Don't assume a NameNode attribute base in NumpySupport

Cython/Compiler/NumpySupport.py

@@ -26,7 +26,7 @@ def numpy_transform_attribute_node(node):
         return node
 
     pos = node.pos
-    numpy_pxd_scope = node.obj.entry.type.scope.parent_scope
+    numpy_pxd_scope = node.obj.type.scope.parent_scope
         
     def macro_call_node(numpy_macro_name):
         array_node = node.obj

tests/run/numpy_attributes.pyx

@@ -4,6 +4,7 @@
 import numpy as np
 cimport numpy as np
 
+int64_array = np.ones((3, 2), dtype=np.int64)
 
 def f():
     """
@@ -14,7 +15,7 @@ def f():
     shape[1] 2
     strides 16 8
     """
-    cdef np.ndarray x = np.ones((3, 2), dtype=np.int64)
+    cdef np.ndarray x = int64_array
     cdef int i
     cdef Py_ssize_t j, k
     cdef char *p
@@ -23,7 +24,7 @@ def f():
     with nogil:
         i = x.ndim
     print 'ndim', i
-    
+
     with nogil:
         p = x.data
     print 'data', (<np.int64_t*>p)[0]
@@ -42,4 +43,12 @@ def f():
         j = x.strides[0]
         k = x.strides[1]
     print 'strides', j, k
-    
+
+def test_non_namenode_attribute_access(obj):
+    """
+    >>> test_non_namenode_attribute_access(int64_array)
+    data 1
+    """
+    # Try casting, resulting in an AttributeNode with a TypeCastNode as object
+    # and 'data' as attribute
+    print "data", (<np.int64_t *> (<np.ndarray> obj).data)[0]