gnu: python-seaborn: Update to 0.12.0.

* gnu/packages/python-xyz.scm (python-seaborn): Update to 0.12.0.
[source]: Remove patches.
[arguments]: Import (ice-9 match) module. Remove patch-more-tests and
start-xserver phases. Replace build and install phases. Fix pytest command in
check phase.
[native-inputs]: Add python-flit-core and python-pypa-build. Remove
xorg-server-for-tests.
* gnu/packages/patches/python-seaborn-2690.patch,
gnu/packages/patches/python-seaborn-kde-test.patch: Delete files.
* gnu/local.mk (dist_patch_DATA): Unregister them.

2 files changed, 0 insertions, 304 deletions

diff --git a/gnu/packages/patches/python-seaborn-2690.patch b/gnu/packages/patches/python-seaborn-2690.patch
deleted file mode 100644
index 4662d19c2d..0000000000
--- a/gnu/packages/patches/python-seaborn-2690.patch
+++ /dev/null
@@ -1,268 +0,0 @@
-This patch was adapted from the upstream pull request 2690.
-
-From ebd6812d48f5b8ed1ebb7d79bda0b2a7b9ae2812 Mon Sep 17 00:00:00 2001
-From: Michael Waskom <mwaskom@gmail.com>
-Date: Sun, 31 Oct 2021 15:09:27 -0400
-Subject: [PATCH 1/4] Update boxplot tests for mpl3.5 compatability
-
----
- seaborn/tests/test_categorical.py | 30 +++++++++++++++++++-----------
- 1 file changed, 19 insertions(+), 11 deletions(-)
-
-diff --git a/seaborn/tests/test_categorical.py b/seaborn/tests/test_categorical.py
-index d4e09b703..488fad2d6 100644
---- a/seaborn/tests/test_categorical.py
-+++ b/seaborn/tests/test_categorical.py
-@@ -110,6 +110,11 @@ class CategoricalFixture:
-     df = pd.DataFrame(dict(y=y, g=g, h=h, u=u))
-     x_df["W"] = g
- 
-+    def get_box_artists(self, ax):
-+
-+        # Exclude labeled patches, which are for the legend
-+        return [p for p in ax.patches if not p.get_label()]
-+
- 
- class TestCategoricalPlotter(CategoricalFixture):
- 
-@@ -855,12 +863,12 @@ def test_hue_offsets(self):
-     def test_axes_data(self):
- 
-         ax = cat.boxplot(x="g", y="y", data=self.df)
--        assert len(ax.artists) == 3
-+        assert len(self.get_box_artists(ax)) == 3
- 
-         plt.close("all")
- 
-         ax = cat.boxplot(x="g", y="y", hue="h", data=self.df)
--        assert len(ax.artists) == 6
-+        assert len(self.get_box_artists(ax)) == 6
- 
-         plt.close("all")
- 
-@@ -868,14 +876,14 @@ def test_box_colors(self):
- 
-         ax = cat.boxplot(x="g", y="y", data=self.df, saturation=1)
-         pal = palettes.color_palette(n_colors=3)
--        for patch, color in zip(ax.artists, pal):
-+        for patch, color in zip(self.get_box_artists(ax), pal):
-             assert patch.get_facecolor()[:3] == color
- 
-         plt.close("all")
- 
-         ax = cat.boxplot(x="g", y="y", hue="h", data=self.df, saturation=1)
-         pal = palettes.color_palette(n_colors=2)
--        for patch, color in zip(ax.artists, pal * 2):
-+        for patch, color in zip(self.get_box_artists(ax), pal * 2):
-             assert patch.get_facecolor()[:3] == color
- 
-         plt.close("all")
-@@ -884,7 +892,7 @@ def test_draw_missing_boxes(self):
- 
-         ax = cat.boxplot(x="g", y="y", data=self.df,
