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authorEfraim Flashner <efraim@flashner.co.il>2023-01-30 11:33:18 +0200
committerEfraim Flashner <efraim@flashner.co.il>2023-01-30 12:39:40 +0200
commit4cf1acc7f3033b50b0bf19e02c9f522d522d338c (patch)
tree9fd64956ee60304c15387eb394cd649e49f01467 /gnu/packages/patches/python-seaborn-kde-test.patch
parentedb8c09addd186d9538d43b12af74d6c7aeea082 (diff)
parent595b53b74e3ef57a1c0c96108ba86d38a170a241 (diff)
downloadguix-4cf1acc7f3033b50b0bf19e02c9f522d522d338c.tar.gz
Merge remote-tracking branch 'origin/master' into core-updates
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Diffstat (limited to 'gnu/packages/patches/python-seaborn-kde-test.patch')
-rw-r--r--gnu/packages/patches/python-seaborn-kde-test.patch36
1 files changed, 0 insertions, 36 deletions
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)