flake8 for theano/misc/pycuda_utils.py

theano/misc/pycuda_utils.py

-import numpy
 import pycuda.gpuarray
 
 from theano.sandbox import cuda
-if cuda.cuda_available == False:
+if cuda.cuda_available is False:
     raise ImportError('Optional theano package cuda disabled')
 
 
@@ -29,7 +28,7 @@ def to_gpuarray(x, copyif=False):
         # Check if it is c contiguous
         size = 1
         c_contiguous = True
-        for i in range(x.ndim-1, -1, -1):
+        for i in range(x.ndim - 1, -1, -1):
             if x.shape[i] == 1:
                 continue
             if x._strides[i] != size:
@@ -59,7 +58,7 @@ def to_cudandarray(x):
     else:
         strides = [1]
         for i in x.shape[::-1][:-1]:
-            strides.append(strides[-1]*i)
+            strides.append(strides[-1] * i)
         strides = tuple(strides[::-1])
         ptr = int(x.gpudata)  # in pycuda trunk, y.ptr also works, which is a little cleaner
         z = cuda.from_gpu_pointer(ptr, x.shape, strides, x)

theano/tests/test_flake8.py

@@ -184,7 +184,6 @@ whitelist_flake8 = [
     "scan_module/scan_opt.py",
     "scan_module/tests/test_scan.py",
     "scan_module/tests/test_scan_opt.py",
-    "misc/pycuda_utils.py",
     "misc/pycuda_example.py",
     "misc/ordered_set.py",
     "misc/strutil.py",