-                          order=["a", "b", "c", "d"])
--        assert len(ax.artists) == 3
-+        assert len(self.get_box_artists(ax)) == 3
- 
-     def test_missing_data(self):
- 
-@@ -894,13 +902,13 @@ def test_missing_data(self):
-         y[-2:] = np.nan
- 
-         ax = cat.boxplot(x=x, y=y)
--        assert len(ax.artists) == 3
-+        assert len(self.get_box_artists(ax)) == 3
- 
-         plt.close("all")
- 
-         y[-1] = 0
-         ax = cat.boxplot(x=x, y=y, hue=h)
--        assert len(ax.artists) == 7
-+        assert len(self.get_box_artists(ax)) == 7
- 
-         plt.close("all")
- 
-@@ -2766,11 +2774,11 @@ def test_plot_elements(self):
- 
-         g = cat.catplot(x="g", y="y", data=self.df, kind="box")
-         want_artists = self.g.unique().size
--        assert len(g.ax.artists) == want_artists
-+        assert len(self.get_box_artists(g.ax)) == want_artists
- 
-         g = cat.catplot(x="g", y="y", hue="h", data=self.df, kind="box")
-         want_artists = self.g.unique().size * self.h.unique().size
--        assert len(g.ax.artists) == want_artists
-+        assert len(self.get_box_artists(g.ax)) == want_artists
- 
-         g = cat.catplot(x="g", y="y", data=self.df,
-                         kind="violin", inner=None)
-@@ -3137,14 +3145,14 @@ def test_box_colors(self):
- 
-         ax = cat.boxenplot(x="g", y="y", data=self.df, saturation=1)
-         pal = palettes.color_palette(n_colors=3)
--        for patch, color in zip(ax.artists, pal):
-+        for patch, color in zip(self.get_box_artists(ax), pal):
-             assert patch.get_facecolor()[:3] == color
- 
-         plt.close("all")
- 
-         ax = cat.boxenplot(x="g", y="y", hue="h", data=self.df, saturation=1)
-         pal = palettes.color_palette(n_colors=2)
--        for patch, color in zip(ax.artists, pal * 2):
-+        for patch, color in zip(self.get_box_artists(ax), pal * 2):
-             assert patch.get_facecolor()[:3] == color
- 
-         plt.close("all")
-
-From ff78ed38817a346e760194ab3b03b28d7ea3ba1b Mon Sep 17 00:00:00 2001
-From: Michael Waskom <mwaskom@gmail.com>
-Date: Sun, 31 Oct 2021 15:50:54 -0400
-Subject: [PATCH 2/4] Update kdeplot tests for mpl3.5 compatability
-
----
- seaborn/tests/test_distributions.py | 53 ++++++++++++++++++++---------
- 1 file changed, 37 insertions(+), 16 deletions(-)
-
-diff --git a/seaborn/tests/test_distributions.py b/seaborn/tests/test_distributions.py
-index d241fd978..466efb69e 100644
---- a/seaborn/tests/test_distributions.py
-+++ b/seaborn/tests/test_distributions.py
-@@ -39,6 +39,27 @@
- )
- 
- 
-+def get_contour_coords(c):
-+    """Provide compatability for change in contour artist type in mpl3.5."""
-+    # See https://github.com/matplotlib/matplotlib/issues/20906
-+    if isinstance(c, mpl.collections.LineCollection):
-+        return c.get_segments()
-+    elif isinstance(c, mpl.collections.PathCollection):
-+        return [p.vertices[:np.argmax(p.codes) + 1] for p in c.get_paths()]
-+
-+
-+def get_contour_color(c):
-+    """Provide compatability for change in contour artist type in mpl3.5."""
