Remove duplicate infer_shape tests and add a bad shape test for vector.

theano/tensor/tests/test_basic.py

@@ -4547,22 +4547,26 @@ class T_reshape(unittest.TestCase):
 
         assert numpy.all(f_sub(a_val, b_val) == [2, 3])
 
-    def test_infer_shape(self):
+    def test_bad_shape(self):
         a = matrix('a')
         shapes = ivector('shapes')
         ndim = 2
+        rng = numpy.random.RandomState(seed=utt.fetch_seed())
+        a_val = rng.uniform(size=(3, 4)).astype(config.floatX)
 
-        r = a.reshape(shapes, ndim=2)
+        #Test reshape to 1 dim
+        r = a.reshape(shapes, ndim=1)
         z = zeros_like(r)
 
         f = function([a, shapes], z.shape)
+        self.assertRaises(ValueError, f, a_val, [13])
 
-        rng = numpy.random.RandomState(seed=utt.fetch_seed())
-        a_val = rng.uniform(size=(3, 4)).astype(config.floatX)
+        #Test reshape to 1 dim
+        r = a.reshape(shapes, ndim=2)
+        z = zeros_like(r)
+
+        f = function([a, shapes], z.shape)
 
-        self.assertTrue((f(a_val, [4, 3]) == [4, 3]).all())
-        self.assertTrue((f(a_val, [-1, 3]) == [4, 3]).all())
-        self.assertTrue((f(a_val, [4, -1]) == [4, 3]).all())
         self.assertRaises(ValueError, f, a_val, [-1, 5])
         self.assertRaises(ValueError, f, a_val, [7, -1])
         self.assertRaises(ValueError, f, a_val, [7, 5])