flake8 fortheano/tensor/nnet/conv3d2d.py

theano/tensor/nnet/conv3d2d.py

@@ -246,7 +246,7 @@ def conv3d(signals, filters,
     # now sum out along the Tf to get the output
     # but we have to sum on a diagonal through the Tf and Ts submatrix.
     if border_mode[0] == 'valid':
-        if _filters_shape_5d[1]!=1:
+        if _filters_shape_5d[1] != 1:
             out_5d = diagonal_subtensor(out_tmp, 1, 3).sum(axis=3)
         else:  # for Tf==1, no sum along Tf, the Ts-axis of the output is unchanged!
             out_5d = out_tmp.reshape((

theano/tests/test_flake8.py

@@ -89,7 +89,6 @@ whitelist_flake8 = [
     "tensor/signal/tests/test_conv.py",
     "tensor/signal/tests/test_downsample.py",
     "tensor/nnet/__init__.py",
-    "tensor/nnet/conv3d2d.py",
     "tensor/nnet/conv.py",
     "tensor/nnet/neighbours.py",
     "tensor/nnet/tests/test_conv.py",