-+    # See https://github.com/matplotlib/matplotlib/issues/20906
-+    if isinstance(c, mpl.collections.LineCollection):
-+        return c.get_color()
-+    elif isinstance(c, mpl.collections.PathCollection):
-+        if c.get_facecolor().size:
-+            return c.get_facecolor()
-+        else:
-+            return c.get_edgecolor()
-+
-+
- class TestDistPlot(object):
- 
-     rs = np.random.RandomState(0)
-@@ -902,7 +923,7 @@ def test_fill_artists(self, long_df):
-             f, ax = plt.subplots()
-             kdeplot(data=long_df, x="x", y="y", hue="c", fill=fill)
-             for c in ax.collections:
--                if fill:
-+                if fill or Version(mpl.__version__) >= Version("3.5.0b0"):
-                     assert isinstance(c, mpl.collections.PathCollection)
-                 else:
-                     assert isinstance(c, mpl.collections.LineCollection)
-@@ -918,8 +939,8 @@ def test_common_norm(self, rng):
-         kdeplot(x=x, y=y, hue=hue, common_norm=True, ax=ax1)
-         kdeplot(x=x, y=y, hue=hue, common_norm=False, ax=ax2)
- 
--        n_seg_1 = sum([len(c.get_segments()) > 0 for c in ax1.collections])
--        n_seg_2 = sum([len(c.get_segments()) > 0 for c in ax2.collections])
-+        n_seg_1 = sum([len(get_contour_coords(c)) > 0 for c in ax1.collections])
-+        n_seg_2 = sum([len(get_contour_coords(c)) > 0 for c in ax2.collections])
-         assert n_seg_2 > n_seg_1
- 
-     def test_log_scale(self, rng):
-@@ -946,7 +967,7 @@ def test_log_scale(self, rng):
-         ax2.contour(10 ** xx, yy, density, levels=levels)
- 
-         for c1, c2 in zip(ax1.collections, ax2.collections):
--            assert_array_equal(c1.get_segments(), c2.get_segments())
-+            assert_array_equal(get_contour_coords(c1), get_contour_coords(c2))
- 
-     def test_bandwidth(self, rng):
- 
-@@ -959,7 +980,7 @@ def test_bandwidth(self, rng):
-         kdeplot(x=x, y=y, bw_adjust=2, ax=ax2)
- 
-         for c1, c2 in zip(ax1.collections, ax2.collections):
--            seg1, seg2 = c1.get_segments(), c2.get_segments()
-+            seg1, seg2 = get_contour_coords(c1), get_contour_coords(c2)
-             if seg1 + seg2:
-                 x1 = seg1[0][:, 0]
-                 x2 = seg2[0][:, 0]
-@@ -980,9 +1001,9 @@ def test_weights(self, rng):
-         kdeplot(x=x, y=y, hue=hue, weights=weights, ax=ax2)
- 
-         for c1, c2 in zip(ax1.collections, ax2.collections):
--            if c1.get_segments() and c2.get_segments():
--                seg1 = np.concatenate(c1.get_segments(), axis=0)
--                seg2 = np.concatenate(c2.get_segments(), axis=0)
-+            if get_contour_coords(c1) and get_contour_coords(c2):
-+                seg1 = np.concatenate(get_contour_coords(c1), axis=0)
-+                seg2 = np.concatenate(get_contour_coords(c2), axis=0)
-                 assert not np.array_equal(seg1, seg2)
- 
-     def test_hue_ignores_cmap(self, long_df):
-@@ -1030,7 +1051,7 @@ def test_levels_and_thresh(self, long_df):
-         kdeplot(**plot_kws, levels=np.linspace(thresh, 1, n), ax=ax2)
- 
-         for c1, c2 in zip(ax1.collections, ax2.collections):
--            assert_array_equal(c1.get_segments(), c2.get_segments())
-+            assert_array_equal(get_contour_coords(c1), get_contour_coords(c2))
- 
-         with pytest.raises(ValueError):
-             kdeplot(**plot_kws, levels=[0, 1, 2])
-@@ -1042,7 +1063,7 @@ def test_levels_and_thresh(self, long_df):
-         kdeplot(**plot_kws, levels=n, thresh=0, ax=ax2)
- 
-         for c1, c2 in zip(ax1.collections, ax2.collections):
--            assert_array_equal(c1.get_segments(), c2.get_segments())
