
+                   [], 'screen')]
+        uses = rb._iter_collection_uses_per_path(
+            paths, all_transforms, offsets, facecolors, edgecolors)
+        if raw_paths:
+            seen = np.bincount(ids, minlength=len(raw_paths))
+            assert set(seen).issubset([uses - 1, uses])
+
+    check(id, paths, tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, paths[0:1], tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, [], tforms_matrices, offsets, facecolors, edgecolors)
+    check(id, paths, tforms_matrices[0:1], offsets, facecolors, edgecolors)
+    check(id, paths, [], offsets, facecolors, edgecolors)
+    for n in range(0, offsets.shape[0]):
+        check(id, paths, tforms_matrices, offsets[0:n, :],
+              facecolors, edgecolors)
+    check(id, paths, tforms_matrices, offsets, [], edgecolors)
+    check(id, paths, tforms_matrices, offsets, facecolors, [])
+    check(id, paths, tforms_matrices, offsets, [], [])
+    check(id, paths, tforms_matrices, offsets, facecolors[0:1], edgecolors)
+
+
+def test_canvas_ctor():
+    assert isinstance(FigureCanvasBase().figure, Figure)
+
+
+def test_get_default_filename():
+    assert plt.figure().canvas.get_default_filename() == 'image.png'
+
+
+def test_canvas_change():
+    fig = plt.figure()
+    # Replaces fig.canvas
+    canvas = FigureCanvasBase(fig)
+    # Should still work.
+    plt.close(fig)
+    assert not plt.fignum_exists(fig.number)
+
+
+@pytest.mark.backend('pdf')
+def test_non_gui_warning(monkeypatch):
+    plt.subplots()
+
+    monkeypatch.setenv("DISPLAY", ":999")
+
+    with pytest.warns(UserWarning) as rec:
+        plt.show()
+        assert len(rec) == 1
+        assert ('Matplotlib is currently using pdf, which is a non-GUI backend'
+                in str(rec[0].message))
+
+    with pytest.warns(UserWarning) as rec:
+        plt.gcf().show()
+        assert len(rec) == 1
+        assert ('Matplotlib is currently using pdf, which is a non-GUI backend'
+                in str(rec[0].message))
+
+
+@pytest.mark.parametrize(
+    "x, y", [(42, 24), (None, 42), (None, None), (200, 100.01), (205.75, 2.0)])
+def test_location_event_position(x, y):
+    # LocationEvent should cast its x and y arguments to int unless it is None.
+    fig, ax = plt.subplots()
+    canvas = FigureCanvasBase(fig)
+    event = LocationEvent("test_event", canvas, x, y)
+    if x is None:
+        assert event.x is None
+    else:
+        assert event.x == int(x)
+        assert isinstance(event.x, int)
+    if y is None:
+        assert event.y is None
+    else:
+        assert event.y == int(y)
+        assert isinstance(event.y, int)
+    if x is not None and y is not None:
+        assert re.match(
+            "x={} +y={}".format(ax.format_xdata(x), ax.format_ydata(y)),
+            ax.format_coord(x, y))
+        ax.fmt_xdata = ax.fmt_ydata = lambda x: "foo"
+        assert re.match("x=foo +y=foo", ax.format_coord(x, y))
+
+
+def test_pick():
+    fig = plt.figure()
+    fig.text(.5, .5, "hello", ha="center", va="center", picker=True)
+    fig.canvas.draw()
+    picks = []
+    fig.canvas.mpl_connect("pick_event", lambda event: picks.append(event))
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *fig.transFigure.transform((.5, .5)),
+        MouseButton.LEFT)
+    fig.canvas.callbacks.process(start_event.name, start_event)
+    assert len(picks) == 1
+
+
+def test_interactive_zoom():
+    fig, ax = plt.subplots()
+    ax.set(xscale="logit")
+    assert ax.get_navigate_mode() is None
+
+    tb = NavigationToolbar2(fig.canvas)
+    tb.zoom()
+    assert ax.get_navigate_mode() == 'ZOOM'
+
+    xlim0 = ax.get_xlim()
+    ylim0 = ax.get_ylim()
+
+    # Zoom from x=1e-6, y=0.1 to x=1-1e-5, 0.8 (data coordinates, "d").
+    d0 = (1e-6, 0.1)
+    d1 = (1-1e-5, 0.8)
+    # Convert to screen coordinates ("s").  Events are defined only with pixel
+    # precision, so round the pixel values, and below, check against the
+    # corresponding xdata/ydata, which are close but not equal to d0/d1.
+    s0 = ax.transData.transform(d0).astype(int)
+    s1 = ax.transData.transform(d1).astype(int)
+
+    # Zoom in.
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s0, MouseButton.LEFT)
+    fig.canvas.callbacks.process(start_event.name, start_event)
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s1, MouseButton.LEFT)
+    fig.canvas.callbacks.process(stop_event.name, stop_event)
+    assert ax.get_xlim() == (start_event.xdata, stop_event.xdata)
+    assert ax.get_ylim() == (start_event.ydata, stop_event.ydata)
+
+    # Zoom out.
+    start_event = MouseEvent(
+        "button_press_event", fig.canvas, *s1, MouseButton.RIGHT)
+    fig.canvas.callbacks.process(start_event.name, start_event)
+    stop_event = MouseEvent(
+        "button_release_event", fig.canvas, *s0, MouseButton.RIGHT)
+    fig.canvas.callbacks.process(stop_event.name, stop_event)
+    # Absolute tolerance much less than original xmin (1e-7).
+    assert ax.get_xlim() == pytest.approx(xlim0, rel=0, abs=1e-10)
+    assert ax.get_ylim() == pytest.approx(ylim0, rel=0, abs=1e-10)
+
+    tb.zoom()
+    assert ax.get_navigate_mode() is None
+
+    assert not ax.get_autoscalex_on() and not ax.get_autoscaley_on()
+
+
+def test_toolbar_zoompan():
+    expected_warning_regex = (
+        r"Treat the new Tool classes introduced in "
+        r"v[0-9]*.[0-9]* as experimental for now; "
+        "the API and rcParam may change in future versions.")
