flake8

theano/sandbox/cuda/tests/test_opt.py

@@ -512,14 +512,14 @@ def test_local_gpu_elemwise_careduce():
     assert len(topo) == 3
     assert topo[1].op.pre_scalar_op == theano.scalar.sqr
     data = numpy.random.rand(3, 4).astype('float32')
-    utt.assert_allclose(f(data), (data*data).sum())
+    utt.assert_allclose(f(data), (data * data).sum())
 
     o = (x * x).sum(axis=1)
     f = theano.function([x], o, mode=mode_with_gpu)
     topo = f.maker.fgraph.toposort()
     assert len(topo) == 3
     assert topo[1].op.pre_scalar_op == theano.scalar.sqr
-    utt.assert_allclose(f(data), (data*data).sum(axis=1))
+    utt.assert_allclose(f(data), (data * data).sum(axis=1))
 
 
 def test_huge_elemwise_fusion():

theano/sandbox/gpuarray/tests/test_opt.py

@@ -213,14 +213,14 @@ def test_local_gpu_elemwise_careduce():
     assert len(topo) == 3
     assert topo[1].op.pre_scalar_op == theano.scalar.sqr
     data = numpy.random.rand(3, 4).astype(theano.config.floatX)
-    utt.assert_allclose(f(data), (data*data).sum())
+    utt.assert_allclose(f(data), (data * data).sum())
 
     o = (x * x).sum(axis=1)
     f = theano.function([x], o, mode=mode_with_gpu)
     topo = f.maker.fgraph.toposort()
     assert len(topo) == 3
     assert topo[1].op.pre_scalar_op == theano.scalar.sqr
-    utt.assert_allclose(f(data), (data*data).sum(axis=1))
+    utt.assert_allclose(f(data), (data * data).sum(axis=1))
 
 
 def test_local_gpu_subtensor():