added check to ensure numpy version >= 1.7 is installed in order to use

theano/tensor/raw_random.py

@@ -602,6 +602,11 @@ def choice(random_state, size=None, a=2, replace=True, p=None, ndim=None,
 
     If size is None, a scalar will be returned.
     """
+    # numpy.random.choice is only available for numpy versions >= 1.7
+    major, minor, _ = numpy.version.short_version.split('.')
+    if (int(major), int(minor)) < (1, 7):
+        raise ImportError('choice requires at NumPy version >= 1.7 '
+                          '(%s)' % numpy.__version__)
     a = tensor.as_tensor_variable(a)
     if isinstance(replace, bool):
         replace = tensor.constant(replace, dtype='int8')

theano/tensor/tests/test_raw_random.py

@@ -478,6 +478,12 @@ class T_random_function(utt.InferShapeTester):
     def test_choice(self):
         """Test that raw_random.choice generates the same
         results as numpy."""
+        # numpy.random.choice is only available for numpy versions >= 1.7
+        major, minor, _ = numpy.version.short_version.split('.')
+        if (int(major), int(minor)) < (1, 7):
+            raise utt.SkipTest('choice requires at NumPy version >= 1.7 '
+                               '(%s)' % numpy.__version__)
+        
         # Check over two calls to see if the random state is correctly updated.
         rng_R = random_state_type()
         # Use non-default parameters, and larger dimensions because of