+    with pytest.warns(UserWarning, match=expected_warning_regex):
+        plt.rcParams['toolbar'] = 'toolmanager'
+    ax = plt.gca()
+    assert ax.get_navigate_mode() is None
+    ax.figure.canvas.manager.toolmanager.add_tool(name="zoom",
+                                                  tool=ToolZoom)
+    ax.figure.canvas.manager.toolmanager.add_tool(name="pan",
+                                                  tool=ToolPan)
+    ax.figure.canvas.manager.toolmanager.add_tool(name=_views_positions,
+                                                  tool=ToolViewsPositions)
+    ax.figure.canvas.manager.toolmanager.add_tool(name='rubberband',
+                                                  tool=RubberbandBase)
+    ax.figure.canvas.manager.toolmanager.trigger_tool('zoom')
+    assert ax.get_navigate_mode() == "ZOOM"
+    ax.figure.canvas.manager.toolmanager.trigger_tool('pan')
+    assert ax.get_navigate_mode() == "PAN"
+
+
+@pytest.mark.parametrize(
+    "backend", ['svg', 'ps', 'pdf', pytest.param('pgf', marks=needs_xelatex)]
+)
+def test_draw(backend):
+    from matplotlib.figure import Figure
+    from matplotlib.backends.backend_agg import FigureCanvas
+    test_backend = pytest.importorskip(
+        f'matplotlib.backends.backend_{backend}'
+    )
+    TestCanvas = test_backend.FigureCanvas
+    fig_test = Figure(constrained_layout=True)
+    TestCanvas(fig_test)
+    axes_test = fig_test.subplots(2, 2)
+
+    # defaults to FigureCanvasBase
+    fig_agg = Figure(constrained_layout=True)
+    # put a backends.backend_agg.FigureCanvas on it
+    FigureCanvas(fig_agg)
+    axes_agg = fig_agg.subplots(2, 2)
+
+    init_pos = [ax.get_position() for ax in axes_test.ravel()]
+
+    fig_test.canvas.draw()
+    fig_agg.canvas.draw()
+
+    layed_out_pos_test = [ax.get_position() for ax in axes_test.ravel()]
+    layed_out_pos_agg = [ax.get_position() for ax in axes_agg.ravel()]
+
+    for init, placed in zip(init_pos, layed_out_pos_test):
+        assert not np.allclose(init, placed, atol=0.005)
+
+    for ref, test in zip(layed_out_pos_agg, layed_out_pos_test):
+        np.testing.assert_allclose(ref, test, atol=0.005)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_cairo.py

@@ -0,0 +1,48 @@
+import numpy as np
+
+import pytest
+
+from matplotlib.testing.decorators import check_figures_equal
+from matplotlib import (
+    collections as mcollections, patches as mpatches, path as mpath)
+
+
+@pytest.mark.backend('cairo')
+@check_figures_equal(extensions=["png"])
+def test_patch_alpha_coloring(fig_test, fig_ref):
+    """
+    Test checks that the patch and collection are rendered with the specified
+    alpha values in their facecolor and edgecolor.
+    """
+    star = mpath.Path.unit_regular_star(6)
+    circle = mpath.Path.unit_circle()
+    # concatenate the star with an internal cutout of the circle
+    verts = np.concatenate([circle.vertices, star.vertices[::-1]])
+    codes = np.concatenate([circle.codes, star.codes])
+    cut_star1 = mpath.Path(verts, codes)
+    cut_star2 = mpath.Path(verts + 1, codes)
+
+    # Reference: two separate patches
+    ax = fig_ref.subplots()
+    ax.set_xlim([-1, 2])
+    ax.set_ylim([-1, 2])
+    patch = mpatches.PathPatch(cut_star1,
+                               linewidth=5, linestyle='dashdot',
+                               facecolor=(1, 0, 0, 0.5),
+                               edgecolor=(0, 0, 1, 0.75))
+    ax.add_patch(patch)
+    patch = mpatches.PathPatch(cut_star2,
+                               linewidth=5, linestyle='dashdot',
+                               facecolor=(1, 0, 0, 0.5),
+                               edgecolor=(0, 0, 1, 0.75))
+    ax.add_patch(patch)
+
+    # Test: path collection
+    ax = fig_test.subplots()
+    ax.set_xlim([-1, 2])
+    ax.set_ylim([-1, 2])
+    col = mcollections.PathCollection([cut_star1, cut_star2],
+                                      linewidth=5, linestyles='dashdot',
+                                      facecolor=(1, 0, 0, 0.5),
+                                      edgecolor=(0, 0, 1, 0.75))
+    ax.add_collection(col)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_gtk3.py

@@ -0,0 +1,51 @@
+from matplotlib import pyplot as plt
+
+import pytest
+
+
+pytest.importorskip("matplotlib.backends.backend_gtk3agg")
+
+
+@pytest.mark.backend("gtk3agg")
+def test_correct_key():
+    pytest.xfail("test_widget_send_event is not triggering key_press_event")
+
+    from gi.repository import Gdk, Gtk
+    fig = plt.figure()
+    buf = []
+
+    def send(event):
+        for key, mod in [
+                (Gdk.KEY_a, Gdk.ModifierType.SHIFT_MASK),
+                (Gdk.KEY_a, 0),
+                (Gdk.KEY_a, Gdk.ModifierType.CONTROL_MASK),
+                (Gdk.KEY_agrave, 0),
+                (Gdk.KEY_Control_L, Gdk.ModifierType.MOD1_MASK),
+                (Gdk.KEY_Alt_L, Gdk.ModifierType.CONTROL_MASK),
+                (Gdk.KEY_agrave,
+                 Gdk.ModifierType.CONTROL_MASK
+                 | Gdk.ModifierType.MOD1_MASK
+                 | Gdk.ModifierType.MOD4_MASK),
+                (0xfd16, 0),   # KEY_3270_Play.
+                (Gdk.KEY_BackSpace, 0),
+                (Gdk.KEY_BackSpace, Gdk.ModifierType.CONTROL_MASK),
+        ]:
+            # This is not actually really the right API: it depends on the
+            # actual keymap (e.g. on Azerty, shift+agrave -> 0).
+            Gtk.test_widget_send_key(fig.canvas, key, mod)
+
+    def receive(event):
+        buf.append(event.key)
+        if buf == [
+                "A", "a", "ctrl+a",
+                "\N{LATIN SMALL LETTER A WITH GRAVE}",
+                "alt+control", "ctrl+alt",
+                "ctrl+alt+super+\N{LATIN SMALL LETTER A WITH GRAVE}",
+                # (No entry for KEY_3270_Play.)
