Fix a test(bad syntax and fix the following problem). Add basic mean test.

theano/tensor/basic.py

@@ -2622,7 +2622,7 @@ def mean(input, axis = None, op = False):
     if input.dtype == 'float32':
         shp = cast(shp, 'float32')
     if axis is None:
-        axis = range(input.type.ndim)
+        axis = range(input.ndim)
     elif isinstance(axis, int):
         axis = [axis]
     for i in axis:

theano/tensor/tests/test_basic.py

@@ -2977,10 +2977,17 @@ class T_divimpl(unittest.TestCase):
 class T_mean(unittest.TestCase):
     def test_regression_mean_of_ndarray_failure(self):
         try:
-            T.mean(numpy.zeros(1))
+            theano.tensor.mean(numpy.zeros(1))
         except AttributeError:
             self.fail()
 
+    def test0(self):
+        #Simple test...
+        x = theano.tensor.vector()
+        f = theano.function([x],theano.tensor.mean(x))
+        data = numpy.asarray(numpy.random.rand(50), dtype=config.floatX)
+        assert f(data) == numpy.mean(data)
+
 # class T_abs(unittest.TestCase):
 #     def test_impl(self):
 #         t = as_tensor_variable(1.0)