Merge branch '_numpy' of git://github.com/dagss/cython into release

Cython/Compiler/ExprNodes.py

@@ -34,6 +34,8 @@
 import Options
 from Cython import Utils
 from Annotate import AnnotationItem
+from NumpySupport import numpy_transform_attribute_node, \
+         should_apply_numpy_hack
 
 from Cython.Debugging import print_call_chain
 from DebugFlags import debug_disposal_code, debug_temp_alloc, \
@@ -4459,18 +4461,15 @@ def analyse_attribute(self, env, obj_type = None):
                     # attribute.
                     pass
         # NumPy hack
-        if (getattr(self.obj, 'type', None) and
-                obj_type.is_extension_type and
-                obj_type.objstruct_cname == 'PyArrayObject'):
-            from NumpySupport import numpy_transform_attribute_node
+        if (getattr(self.obj, 'type', None) and obj_type.is_extension_type
+            and should_apply_numpy_hack(obj_type)):
             replacement_node = numpy_transform_attribute_node(self)
             # Since we can't actually replace our node yet, we only grasp its
             # type, and then the replacement happens in
             # AnalyseExpresssionsTransform...
             self.type = replacement_node.type
             if replacement_node is not self:
                 return
-
         # If we get here, the base object is not a struct/union/extension
         # type, or it is an extension type and the attribute is either not
         # declared or is declared as a Python method. Treat it as a Python

Cython/Compiler/Main.py

@@ -24,6 +24,10 @@
 
 verbose = 0
 
+standard_include_path = os.path.abspath(os.path.normpath(
+    os.path.join(os.path.dirname(__file__), os.path.pardir, 'Includes')))
+
+
 class CompilationData(object):
     #  Bundles the information that is passed from transform to transform.
     #  (For now, this is only)
@@ -70,8 +74,6 @@ def __init__(self, include_directories, compiler_directives, cpp=False,
 
         self.pxds = {} # full name -> node tree
 
-        standard_include_path = os.path.abspath(os.path.normpath(
-            os.path.join(os.path.dirname(__file__), os.path.pardir, 'Includes')))
         self.include_directories = include_directories + [standard_include_path]
 
         self.set_language_level(language_level)

Cython/Compiler/NumpySupport.py

@@ -2,13 +2,24 @@
 # the NumPy ABI changed so that the shape, ndim, strides, etc. fields were
 # no longer available, however the use of these were so entrenched in
 # Cython codes
-
-import PyrexTypes
-import ExprNodes
+import os
 from StringEncoding import EncodedString
 
+def should_apply_numpy_hack(obj_type):
+    if not obj_type.is_extension_type or obj_type.objstruct_cname != 'PyArrayObject':
+        return False
+    from Scanning import FileSourceDescriptor
+    from Main import standard_include_path
+    type_source = obj_type.pos[0]
+    if isinstance(type_source, FileSourceDescriptor):
+        type_source_path = os.path.abspath(os.path.normpath(type_source.filename))
+        return type_source_path == os.path.join(standard_include_path, 'numpy.pxd')
+    else:
+        return False
 
 def numpy_transform_attribute_node(node):
+    import PyrexTypes
+    import ExprNodes
     assert isinstance(node, ExprNodes.AttributeNode)
 
     if node.obj.type.objstruct_cname != 'PyArrayObject':

Cython/Compiler/ParseTreeTransforms.py

@@ -18,7 +18,8 @@
 from Cython.Compiler.StringEncoding import EncodedString
 from Cython.Compiler.Errors import error, warning, CompileError, InternalError
 from Cython.Compiler.Code import UtilityCode
-
+from Cython.Compiler.NumpySupport import (should_apply_numpy_hack,
+                                          numpy_transform_attribute_node)
 import copy
 
 
@@ -1797,8 +1798,7 @@ def visit_AttributeNode(self, node):
         #print node.dump()
         #return node
         type = node.obj.type
-        if type.is_extension_type and type.objstruct_cname == 'PyArrayObject':
-            from NumpySupport import numpy_transform_attribute_node
+        if type.is_extension_type and should_apply_numpy_hack(type):
             node = numpy_transform_attribute_node(node)
 
         self.visitchildren(node)