+                "backspace", "ctrl+backspace",
+        ]:
+            plt.close(fig)
+
+    fig.canvas.mpl_connect("draw_event", send)
+    fig.canvas.mpl_connect("key_press_event", receive)
+    plt.show()

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_nbagg.py

@@ -0,0 +1,28 @@
+import os
+from pathlib import Path
+import subprocess
+from tempfile import TemporaryDirectory
+
+import pytest
+
+nbformat = pytest.importorskip('nbformat')
+
+# From https://blog.thedataincubator.com/2016/06/testing-jupyter-notebooks/
+
+
+def test_ipynb():
+    nb_path = Path(__file__).parent / 'test_nbagg_01.ipynb'
+
+    with TemporaryDirectory() as tmpdir:
+        out_path = Path(tmpdir, "out.ipynb")
+        subprocess.check_call(
+            ["jupyter", "nbconvert", "--to", "notebook",
+             "--execute", "--ExecutePreprocessor.timeout=500",
+             "--output", str(out_path), str(nb_path)],
+            env={**os.environ, "IPYTHONDIR": tmpdir})
+        with out_path.open() as out:
+            nb = nbformat.read(out, nbformat.current_nbformat)
+
+    errors = [output for cell in nb.cells for output in cell.get("outputs", [])
+              if output.output_type == "error"]
+    assert not errors

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_pdf.py

@@ -0,0 +1,341 @@
+import datetime
+import decimal
+import io
+import os
+from pathlib import Path
+from tempfile import NamedTemporaryFile
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+from matplotlib import dviread, pyplot as plt, checkdep_usetex, rcParams
+from matplotlib.backends.backend_pdf import PdfPages
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+
+
+needs_usetex = pytest.mark.skipif(
+    not checkdep_usetex(True),
+    reason="This test needs a TeX installation")
+
+
+@image_comparison(['pdf_use14corefonts.pdf'])
+def test_use14corefonts():
+    rcParams['pdf.use14corefonts'] = True
+    rcParams['font.family'] = 'sans-serif'
+    rcParams['font.size'] = 8
+    rcParams['font.sans-serif'] = ['Helvetica']
+    rcParams['pdf.compression'] = 0
+
+    text = '''A three-line text positioned just above a blue line
+and containing some French characters and the euro symbol:
+"Merci pépé pour les 10 €"'''
+
+    fig, ax = plt.subplots()
+    ax.set_title('Test PDF backend with option use14corefonts=True')
+    ax.text(0.5, 0.5, text, horizontalalignment='center',
+            verticalalignment='bottom',
+            fontsize=14)
+    ax.axhline(0.5, linewidth=0.5)
+
+
+def test_type42():
+    rcParams['pdf.fonttype'] = 42
+
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    fig.savefig(io.BytesIO())
+
+
+def test_multipage_pagecount():
+    with PdfPages(io.BytesIO()) as pdf:
+        assert pdf.get_pagecount() == 0
+        fig, ax = plt.subplots()
+        ax.plot([1, 2, 3])
+        fig.savefig(pdf, format="pdf")
+        assert pdf.get_pagecount() == 1
+        pdf.savefig()
+        assert pdf.get_pagecount() == 2
+
+
+def test_multipage_properfinalize():
+    pdfio = io.BytesIO()
+    with PdfPages(pdfio) as pdf:
+        for i in range(10):
+            fig, ax = plt.subplots()
+            ax.set_title('This is a long title')
+            fig.savefig(pdf, format="pdf")
+    s = pdfio.getvalue()
+    assert s.count(b'startxref') == 1
+    assert len(s) < 40000
+
+
+def test_multipage_keep_empty():
+    # test empty pdf files
+    # test that an empty pdf is left behind with keep_empty=True (default)
+    with NamedTemporaryFile(delete=False) as tmp:
+        with PdfPages(tmp) as pdf:
+            filename = pdf._file.fh.name
+        assert os.path.exists(filename)
+    os.remove(filename)
+    # test if an empty pdf is deleting itself afterwards with keep_empty=False
+    with PdfPages(filename, keep_empty=False) as pdf:
+        pass
+    assert not os.path.exists(filename)
+    # test pdf files with content, they should never be deleted
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    # test that a non-empty pdf is left behind with keep_empty=True (default)
+    with NamedTemporaryFile(delete=False) as tmp:
+        with PdfPages(tmp) as pdf:
+            filename = pdf._file.fh.name
+            pdf.savefig()
+        assert os.path.exists(filename)
+    os.remove(filename)
+    # test that a non-empty pdf is left behind with keep_empty=False
+    with NamedTemporaryFile(delete=False) as tmp:
+        with PdfPages(tmp, keep_empty=False) as pdf:
+            filename = pdf._file.fh.name
+            pdf.savefig()
+        assert os.path.exists(filename)
+    os.remove(filename)
+
+
+def test_composite_image():
+    # Test that figures can be saved with and without combining multiple images
+    # (on a single set of axes) into a single composite image.
+    X, Y = np.meshgrid(np.arange(-5, 5, 1), np.arange(-5, 5, 1))
+    Z = np.sin(Y ** 2)
+    fig, ax = plt.subplots()
+    ax.set_xlim(0, 3)
+    ax.imshow(Z, extent=[0, 1, 0, 1])
+    ax.imshow(Z[::-1], extent=[2, 3, 0, 1])
+    plt.rcParams['image.composite_image'] = True
+    with PdfPages(io.BytesIO()) as pdf:
+        fig.savefig(pdf, format="pdf")
+        assert len(pdf._file._images) == 1
+    plt.rcParams['image.composite_image'] = False
+    with PdfPages(io.BytesIO()) as pdf:
+        fig.savefig(pdf, format="pdf")
+        assert len(pdf._file._images) == 2
+
+
+def test_savefig_metadata(monkeypatch):
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    buf = io.BytesIO()
+    fig.savefig(buf, metadata=md, format='pdf')
+
+    with pikepdf.Pdf.open(buf) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF',
+        '/Trapped': '/True',
+    }
+
+
+def test_invalid_metadata():
+    fig, ax = plt.subplots()
+
+    with pytest.warns(UserWarning,
+                      match="Unknown infodict keyword: 'foobar'."):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'foobar': 'invalid'})
+
+    with pytest.warns(UserWarning,
+                      match='not an instance of datetime.datetime.'):
+        fig.savefig(io.BytesIO(), format='pdf',
+                    metadata={'ModDate': '1968-08-01'})
+
+    with pytest.warns(UserWarning,
+                      match='not one of {"True", "False", "Unknown"}'):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'Trapped': 'foo'})
+
+    with pytest.warns(UserWarning, match='not an instance of str.'):
+        fig.savefig(io.BytesIO(), format='pdf', metadata={'Title': 1234})
+
+
+def test_multipage_metadata(monkeypatch):
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    buf = io.BytesIO()
+    with PdfPages(buf, metadata=md) as pdf:
+        pdf.savefig(fig)
+        pdf.savefig(fig)
+
+    with pikepdf.Pdf.open(buf) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Producer': f'Matplotlib pdf backend v{mpl.__version__}',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF',
+        '/Trapped': '/True',
+    }
+
+
+def test_text_urls():
+    pikepdf = pytest.importorskip('pikepdf')
+
+    test_url = 'https://test_text_urls.matplotlib.org/'
+
+    fig = plt.figure(figsize=(2, 1))
+    fig.text(0.1, 0.1, 'test plain 123', url=f'{test_url}plain')
+    fig.text(0.1, 0.4, 'test mathtext $123$', url=f'{test_url}mathtext')
+
+    with io.BytesIO() as fd:
+        fig.savefig(fd, format='pdf')
+
+        with pikepdf.Pdf.open(fd) as pdf:
+            annots = pdf.pages[0].Annots
+
+            # Iteration over Annots must occur within the context manager,
+            # otherwise it may fail depending on the pdf structure.
