From 902036357c97ed98219d0ccca7304d4811e02805 Mon Sep 17 00:00:00 2001
From: Andreas Kloeckner <inform@tiker.net>
Date: Sun, 20 Dec 2020 13:18:58 -0600
Subject: [PATCH] Drop usage of six

---
 test/undistributed/elwise-perf.py            | 5 -----
 test/undistributed/measure_gpuarray_speed.py | 5 -----
 test/undistributed/reduction-perf.py         | 8 +-------
 3 files changed, 1 insertion(+), 17 deletions(-)

diff --git a/test/undistributed/elwise-perf.py b/test/undistributed/elwise-perf.py
index dc2c2821..8562b99c 100644
--- a/test/undistributed/elwise-perf.py
+++ b/test/undistributed/elwise-perf.py
@@ -1,12 +1,7 @@
-from __future__ import absolute_import
-from __future__ import print_function
-
-#! /usr/bin/env python
 import pycuda.driver as drv
 import pycuda.autoinit
 import numpy
 import numpy.linalg as la
-from six.moves import range
 
 
 def main():
diff --git a/test/undistributed/measure_gpuarray_speed.py b/test/undistributed/measure_gpuarray_speed.py
index 26a20f41..4f6f390e 100755
--- a/test/undistributed/measure_gpuarray_speed.py
+++ b/test/undistributed/measure_gpuarray_speed.py
@@ -1,13 +1,8 @@
-from __future__ import absolute_import
-from __future__ import print_function
-
 #! /usr/bin/env python
 import pycuda.driver as drv
 import pycuda.autoinit
 import numpy
 import numpy.linalg as la
-from six.moves import range
-from six.moves import zip
 
 
 def main():
diff --git a/test/undistributed/reduction-perf.py b/test/undistributed/reduction-perf.py
index 842824cd..da4a0d03 100644
--- a/test/undistributed/reduction-perf.py
+++ b/test/undistributed/reduction-perf.py
@@ -1,11 +1,7 @@
-from __future__ import division
-from __future__ import absolute_import
-from __future__ import print_function
 import pycuda.autoinit
 import pycuda.gpuarray as gpuarray
 import pycuda.driver as cuda
 import numpy
-from six.moves import range
 
 
 def main():
@@ -14,8 +10,6 @@ def main():
     tbl = Table()
     tbl.add_row(("type", "size [MiB]", "time [ms]", "mem.bw [GB/s]"))
 
-    from random import shuffle
-
     for dtype_out in [numpy.float32, numpy.float64]:
         for ex in range(15, 27):
             sz = 1 << ex
@@ -28,7 +22,7 @@ def main():
             assert sz == a_gpu.shape[0]
             assert len(a_gpu.shape) == 1
 
-            from pycuda.reduction import get_sum_kernel, get_dot_kernel
+            from pycuda.reduction import get_dot_kernel
 
             krnl = get_dot_kernel(dtype_out, a_gpu.dtype)
 
-- 
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