-+            assert_array_equal(get_contour_coords(c1), get_contour_coords(c2))
-         for c1, c2 in zip(ax1.collections, ax2.collections):
-             assert_array_equal(c1.get_facecolors(), c2.get_facecolors())
- 
-@@ -2322,13 +2343,13 @@ def test_bivariate_kde_norm(self, rng):
-         z = [0] * 80 + [1] * 20
- 
-         g = displot(x=x, y=y, col=z, kind="kde", levels=10)
--        l1 = sum(bool(c.get_segments()) for c in g.axes.flat[0].collections)
--        l2 = sum(bool(c.get_segments()) for c in g.axes.flat[1].collections)
-+        l1 = sum(bool(get_contour_coords(c)) for c in g.axes.flat[0].collections)
-+        l2 = sum(bool(get_contour_coords(c)) for c in g.axes.flat[1].collections)
-         assert l1 > l2
- 
-         g = displot(x=x, y=y, col=z, kind="kde", levels=10, common_norm=False)
--        l1 = sum(bool(c.get_segments()) for c in g.axes.flat[0].collections)
--        l2 = sum(bool(c.get_segments()) for c in g.axes.flat[1].collections)
-+        l1 = sum(bool(get_contour_coords(c)) for c in g.axes.flat[0].collections)
-+        l2 = sum(bool(get_contour_coords(c)) for c in g.axes.flat[1].collections)
-         assert l1 == l2
- 
-     def test_bivariate_hist_norm(self, rng):
-
-From a20ce3fabeb23c97b5827d9fb0c6a96ac109ea64 Mon Sep 17 00:00:00 2001
-From: Michael Waskom <mwaskom@gmail.com>
-Date: Sun, 31 Oct 2021 16:10:47 -0400
-Subject: [PATCH 3/4] Update legend tests for mpl3.5 compatability
-
----
- seaborn/tests/test_distributions.py | 5 ++++-
- 1 file changed, 4 insertions(+), 1 deletion(-)
-
-diff --git a/seaborn/tests/test_distributions.py b/seaborn/tests/test_distributions.py
-index 466efb69e..024fe7541 100644
---- a/seaborn/tests/test_distributions.py
-+++ b/seaborn/tests/test_distributions.py
-@@ -872,7 +872,7 @@ def test_legend(self, long_df):
-         for label, level in zip(legend_labels, order):
-             assert label.get_text() == level
- 
--        legend_artists = ax.legend_.findobj(mpl.lines.Line2D)[::2]
-+        legend_artists = ax.legend_.findobj(mpl.lines.Line2D)
-         palette = color_palette()
-         for artist, color in zip(legend_artists, palette):
-             assert_colors_equal(artist.get_color(), color)
-
diff --git a/gnu/packages/patches/python-seaborn-kde-test.patch b/gnu/packages/patches/python-seaborn-kde-test.patch
deleted file mode 100644
index f300dffc6f..0000000000
--- a/gnu/packages/patches/python-seaborn-kde-test.patch
+++ /dev/null
@@ -1,36 +0,0 @@
-This patch is an excerpt of this upstream commit:
-
-  commit 0a24478a550132f1882e5be5f5dbc0fc446a8a6c
-  Author: Michael Waskom <mwaskom@users.noreply.github.com>
-  Date:   Mon Dec 21 18:44:58 2020 -0500
-
-      Raise minimal supported Python to 3.7 and bump requirements (#2396)
-
-It fixes the failure of 'test_weights'.
-
---- a/seaborn/tests/test_distributions.py
-+++ b/seaborn/tests/test_distributions.py
-@@ -709,21 +708,17 @@ class TestKDEPlotUnivariate:
-         integral = integrate.trapz(ydata, np.log10(xdata))
-         assert integral == pytest.approx(1)
- 
--    @pytest.mark.skipif(
--        LooseVersion(scipy.__version__) < "1.2.0",
--        reason="Weights require scipy >= 1.2.0"
--    )
-     def test_weights(self):
- 
-         x = [1, 2]
-         weights = [2, 1]
- 
--        ax = kdeplot(x=x, weights=weights)
-+        ax = kdeplot(x=x, weights=weights, bw_method=.1)
- 
-         xdata, ydata = ax.lines[0].get_xydata().T
- 
--        y1 = ydata[np.argwhere(np.abs(xdata - 1).min())]
--        y2 = ydata[np.argwhere(np.abs(xdata - 2).min())]
-+        y1 = ydata[np.abs(xdata - 1).argmin()]
-+        y2 = ydata[np.abs(xdata - 2).argmin()]
- 
-         assert y1 == pytest.approx(2 * y2)