+            for y, fragment in [('0.1', 'plain'), ('0.4', 'mathtext')]:
+                annot = next(
+                    (a for a in annots if a.A.URI == f'{test_url}{fragment}'),
+                    None)
+                assert annot is not None
+                # Positions in points (72 per inch.)
+                assert annot.Rect[1] == decimal.Decimal(y) * 72
+
+
+@needs_usetex
+def test_text_urls_tex():
+    pikepdf = pytest.importorskip('pikepdf')
+
+    test_url = 'https://test_text_urls.matplotlib.org/'
+
+    fig = plt.figure(figsize=(2, 1))
+    fig.text(0.1, 0.7, 'test tex $123$', usetex=True, url=f'{test_url}tex')
+
+    with io.BytesIO() as fd:
+        fig.savefig(fd, format='pdf')
+
+        with pikepdf.Pdf.open(fd) as pdf:
+            annots = pdf.pages[0].Annots
+
+            # Iteration over Annots must occur within the context manager,
+            # otherwise it may fail depending on the pdf structure.
+            annot = next(
+                (a for a in annots if a.A.URI == f'{test_url}tex'),
+                None)
+            assert annot is not None
+            # Positions in points (72 per inch.)
+            assert annot.Rect[1] == decimal.Decimal('0.7') * 72
+
+
+def test_pdfpages_fspath():
+    with PdfPages(Path(os.devnull)) as pdf:
+        pdf.savefig(plt.figure())
+
+
+@image_comparison(['hatching_legend.pdf'])
+def test_hatching_legend():
+    """Test for correct hatching on patches in legend"""
+    fig = plt.figure(figsize=(1, 2))
+
+    a = plt.Rectangle([0, 0], 0, 0, facecolor="green", hatch="XXXX")
+    b = plt.Rectangle([0, 0], 0, 0, facecolor="blue", hatch="XXXX")
+
+    fig.legend([a, b, a, b], ["", "", "", ""])
+
+
+@image_comparison(['grayscale_alpha.pdf'])
+def test_grayscale_alpha():
+    """Masking images with NaN did not work for grayscale images"""
+    x, y = np.ogrid[-2:2:.1, -2:2:.1]
+    dd = np.exp(-(x**2 + y**2))
+    dd[dd < .1] = np.nan
+    fig, ax = plt.subplots()
+    ax.imshow(dd, interpolation='none', cmap='gray_r')
+    ax.set_xticks([])
+    ax.set_yticks([])
+
+
+# This tests tends to hit a TeX cache lock on AppVeyor.
+@pytest.mark.flaky(reruns=3)
+@needs_usetex
+def test_missing_psfont(monkeypatch):
+    """An error is raised if a TeX font lacks a Type-1 equivalent"""
+    def psfont(*args, **kwargs):
+        return dviread.PsFont(texname='texfont', psname='Some Font',
+                              effects=None, encoding=None, filename=None)
+
+    monkeypatch.setattr(dviread.PsfontsMap, '__getitem__', psfont)
+    rcParams['text.usetex'] = True
+    fig, ax = plt.subplots()
+    ax.text(0.5, 0.5, 'hello')
+    with NamedTemporaryFile() as tmpfile, pytest.raises(ValueError):
+        fig.savefig(tmpfile, format='pdf')
+
+
+@pytest.mark.style('default')
+@check_figures_equal(extensions=["pdf", "eps"])
+def test_pdf_eps_savefig_when_color_is_none(fig_test, fig_ref):
+    ax_test = fig_test.add_subplot()
+    ax_test.set_axis_off()
+    ax_test.plot(np.sin(np.linspace(-5, 5, 100)), "v", c="none")
+    ax_ref = fig_ref.add_subplot()
+    ax_ref.set_axis_off()
+
+
+@needs_usetex
+def test_failing_latex():
+    """Test failing latex subprocess call"""
+    plt.xlabel("$22_2_2$", usetex=True)  # This fails with "Double subscript"
+    with pytest.raises(RuntimeError):
+        plt.savefig(io.BytesIO(), format="pdf")
+
+
+def test_empty_rasterized():
+    # Check that empty figures that are rasterised save to pdf files fine
+    fig, ax = plt.subplots()
+    ax.plot([], [], rasterized=True)
+    fig.savefig(io.BytesIO(), format="pdf")
+
+
+@image_comparison(['kerning.pdf'])
+def test_kerning():
+    fig = plt.figure()
+    s = "AVAVAVAVAVAVAVAV€AAVV"
+    fig.text(0, .25, s, size=5)
+    fig.text(0, .75, s, size=20)

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_pgf.py

@@ -0,0 +1,322 @@
+import datetime
+from io import BytesIO
+import os
+import shutil
+
+import numpy as np
+import pytest
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+from matplotlib.testing import _has_tex_package, _check_for_pgf
+from matplotlib.testing.compare import compare_images, ImageComparisonFailure
+from matplotlib.backends.backend_pgf import PdfPages, common_texification
+from matplotlib.testing.decorators import (_image_directories,
+                                           check_figures_equal,
+                                           image_comparison)
+
+baseline_dir, result_dir = _image_directories(lambda: 'dummy func')
+
+needs_xelatex = pytest.mark.skipif(not _check_for_pgf('xelatex'),
+                                   reason='xelatex + pgf is required')
+needs_pdflatex = pytest.mark.skipif(not _check_for_pgf('pdflatex'),
+                                    reason='pdflatex + pgf is required')
+needs_lualatex = pytest.mark.skipif(not _check_for_pgf('lualatex'),
+                                    reason='lualatex + pgf is required')
+needs_ghostscript = pytest.mark.skipif(
+    "eps" not in mpl.testing.compare.converter,
+    reason="This test needs a ghostscript installation")
+
+
+def compare_figure(fname, savefig_kwargs={}, tol=0):
+    actual = os.path.join(result_dir, fname)
+    plt.savefig(actual, **savefig_kwargs)
+
+    expected = os.path.join(result_dir, "expected_%s" % fname)
+    shutil.copyfile(os.path.join(baseline_dir, fname), expected)
+    err = compare_images(expected, actual, tol=tol)
+    if err:
+        raise ImageComparisonFailure(err)
+
+
+def create_figure():
+    plt.figure()
+    x = np.linspace(0, 1, 15)
+
+    # line plot
+    plt.plot(x, x ** 2, "b-")
+
+    # marker
+    plt.plot(x, 1 - x**2, "g>")
+
+    # filled paths and patterns
+    plt.fill_between([0., .4], [.4, 0.], hatch='//', facecolor="lightgray",
+                     edgecolor="red")
+    plt.fill([3, 3, .8, .8, 3], [2, -2, -2, 0, 2], "b")
