flake8

theano/gpuarray/fft.py

@@ -380,4 +380,3 @@ if scikits_cuda_available:
     @op_lifter([theano.tensor.fft.IRFFTOp])
     def local_cuirfft_op(node, context_name):
         return cuirfft_op
-

theano/gpuarray/tests/test_fft.py

@@ -260,4 +260,3 @@ class TestFFT(unittest.TestCase):
             theano.gpuarray.fft.cuirfft(inputs, norm=123)
         with self.assertRaises(ValueError):
             theano.gpuarray.fft.cuirfft(inputs, is_odd=123)
-

theano/sandbox/fourier.py

@@ -20,6 +20,7 @@ message = ("The module theano.sandbox.fourier will soon be deprecated."
            "automatic optimization transfers to the GPU ops.")
 warnings.warn(message)
 
+
 class GradTodo(Op):
     # TODO : need description for class
     __props__ = ()

theano/tensor/fft.py

@@ -206,4 +206,3 @@ def _unitary(norm):
         raise ValueError("Invalid value %s for norm, must be None, 'ortho' or "
                          "'no norm'" % norm)
     return norm
-

theano/tensor/fourier.py

@@ -145,4 +145,3 @@ class Fourier(gof.Op):
 
 
 fft = Fourier()
-

theano/tensor/tests/test_fft.py

@@ -189,4 +189,3 @@ class TestFFT(unittest.TestCase):
             return fft.irfft(inp, norm='no_norm')
         inputs_val = numpy.random.random((1, N, N // 2 + 1, 2)).astype('float32')
         utt.verify_grad(f_irfft, [inputs_val], eps=eps)
-