fix flake8

theano/gpuarray/tests/test_basic_ops.py

@@ -93,7 +93,7 @@ def makeTester(name, op, gpu_op, cases, checks=None, mode_gpu=mode_with_gpu,
                 for _ in range(len(inputs)):
                     if type(inputs[_]) is float:
                         inputs[_] = np.asarray(inputs[_],
-                                                  dtype=theano.config.floatX)
+                                               dtype=theano.config.floatX)
                 self.run_case(testname, inputs)
 
         def run_case(self, testname, inputs):

theano/gpuarray/tests/test_linalg.py

@@ -43,9 +43,9 @@ class TestCusolver(unittest.TestCase):
     def test_diag_solve(self):
         np.random.seed(1)
         A_val = np.asarray([[2, 0, 0], [0, 1, 0], [0, 0, 1]],
-                              dtype="float32")
+                           dtype="float32")
         x_val = np.random.uniform(-0.4, 0.4, (A_val.shape[1],
-                                     1)).astype("float32")
+                                  1)).astype("float32")
         self.run_gpu_solve(A_val, x_val)
 
     def test_bshape_solve(self):

theano/gpuarray/tests/test_multinomial.py

@@ -63,7 +63,7 @@ def test_multinomial_large():
                 for node in f.maker.fgraph.toposort()])
 
     pval = np.arange(10000 * 4,
-                        dtype='float32').reshape((10000, 4)) + 0.1
+                     dtype='float32').reshape((10000, 4)) + 0.1
     pval = pval / pval.sum(axis=1)[:, None]
     uval = np.ones_like(pval[:, 0]) * 0.5
     mval = f(pval, uval)

theano/gpuarray/tests/test_scan.py

@@ -214,7 +214,7 @@ class T_Scan(TestCase):
     def test_gpu4_gibbs_chain(self):
         rng = np.random.RandomState(utt.fetch_seed())
         v_vsample = np.array(rng.binomial(1, .5, size=(3, 20),),
-                                dtype='float32')
+                             dtype='float32')
         vsample = theano.shared(v_vsample)
         trng = theano.sandbox.rng_mrg.MRG_RandomStreams(
             utt.fetch_seed())