+
+    # text and typesetting
+    plt.plot([0.9], [0.5], "ro", markersize=3)
+    plt.text(0.9, 0.5, 'unicode (ü, °, µ) and math ($\\mu_i = x_i^2$)',
+             ha='right', fontsize=20)
+    plt.ylabel('sans-serif, blue, $\\frac{\\sqrt{x}}{y^2}$..',
+               family='sans-serif', color='blue')
+
+    plt.xlim(0, 1)
+    plt.ylim(0, 1)
+
+
+@pytest.mark.parametrize('plain_text, escaped_text', [
+    (r'quad_sum: $\sum x_i^2$', r'quad\_sum: \(\displaystyle \sum x_i^2\)'),
+    (r'no \$splits \$ here', r'no \$splits \$ here'),
+    ('with_underscores', r'with\_underscores'),
+    ('% not a comment', r'\% not a comment'),
+    ('^not', r'\^not'),
+])
+def test_common_texification(plain_text, escaped_text):
+    assert common_texification(plain_text) == escaped_text
+
+
+# test compiling a figure to pdf with xelatex
+@needs_xelatex
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_xelatex.pdf'], style='default')
+def test_xelatex():
+    rc_xelatex = {'font.family': 'serif',
+                  'pgf.rcfonts': False}
+    mpl.rcParams.update(rc_xelatex)
+    create_figure()
+
+
+# test compiling a figure to pdf with pdflatex
+@needs_pdflatex
+@pytest.mark.skipif(not _has_tex_package('ucs'), reason='needs ucs.sty')
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_pdflatex.pdf'], style='default')
+def test_pdflatex():
+    if os.environ.get('APPVEYOR'):
+        pytest.xfail("pdflatex test does not work on appveyor due to missing "
+                     "LaTeX fonts")
+
+    rc_pdflatex = {'font.family': 'serif',
+                   'pgf.rcfonts': False,
+                   'pgf.texsystem': 'pdflatex',
+                   'pgf.preamble': ('\\usepackage[utf8x]{inputenc}'
+                                    '\\usepackage[T1]{fontenc}')}
+    mpl.rcParams.update(rc_pdflatex)
+    create_figure()
+
+
+# test updating the rc parameters for each figure
+@needs_xelatex
+@needs_pdflatex
+@pytest.mark.style('default')
+@pytest.mark.backend('pgf')
+def test_rcupdate():
+    rc_sets = [{'font.family': 'sans-serif',
+                'font.size': 30,
+                'figure.subplot.left': .2,
+                'lines.markersize': 10,
+                'pgf.rcfonts': False,
+                'pgf.texsystem': 'xelatex'},
+               {'font.family': 'monospace',
+                'font.size': 10,
+                'figure.subplot.left': .1,
+                'lines.markersize': 20,
+                'pgf.rcfonts': False,
+                'pgf.texsystem': 'pdflatex',
+                'pgf.preamble': ('\\usepackage[utf8x]{inputenc}'
+                                 '\\usepackage[T1]{fontenc}'
+                                 '\\usepackage{sfmath}')}]
+    tol = [6, 0]
+    for i, rc_set in enumerate(rc_sets):
+        with mpl.rc_context(rc_set):
+            for substring, pkg in [('sfmath', 'sfmath'), ('utf8x', 'ucs')]:
+                if (substring in mpl.rcParams['pgf.preamble']
+                        and not _has_tex_package(pkg)):
+                    pytest.skip(f'needs {pkg}.sty')
+            create_figure()
+            compare_figure('pgf_rcupdate%d.pdf' % (i + 1), tol=tol[i])
+
+
+# test backend-side clipping, since large numbers are not supported by TeX
+@needs_xelatex
+@pytest.mark.style('default')
+@pytest.mark.backend('pgf')
+def test_pathclip():
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
+    plt.plot([0., 1e100], [0., 1e100])
+    plt.xlim(0, 1)
+    plt.ylim(0, 1)
+    plt.savefig(BytesIO(), format="pdf")  # No image comparison.
+
+
+# test mixed mode rendering
+@needs_xelatex
+@pytest.mark.backend('pgf')
+@image_comparison(['pgf_mixedmode.pdf'], style='default')
+def test_mixedmode():
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
+    Y, X = np.ogrid[-1:1:40j, -1:1:40j]
+    plt.pcolor(X**2 + Y**2).set_rasterized(True)
+
+
+# test bbox_inches clipping
+@needs_xelatex
+@pytest.mark.style('default')
+@pytest.mark.backend('pgf')
+def test_bbox_inches():
+    mpl.rcParams.update({'font.family': 'serif', 'pgf.rcfonts': False})
+    fig, (ax1, ax2) = plt.subplots(1, 2)
+    ax1.plot(range(5))
+    ax2.plot(range(5))
+    plt.tight_layout()
+    bbox = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
+    compare_figure('pgf_bbox_inches.pdf', savefig_kwargs={'bbox_inches': bbox},
+                   tol=0)
+
+
+@pytest.mark.style('default')
+@pytest.mark.backend('pgf')
+@pytest.mark.parametrize('system', [
+    pytest.param('lualatex', marks=[needs_lualatex]),
+    pytest.param('pdflatex', marks=[needs_pdflatex]),
+    pytest.param('xelatex', marks=[needs_xelatex]),
+])
+def test_pdf_pages(system):
+    rc_pdflatex = {
+        'font.family': 'serif',
+        'pgf.rcfonts': False,
+        'pgf.texsystem': system,
+    }
+    mpl.rcParams.update(rc_pdflatex)
+
+    fig1, ax1 = plt.subplots()
+    ax1.plot(range(5))
+    fig1.tight_layout()
+
+    fig2, ax2 = plt.subplots(figsize=(3, 2))
+    ax2.plot(range(5))
+    fig2.tight_layout()
+
+    path = os.path.join(result_dir, f'pdfpages_{system}.pdf')
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF with pgf',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'Unknown'
+    }
+
+    with PdfPages(path, metadata=md) as pdf:
+        pdf.savefig(fig1)
+        pdf.savefig(fig2)
+        pdf.savefig(fig1)
+
+        assert pdf.get_pagecount() == 3
+
+
+@pytest.mark.style('default')
+@pytest.mark.backend('pgf')
+@pytest.mark.parametrize('system', [
+    pytest.param('lualatex', marks=[needs_lualatex]),
+    pytest.param('pdflatex', marks=[needs_pdflatex]),
+    pytest.param('xelatex', marks=[needs_xelatex]),
+])
+def test_pdf_pages_metadata_check(monkeypatch, system):
+    # Basically the same as test_pdf_pages, but we keep it separate to leave
+    # pikepdf as an optional dependency.
