Create test file for type test and move test case.

theano/sandbox/cuda/tests/test_type.py

+import cPickle
+import numpy
+import os.path
+from theano.sandbox.cuda import cuda_available
+
+
+if cuda_available:
+    from theano.sandbox.cuda import CudaNdarray
+
+def test_unpickle_cudandarray_as_numpy_ndarray():
+    # testfile created on cuda enabled machine using
+    # >>> with open('CudaNdarray.pkl', 'wb') as fp:
+    # >>> cPickle.dump(theano.sandbox.cuda.CudaNdarray(np.array([-42.0], dtype=np.float32)), fp)
+
+    testfile_dir = os.path.dirname(os.path.realpath(__file__))
+    with open(os.path.join(testfile_dir, 'CudaNdarray.pkl')) as fp:
+        mat = cPickle.load(fp)
+
+        if cuda_available:
+            assert isinstance(mat, CudaNdarray)
+        else:
+            assert isinstance(mat, numpy.ndarray)
+
+        assert mat[0] == -42.0
\ No newline at end of file

theano/sandbox/cuda/tests/test_var.py

 import unittest
-import cPickle
 import numpy
 from numpy.testing.decorators import skipif
-import os.path
 
 import theano
 from theano import tensor
@@ -12,9 +10,6 @@ from theano.sandbox.cuda import CudaNdarrayType, cuda_available
 import theano.sandbox.cuda as cuda
 
 
-if cuda_available:
-    from theano.sandbox.cuda import CudaNdarray
-
 @skipif(not cuda_available, msg='Optional package cuda disabled')
 def test_float32_shared_constructor():
     npy_row = numpy.zeros((1, 10), dtype='float32')
@@ -126,20 +121,3 @@ class T_updates(unittest.TestCase):
         output_func = theano.function(inputs=[], outputs=[],
                                       updates=[(output_var, up)])
         output_func()
-
-
-def test_unpickle_cudandarray_as_numpy_ndarray():
-    # testfile created on cuda enabled machine using
-    # >>> with open('CudaNdarray.pkl', 'wb') as fp:
-    # >>> cPickle.dump(theano.sandbox.cuda.CudaNdarray(np.array([-42.0], dtype=np.float32)), fp)
-
-    testfile_dir = os.path.dirname(os.path.realpath(__file__))
-    with open(os.path.join(testfile_dir, 'CudaNdarray.pkl')) as fp:
-        mat = cPickle.load(fp)
-
-        if cuda_available:
-            assert isinstance(mat, CudaNdarray)
-        else:
-            assert isinstance(mat, numpy.ndarray)
-
-        assert mat[0] == -42.0
\ No newline at end of file