From 24eb2f00db44d5aac3e127c514d6c04b6a8c82e8 Mon Sep 17 00:00:00 2001
From: Andreas Kloeckner <inform@tiker.net>
Date: Thu, 2 May 2024 18:18:42 -0500
Subject: [PATCH] Run isort on ndarray code

---
 ndarray/gen_elemwise.py      | 11 ++++++-----
 ndarray/gen_reduction.py     | 12 ++++++------
 ndarray/setup_opencl.py      |  5 +++--
 ndarray/test_gpu_elemwise.py |  9 +++++----
 ndarray/test_gpu_ndarray.py  |  1 -
 5 files changed, 20 insertions(+), 18 deletions(-)

diff --git a/ndarray/gen_elemwise.py b/ndarray/gen_elemwise.py
index 32d2db6..dd97f58 100644
--- a/ndarray/gen_elemwise.py
+++ b/ndarray/gen_elemwise.py
@@ -7,9 +7,9 @@
 
 
 import numpy
+import pygpu_ndarray as gpu_ndarray
 import StringIO
 
-import pygpu_ndarray as gpu_ndarray
 _CL_MODE = hasattr(gpu_ndarray, "set_opencl_context")
 
 
@@ -20,6 +20,7 @@
     from pyopencl.tools import dtype_to_ctype
 #    import pyopencl._mymako as mako
     from pyopencl._cluda import CLUDA_PREAMBLE
+
     # TODO: use mako to get rid of the %if
     CLUDA_PREAMBLE = CLUDA_PREAMBLE[:455]
     CLUDA_PREAMBLE += """
@@ -51,12 +52,12 @@
 #define GDIM_2 gridDim.z
  """
 
-from theano import Apply
-from theano import scalar
-from theano.tensor import TensorType
+import logging
+
 import theano
+from theano import Apply, scalar
+from theano.tensor import TensorType
 
-import logging
 _logger_name = 'compyte.gen_elemwise'
 _logger = logging.getLogger(_logger_name)
 _logger.setLevel(logging.INFO)
diff --git a/ndarray/gen_reduction.py b/ndarray/gen_reduction.py
index 793d1ce..c232c0c 100644
--- a/ndarray/gen_reduction.py
+++ b/ndarray/gen_reduction.py
@@ -1,7 +1,6 @@
 import numpy
 import StringIO
 
-
 _CL_MODE = False  # "pyopencl" in __name__
 
 
@@ -12,6 +11,7 @@
     from pyopencl.tools import dtype_to_ctype
 #    import pyopencl._mymako as mako
     from pyopencl._cluda import CLUDA_PREAMBLE
+
     # TODO: use mako to get rid of the %if
     CLUDA_PREAMBLE = CLUDA_PREAMBLE[:455]
     CLUDA_PREAMBLE += """
@@ -43,13 +43,13 @@
 #define GDIM_2 gridDim.z
  """
 
-from theano import Apply
-from theano import scalar
-from theano.tensor import TensorType
-from theano.sandbox.cuda import CudaNdarrayType
+import logging
+
 import theano
+from theano import Apply, scalar
+from theano.sandbox.cuda import CudaNdarrayType
+from theano.tensor import TensorType
 
-import logging
 _logger_name = 'compyte.gen_reduction'
 _logger = logging.getLogger(_logger_name)
 _logger.setLevel(logging.INFO)
diff --git a/ndarray/setup_opencl.py b/ndarray/setup_opencl.py
index a6f4727..089e9cc 100644
--- a/ndarray/setup_opencl.py
+++ b/ndarray/setup_opencl.py
@@ -1,8 +1,8 @@
 import os
-
-from distutils.core import setup, Extension
 from distutils.command.build_ext import build_ext
+from distutils.core import Extension, setup
 from distutils.dep_util import newer
+
 import numpy as np
 
 
@@ -82,6 +82,7 @@ def build_extensions(self):
             self.build_extension(ext)
 
 import sys
+
 if sys.platform == 'darwin':
     libcl_args = {'extra_link_args': ['-framework', 'OpenCL']}
 else:
diff --git a/ndarray/test_gpu_elemwise.py b/ndarray/test_gpu_elemwise.py
index 07ea451..f6fbfd9 100644
--- a/ndarray/test_gpu_elemwise.py
+++ b/ndarray/test_gpu_elemwise.py
@@ -1,12 +1,13 @@
 # TODO: test other dtype
+from functools import reduce
+
 import numpy
+import pygpu_ndarray as gpu_ndarray
 import theano
 
-import pygpu_ndarray as gpu_ndarray
 from .gen_elemwise import MyGpuNdArray, elemwise_collapses
-from .test_gpu_ndarray import (dtypes_all, enable_double,
-                              gen_gpu_nd_array, product)
-from functools import reduce
+from .test_gpu_ndarray import (dtypes_all, enable_double, gen_gpu_nd_array,
+                               product)
 
 
 def rand(shape, dtype):
diff --git a/ndarray/test_gpu_ndarray.py b/ndarray/test_gpu_ndarray.py
index 00f8703..dc84690 100644
--- a/ndarray/test_gpu_ndarray.py
+++ b/ndarray/test_gpu_ndarray.py
@@ -1,7 +1,6 @@
 import copy
 
 import numpy
-
 import pygpu_ndarray as gpu_ndarray
 
 enable_double = True