+    pikepdf = pytest.importorskip('pikepdf')
+    monkeypatch.setenv('SOURCE_DATE_EPOCH', '0')
+
+    mpl.rcParams.update({'pgf.texsystem': system})
+
+    fig, ax = plt.subplots()
+    ax.plot(range(5))
+
+    md = {
+        'Author': 'me',
+        'Title': 'Multipage PDF with pgf',
+        'Subject': 'Test page',
+        'Keywords': 'test,pdf,multipage',
+        'ModDate': datetime.datetime(
+            1968, 8, 1, tzinfo=datetime.timezone(datetime.timedelta(0))),
+        'Trapped': 'True'
+    }
+    path = os.path.join(result_dir, f'pdfpages_meta_check_{system}.pdf')
+    with PdfPages(path, metadata=md) as pdf:
+        pdf.savefig(fig)
+
+    with pikepdf.Pdf.open(path) as pdf:
+        info = {k: str(v) for k, v in pdf.docinfo.items()}
+
+    # Not set by us, so don't bother checking.
+    if '/PTEX.FullBanner' in info:
+        del info['/PTEX.FullBanner']
+    if '/PTEX.Fullbanner' in info:
+        del info['/PTEX.Fullbanner']
+
+    # Some LaTeX engines ignore this setting, and state themselves as producer.
+    producer = info.pop('/Producer')
+    assert producer == f'Matplotlib pgf backend v{mpl.__version__}' or (
+            system == 'lualatex' and 'LuaTeX' in producer)
+
+    assert info == {
+        '/Author': 'me',
+        '/CreationDate': 'D:19700101000000Z',
+        '/Creator': f'Matplotlib v{mpl.__version__}, https://matplotlib.org',
+        '/Keywords': 'test,pdf,multipage',
+        '/ModDate': 'D:19680801000000Z',
+        '/Subject': 'Test page',
+        '/Title': 'Multipage PDF with pgf',
+        '/Trapped': '/True',
+    }
+
+
+@needs_xelatex
+def test_tex_restart_after_error():
+    fig = plt.figure()
+    fig.suptitle(r"\oops")
+    with pytest.raises(ValueError):
+        fig.savefig(BytesIO(), format="pgf")
+
+    fig = plt.figure()  # start from scratch
+    fig.suptitle(r"this is ok")
+    fig.savefig(BytesIO(), format="pgf")
+
+
+@needs_xelatex
+def test_bbox_inches_tight():
+    fig, ax = plt.subplots()
+    ax.imshow([[0, 1], [2, 3]])
+    fig.savefig(BytesIO(), format="pdf", backend="pgf", bbox_inches="tight")
+
+
+@needs_xelatex
+@needs_ghostscript
+def test_png():
+    # Just a smoketest.
+    fig, ax = plt.subplots()
+    fig.savefig(BytesIO(), format="png", backend="pgf")
+
+
+@needs_xelatex
+def test_unknown_font(caplog):
+    with caplog.at_level("WARNING"):
+        mpl.rcParams["font.family"] = "this-font-does-not-exist"
+        plt.figtext(.5, .5, "hello, world")
+        plt.savefig(BytesIO(), format="pgf")
+    assert "Ignoring unknown font: this-font-does-not-exist" in [
+        r.getMessage() for r in caplog.records]
+
+
+@check_figures_equal(extensions=["pdf"])
+@pytest.mark.parametrize("texsystem", ("pdflatex", "xelatex", "lualatex"))
+@pytest.mark.backend("pgf")
+def test_minus_signs_with_tex(fig_test, fig_ref, texsystem):
+    if not _check_for_pgf(texsystem):
+        pytest.skip(texsystem + ' + pgf is required')
+    mpl.rcParams["pgf.texsystem"] = texsystem
+    fig_test.text(.5, .5, "$-1$")
+    fig_ref.text(.5, .5, "$\N{MINUS SIGN}1$")

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_ps.py

@@ -0,0 +1,195 @@
+import io
+from pathlib import Path
+import re
+import tempfile
+
+import pytest
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+from matplotlib import cbook, patheffects
+from matplotlib.testing.decorators import check_figures_equal, image_comparison
+from matplotlib.cbook import MatplotlibDeprecationWarning
+
+
+needs_ghostscript = pytest.mark.skipif(
+    "eps" not in mpl.testing.compare.converter,
+    reason="This test needs a ghostscript installation")
+needs_usetex = pytest.mark.skipif(
+    not mpl.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('orientation', ['portrait', 'landscape'])
+@pytest.mark.parametrize('format, use_log, rcParams', [
+    ('ps', False, {}),
+    ('ps', False, {'ps.usedistiller': 'ghostscript'}),
+    ('ps', False, {'ps.usedistiller': 'xpdf'}),
+    ('ps', False, {'text.usetex': True}),
+    ('eps', False, {}),
+    ('eps', True, {'ps.useafm': True}),
+    ('eps', False, {'text.usetex': True}),
+], ids=[
+    'ps',
+    'ps with distiller=ghostscript',
+    'ps with distiller=xpdf',
+    'ps with usetex',
+    'eps',
+    'eps afm',
+    'eps with usetex'
+])
+def test_savefig_to_stringio(format, use_log, rcParams, orientation):
+    mpl.rcParams.update(rcParams)
+
+    fig, ax = plt.subplots()
+
+    with io.StringIO() as s_buf, io.BytesIO() as b_buf:
+
+        if use_log:
+            ax.set_yscale('log')
+
+        ax.plot([1, 2], [1, 2])
+        title = "Déjà vu"
+        if not mpl.rcParams["text.usetex"]:
+            title += " \N{MINUS SIGN}\N{EURO SIGN}"
+        ax.set_title(title)
+        allowable_exceptions = []
+        if rcParams.get("ps.usedistiller"):
+            allowable_exceptions.append(mpl.ExecutableNotFoundError)
+        if rcParams.get("text.usetex"):
+            allowable_exceptions.append(RuntimeError)
+        if rcParams.get("ps.useafm"):
+            allowable_exceptions.append(MatplotlibDeprecationWarning)
+        try:
+            fig.savefig(s_buf, format=format, orientation=orientation)
+            fig.savefig(b_buf, format=format, orientation=orientation)
+        except tuple(allowable_exceptions) as exc:
+            pytest.skip(str(exc))
+
+        s_val = s_buf.getvalue().encode('ascii')
+        b_val = b_buf.getvalue()
+
+        # Strip out CreationDate: ghostscript and cairo don't obey
+        # SOURCE_DATE_EPOCH, and that environment variable is already tested in
+        # test_determinism.
+        s_val = re.sub(b"(?<=\n%%CreationDate: ).*", b"", s_val)
+        b_val = re.sub(b"(?<=\n%%CreationDate: ).*", b"", b_val)
+
+        assert s_val == b_val.replace(b'\r\n', b'\n')
+
+
+def test_patheffects():
+    mpl.rcParams['path.effects'] = [
+        patheffects.withStroke(linewidth=4, foreground='w')]
+    fig, ax = plt.subplots()
+    ax.plot([1, 2, 3])
+    with io.BytesIO() as ps:
+        fig.savefig(ps, format='ps')
+
+
+@needs_usetex
+@needs_ghostscript
+def test_tilde_in_tempfilename(tmpdir):
+    # Tilde ~ in the tempdir path (e.g. TMPDIR, TMP or TEMP on windows
+    # when the username is very long and windows uses a short name) breaks
+    # latex before https://github.com/matplotlib/matplotlib/pull/5928
+    base_tempdir = Path(tmpdir, "short-1")
+    base_tempdir.mkdir()
+    # Change the path for new tempdirs, which is used internally by the ps
+    # backend to write a file.
