@@ 0,0 1,48 @@
+From 567558a4eb9b73ab30f9e469b36091eccf445f80 Mon Sep 17 00:00:00 2001
+From: Felix Gruber <felgru@posteo.net>
+Date: Sun, 23 Apr 2023 16:48:59 +0200
+Subject: [PATCH] Fix use of perfplot.
+
+data tuples are unpacked by perfplot before it calls the kernel
+functions.
+---
+ tests/test_dot.py | 16 ++++++++--------
+ 1 file changed, 8 insertions(+), 8 deletions(-)
+
+diff --git a/tests/test_dot.py b/tests/test_dot.py
+index a8160fe..51307ad 100644
+--- a/tests/test_dot.py
++++ b/tests/test_dot.py
+@@ -76,10 +76,10 @@ def test_speed_comparison1(n_range=None):
+     perfplot.plot(
+         setup=lambda n: (np.random.rand(n, 100), np.random.rand(100, n)),
+         kernels=[
+-            lambda xy: np.dot(*xy),
+-            lambda xy: accupy.kdot(*xy, K=2),
+-            lambda xy: accupy.kdot(*xy, K=3),
+-            lambda xy: accupy.fdot(*xy),
++            lambda x, y: np.dot(x, y),
++            lambda x, y: accupy.kdot(x, y, K=2),
++            lambda x, y: accupy.kdot(x, y, K=3),
++            lambda x, y: accupy.fdot(x, y),
+         ],
+         labels=["np.dot", "accupy.kdot[2]", "accupy.kdot[3]", "accupy.fdot"],
+         n_range=n_range,
+@@ -96,10 +96,10 @@ def test_speed_comparison2(n_range=None):
+     perfplot.plot(
+         setup=lambda n: (np.random.rand(100, n), np.random.rand(n, 100)),
+         kernels=[
+-            lambda xy: np.dot(*xy),
+-            lambda xy: accupy.kdot(*xy, K=2),
+-            lambda xy: accupy.kdot(*xy, K=3),
+-            lambda xy: accupy.fdot(*xy),
++            lambda x, y: np.dot(x, y),
++            lambda x, y: accupy.kdot(x, y, K=2),
++            lambda x, y: accupy.kdot(x, y, K=3),
++            lambda x, y: accupy.fdot(x, y),
+         ],
+         labels=["np.dot", "accupy.kdot[2]", "accupy.kdot[3]", "accupy.fdot"],
+         n_range=n_range,
+-- 
+2.39.2
+


@@ 0,0 1,113 @@
+From 1da1ed24cfba8a051b6c2f452a67ebfee77ca040 Mon Sep 17 00:00:00 2001
+From: Felix Gruber <felgru@posteo.net>
+Date: Sun, 23 Apr 2023 15:42:19 +0200
+Subject: [PATCH] Use dufte style from matplotx.
+
+The stand-alone dufte package has been deprecated in favor of the dufte
+style that has been integrated into matplotx.
+---
+ tests/test_dot.py  | 10 +++++-----
+ tests/test_sums.py | 12 ++++++------
+ tox.ini            |  2 +-
+ 3 files changed, 12 insertions(+), 12 deletions(-)
+
+diff --git a/tests/test_dot.py b/tests/test_dot.py
+index 0a40a0c..a8160fe 100644
+--- a/tests/test_dot.py
++++ b/tests/test_dot.py
+@@ -1,5 +1,5 @@
+-import dufte
+ import matplotlib.pyplot as plt
++import matplotx
+ import numpy as np
+ import perfplot
+ import pytest
+@@ -33,7 +33,7 @@ def test_fdot(cond):
+ 
+ 
+ def test_accuracy_comparison_illcond(target_cond=None):
+-    plt.style.use(dufte.style)
++    plt.style.use(matplotx.styles.dufte)
+ 
+     if target_cond is None:
+         target_cond = [10 ** k for k in range(2)]
+@@ -61,13 +61,13 @@ def test_accuracy_comparison_illcond(target_cond=None):
+     for label, d in zip(labels, data.T):
+         plt.loglog(condition_numbers, d, label=label)
+ 
+-    dufte.legend()
++    matplotx.line_labels()
+     plt.xlabel("condition number")
+-    dufte.ylabel("relative error")
++    matplotx.ylabel_top("relative error")
+ 
+ 
+ def test_speed_comparison1(n_range=None):
+-    plt.style.use(dufte.style)
++    plt.style.use(matplotx.styles.dufte)
+ 
+     if n_range is None:
+         n_range = [2 ** k for k in range(2)]
+diff --git a/tests/test_sums.py b/tests/test_sums.py
+index 1c0f6b0..8cd9ddb 100644
+--- a/tests/test_sums.py
++++ b/tests/test_sums.py
+@@ -1,5 +1,5 @@
+-import dufte
+ import matplotlib.pyplot as plt
++import matplotx
+ import numpy as np
+ import perfplot
+ import pytest
+@@ -32,7 +32,7 @@ def test_fsum(cond):
+ 
+ 
+ def test_accuracy_comparison_illcond(target_conds=None):
+-    plt.style.use(dufte.style)
++    plt.style.use(matplotx.styles.dufte)
+ 
+     if target_conds is None:
+         target_conds = [10 ** k for k in range(1, 2)]
+@@ -71,14 +71,14 @@ def test_accuracy_comparison_illcond(target_conds=None):
+     for label, color, d in zip(labels, colors, data.T):
+         plt.loglog(condition_numbers, d, label=label, color=color)
+ 
+-    dufte.legend()
++    matplotx.line_labels()
+     plt.xlabel("condition number")
+-    dufte.ylabel("relative error")
++    matplotx.ylabel_top("relative error")
+     # plt.gca().set_aspect(1.3)
+ 
+ 
+ def test_speed_comparison1(n_range=None):
+-    plt.style.use(dufte.style)
++    plt.style.use(matplotx.styles.dufte)
+ 
+     if n_range is None:
+         n_range = [2 ** k for k in range(2)]
+@@ -109,7 +109,7 @@ def test_speed_comparison1(n_range=None):
+ 
+ 
+ def test_speed_comparison2(n_range=None):
+-    plt.style.use(dufte.style)
++    plt.style.use(matplotx.styles.dufte)
+ 
+     if n_range is None:
+         n_range = [2 ** k for k in range(2)]
+diff --git a/tox.ini b/tox.ini
+index 79a53ec..524b3bc 100644
+--- a/tox.ini
++++ b/tox.ini
+@@ -4,7 +4,7 @@ isolated_build = True
+ 
+ [testenv]
+ deps =
+-    dufte
++    matplotx
+     perfplot
+     pytest
+     pytest-cov
+-- 
+2.39.2
+