+    with cbook._setattr_cm(tempfile, tempdir=str(base_tempdir)):
+        # usetex results in the latex call, which does not like the ~
+        mpl.rcParams['text.usetex'] = True
+        plt.plot([1, 2, 3, 4])
+        plt.xlabel(r'\textbf{time} (s)')
+        # use the PS backend to write the file...
+        plt.savefig(base_tempdir / 'tex_demo.eps', format="ps")
+
+
+@image_comparison(["empty.eps"])
+def test_transparency():
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    ax.plot([0, 1], color="r", alpha=0)
+    ax.text(.5, .5, "foo", color="r", alpha=0)
+
+
+def test_bbox():
+    fig, ax = plt.subplots()
+    with io.BytesIO() as buf:
+        fig.savefig(buf, format='eps')
+        buf = buf.getvalue()
+
+    bb = re.search(b'^%%BoundingBox: (.+) (.+) (.+) (.+)$', buf, re.MULTILINE)
+    assert bb
+    hibb = re.search(b'^%%HiResBoundingBox: (.+) (.+) (.+) (.+)$', buf,
+                     re.MULTILINE)
+    assert hibb
+
+    for i in range(1, 5):
+        # BoundingBox must use integers, and be ceil/floor of the hi res.
+        assert b'.' not in bb.group(i)
+        assert int(bb.group(i)) == pytest.approx(float(hibb.group(i)), 1)
+
+
+@needs_usetex
+def test_failing_latex():
+    """Test failing latex subprocess call"""
+    mpl.rcParams['text.usetex'] = True
+    # This fails with "Double subscript"
+    plt.xlabel("$22_2_2$")
+    with pytest.raises(RuntimeError):
+        plt.savefig(io.BytesIO(), format="ps")
+
+
+@needs_usetex
+def test_partial_usetex(caplog):
+    caplog.set_level("WARNING")
+    plt.figtext(.5, .5, "foo", usetex=True)
+    plt.savefig(io.BytesIO(), format="ps")
+    assert caplog.records and all("as if usetex=False" in record.getMessage()
+                                  for record in caplog.records)
+
+
+@image_comparison(["useafm.eps"])
+def test_useafm():
+    mpl.rcParams["ps.useafm"] = True
+    fig, ax = plt.subplots()
+    ax.set_axis_off()
+    ax.axhline(.5)
+    ax.text(.5, .5, "qk")
+
+
+@image_comparison(["type3.eps"])
+def test_type3_font():
+    plt.figtext(.5, .5, "I/J")
+
+
+@check_figures_equal(extensions=["eps"])
+def test_text_clip(fig_test, fig_ref):
+    ax = fig_test.add_subplot()
+    # Fully clipped-out text should not appear.
+    ax.text(0, 0, "hello", transform=fig_test.transFigure, clip_on=True)
+    fig_ref.add_subplot()
+
+
+@needs_ghostscript
+def test_d_glyph(tmp_path):
+    # Ensure that we don't have a procedure defined as /d, which would be
+    # overwritten by the glyph definition for "d".
+    fig = plt.figure()
+    fig.text(.5, .5, "def")
+    out = tmp_path / "test.eps"
+    fig.savefig(out)
+    mpl.testing.compare.convert(out, cache=False)  # Should not raise.
+
+
+@image_comparison(["type42_without_prep.eps"], style='mpl20')
+def test_type42_font_without_prep():
+    # Test whether Type 42 fonts without prep table are properly embedded
+    mpl.rcParams["ps.fonttype"] = 42
+    mpl.rcParams["mathtext.fontset"] = "stix"
+
+    plt.figtext(0.5, 0.5, "Mass $m$")

.venv/lib/python3.9/site-packages/matplotlib/tests/test_backend_qt.py

@@ -0,0 +1,297 @@
+import copy
+import signal
+from unittest import mock
+
+import matplotlib
+from matplotlib import pyplot as plt
+from matplotlib._pylab_helpers import Gcf
+
+import pytest
+
+
+try:
+    from matplotlib.backends.qt_compat import QtGui
+except ImportError:
+    pytestmark = pytest.mark.skip('No usable Qt5 bindings')
+
+
+@pytest.fixture
+def qt_core(request):
+    backend, = request.node.get_closest_marker('backend').args
+    qt_compat = pytest.importorskip('matplotlib.backends.qt_compat')
+    QtCore = qt_compat.QtCore
+
+    if backend == 'Qt4Agg':
+        try:
+            py_qt_ver = int(QtCore.PYQT_VERSION_STR.split('.')[0])
+        except AttributeError:
+            py_qt_ver = QtCore.__version_info__[0]
+        if py_qt_ver != 4:
+            pytest.skip('Qt4 is not available')
+
+    return QtCore
+
+
+@pytest.mark.parametrize('backend', [
+    # Note: the value is irrelevant; the important part is the marker.
+    pytest.param(
+        'Qt4Agg',
+        marks=pytest.mark.backend('Qt4Agg', skip_on_importerror=True)),
+    pytest.param(
+        'Qt5Agg',
+        marks=pytest.mark.backend('Qt5Agg', skip_on_importerror=True)),
+])
+def test_fig_close(backend):
+    # save the state of Gcf.figs
+    init_figs = copy.copy(Gcf.figs)
+
+    # make a figure using pyplot interface
+    fig = plt.figure()
+
+    # simulate user clicking the close button by reaching in
+    # and calling close on the underlying Qt object
+    fig.canvas.manager.window.close()
+
+    # assert that we have removed the reference to the FigureManager
+    # that got added by plt.figure()
+    assert init_figs == Gcf.figs
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_fig_signals(qt_core):
+    # Create a figure
+    plt.figure()
+
+    # Access signals
+    event_loop_signal = None
+
+    # Callback to fire during event loop: save SIGINT handler, then exit
+    def fire_signal_and_quit():
+        # Save event loop signal
+        nonlocal event_loop_signal
+        event_loop_signal = signal.getsignal(signal.SIGINT)
+
+        # Request event loop exit
+        qt_core.QCoreApplication.exit()
+
+    # Timer to exit event loop
+    qt_core.QTimer.singleShot(0, fire_signal_and_quit)
+
+    # Save original SIGINT handler
+    original_signal = signal.getsignal(signal.SIGINT)
+
+    # Use our own SIGINT handler to be 100% sure this is working
+    def CustomHandler(signum, frame):
+        pass
+
+    signal.signal(signal.SIGINT, CustomHandler)
+
+    # mainloop() sets SIGINT, starts Qt event loop (which triggers timer and
+    # exits) and then mainloop() resets SIGINT
+    matplotlib.backends.backend_qt5._BackendQT5.mainloop()
+
+    # Assert: signal handler during loop execution is signal.SIG_DFL
+    assert event_loop_signal == signal.SIG_DFL
+
+    # Assert: current signal handler is the same as the one we set before
+    assert CustomHandler == signal.getsignal(signal.SIGINT)
+
+    # Reset SIGINT handler to what it was before the test
+    signal.signal(signal.SIGINT, original_signal)
+
+
+@pytest.mark.parametrize(
+    'qt_key, qt_mods, answer',
+    [
+        ('Key_A', ['ShiftModifier'], 'A'),
+        ('Key_A', [], 'a'),
+        ('Key_A', ['ControlModifier'], 'ctrl+a'),
+        ('Key_Aacute', ['ShiftModifier'],
+         '\N{LATIN CAPITAL LETTER A WITH ACUTE}'),
+        ('Key_Aacute', [],
+         '\N{LATIN SMALL LETTER A WITH ACUTE}'),
+        ('Key_Control', ['AltModifier'], 'alt+control'),
+        ('Key_Alt', ['ControlModifier'], 'ctrl+alt'),
+        ('Key_Aacute', ['ControlModifier', 'AltModifier', 'MetaModifier'],
+         'ctrl+alt+super+\N{LATIN SMALL LETTER A WITH ACUTE}'),
+        ('Key_Play', [], None),
+        ('Key_Backspace', [], 'backspace'),
+        ('Key_Backspace', ['ControlModifier'], 'ctrl+backspace'),
+    ],
+    ids=[
+        'shift',
+        'lower',
+        'control',
+        'unicode_upper',
+        'unicode_lower',
+        'alt_control',
+        'control_alt',
+        'modifier_order',
+        'non_unicode_key',
+        'backspace',
+        'backspace_mod',
+    ]
+)
+@pytest.mark.parametrize('backend', [
+    # Note: the value is irrelevant; the important part is the marker.
+    pytest.param(
+        'Qt4Agg',
+        marks=pytest.mark.backend('Qt4Agg', skip_on_importerror=True)),
+    pytest.param(
+        'Qt5Agg',
+        marks=pytest.mark.backend('Qt5Agg', skip_on_importerror=True)),
+])
+def test_correct_key(backend, qt_core, qt_key, qt_mods, answer):
+    """
+    Make a figure.
+    Send a key_press_event event (using non-public, qtX backend specific api).
+    Catch the event.
+    Assert sent and caught keys are the same.
+    """
+    qt_mod = qt_core.Qt.NoModifier
+    for mod in qt_mods:
+        qt_mod |= getattr(qt_core.Qt, mod)
+
+    class _Event:
+        def isAutoRepeat(self): return False
+        def key(self): return getattr(qt_core.Qt, qt_key)
+        def modifiers(self): return qt_mod
+
+    def on_key_press(event):
+        assert event.key == answer
+
+    qt_canvas = plt.figure().canvas
+    qt_canvas.mpl_connect('key_press_event', on_key_press)
+    qt_canvas.keyPressEvent(_Event())
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_pixel_ratio_change():
+    """
+    Make sure that if the pixel ratio changes, the figure dpi changes but the
+    widget remains the same physical size.
+    """
+
+    prop = 'matplotlib.backends.backend_qt5.FigureCanvasQT.devicePixelRatioF'
+    with mock.patch(prop) as p:
+        p.return_value = 3
+
+        fig = plt.figure(figsize=(5, 2), dpi=120)
+        qt_canvas = fig.canvas
+        qt_canvas.show()
+
+        def set_pixel_ratio(ratio):
+            p.return_value = ratio
+            # Make sure the mocking worked
+            assert qt_canvas._dpi_ratio == ratio
+
+            # The value here doesn't matter, as we can't mock the C++ QScreen
+            # object, but can override the functional wrapper around it.
+            # Emitting this event is simply to trigger the DPI change handler
+            # in Matplotlib in the same manner that it would occur normally.
+            screen.logicalDotsPerInchChanged.emit(96)
+
+            qt_canvas.draw()
+            qt_canvas.flush_events()
+
+        qt_canvas.manager.show()
+        size = qt_canvas.size()
+        screen = qt_canvas.window().windowHandle().screen()
+        set_pixel_ratio(3)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 360
+        assert qt_canvas.renderer.width == 1800
+        assert qt_canvas.renderer.height == 720
+
+        # The actual widget size and figure physical size don't change
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+        set_pixel_ratio(2)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 240
+        assert qt_canvas.renderer.width == 1200
+        assert qt_canvas.renderer.height == 480
+
+        # The actual widget size and figure physical size don't change
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+        set_pixel_ratio(1.5)
+
+        # The DPI and the renderer width/height change
+        assert fig.dpi == 180
+        assert qt_canvas.renderer.width == 900
+        assert qt_canvas.renderer.height == 360
+
+        # The actual widget size and figure physical size don't change
+        assert size.width() == 600
+        assert size.height() == 240
+        assert qt_canvas.get_width_height() == (600, 240)
+        assert (fig.get_size_inches() == (5, 2)).all()
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_subplottool():
+    fig, ax = plt.subplots()
+    with mock.patch(
+            "matplotlib.backends.backend_qt5.SubplotToolQt.exec_",
+            lambda self: None):
+        fig.canvas.manager.toolbar.configure_subplots()
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_figureoptions():
+    fig, ax = plt.subplots()
+    ax.plot([1, 2])
+    ax.imshow([[1]])
+    ax.scatter(range(3), range(3), c=range(3))
+    with mock.patch(
+            "matplotlib.backends.qt_editor._formlayout.FormDialog.exec_",
+            lambda self: None):
+        fig.canvas.manager.toolbar.edit_parameters()
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_double_resize():
+    # Check that resizing a figure twice keeps the same window size
+    fig, ax = plt.subplots()
+    fig.canvas.draw()
+    window = fig.canvas.manager.window
+
+    w, h = 3, 2
+    fig.set_size_inches(w, h)
+    assert fig.canvas.width() == w * matplotlib.rcParams['figure.dpi']
+    assert fig.canvas.height() == h * matplotlib.rcParams['figure.dpi']
+
+    old_width = window.width()
+    old_height = window.height()
+
+    fig.set_size_inches(w, h)
+    assert window.width() == old_width
+    assert window.height() == old_height
+
+
+@pytest.mark.backend('Qt5Agg', skip_on_importerror=True)
+def test_canvas_reinit():
+    from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg
+
+    called = False
+
+    def crashing_callback(fig, stale):
+        nonlocal called
+        fig.canvas.draw_idle()
+        called = True
+
+    fig, ax = plt.subplots()
+    fig.stale_callback = crashing_callback
+    # this should not raise
+    canvas = FigureCanvasQTAgg(fig)
+    fig.stale = True
+    assert called