Adding cython v0.20.2 in third-party.

third_party/cython/src/Cython/Compiler/Nodes.py

+#
+#   Parse tree nodes
+#
+
+import cython
+cython.declare(sys=object, os=object, copy=object,
+               Builtin=object, error=object, warning=object, Naming=object, PyrexTypes=object,
+               py_object_type=object, ModuleScope=object, LocalScope=object, ClosureScope=object,
+               StructOrUnionScope=object, PyClassScope=object,
+               CppClassScope=object, UtilityCode=object, EncodedString=object,
+               absolute_path_length=cython.Py_ssize_t)
+
+import sys, os, copy
+from itertools import chain
+
+import Builtin
+from Errors import error, warning, InternalError, CompileError
+import Naming
+import PyrexTypes
+import TypeSlots
+from PyrexTypes import py_object_type, error_type
+from Symtab import (ModuleScope, LocalScope, ClosureScope,
+    StructOrUnionScope, PyClassScope, CppClassScope, TemplateScope)
+from Code import UtilityCode
+from StringEncoding import EncodedString, escape_byte_string, split_string_literal
+import Options
+import DebugFlags
+from Cython.Utils import cached_function
+
+absolute_path_length = 0
+
+def relative_position(pos):
+    """
+    We embed the relative filename in the generated C file, since we
+    don't want to have to regenerate and compile all the source code
+    whenever the Python install directory moves (which could happen,
+    e.g,. when distributing binaries.)
+
+    INPUT:
+        a position tuple -- (absolute filename, line number column position)
+
+    OUTPUT:
+        relative filename
+        line number
+
+    AUTHOR: William Stein
+    """
+    global absolute_path_length
+    if absolute_path_length==0:
+        absolute_path_length = len(os.path.abspath(os.getcwd()))
+    return (pos[0].get_filenametable_entry()[absolute_path_length+1:], pos[1])
+
+def embed_position(pos, docstring):
+    if not Options.embed_pos_in_docstring:
+        return docstring
+    pos_line = u'File: %s (starting at line %s)' % relative_position(pos)
+    if docstring is None:
+        # unicode string
+        return EncodedString(pos_line)
+
+    # make sure we can encode the filename in the docstring encoding
+    # otherwise make the docstring a unicode string
+    encoding = docstring.encoding
+    if encoding is not None:
+        try:
+            pos_line.encode(encoding)
+        except UnicodeEncodeError:
+            encoding = None
+
+    if not docstring:
+        # reuse the string encoding of the original docstring
+        doc = EncodedString(pos_line)
+    else:
+        doc = EncodedString(pos_line + u'\n' + docstring)
+    doc.encoding = encoding
+    return doc
+
+
+def write_func_call(func, codewriter_class):
+    def f(*args, **kwds):
+        if len(args) > 1 and isinstance(args[1], codewriter_class):
+            # here we annotate the code with this function call
+            # but only if new code is generated
+            node, code = args[:2]
+            marker = '                    /* %s -> %s.%s %s */' % (
+                    ' ' * code.call_level,
+                    node.__class__.__name__,
+                    func.__name__,
+                    node.pos[1:])
+            pristine = code.buffer.stream.tell()
+            code.putln(marker)
+            start = code.buffer.stream.tell()
+            code.call_level += 4
+            res = func(*args, **kwds)
+            code.call_level -= 4
+            if start == code.buffer.stream.tell():
+                code.buffer.stream.seek(pristine)
+            else:
+                marker = marker.replace('->', '<-')
+                code.putln(marker)
+            return res
+        else:
+            return func(*args, **kwds)
+    return f
+
+class VerboseCodeWriter(type):
+    # Set this as a metaclass to trace function calls in code.
+    # This slows down code generation and makes much larger files.
+    def __new__(cls, name, bases, attrs):
+        from types import FunctionType
+        from Code import CCodeWriter
+        attrs = dict(attrs)
+        for mname, m in attrs.items():
+            if isinstance(m, FunctionType):
+                attrs[mname] = write_func_call(m, CCodeWriter)
+        return super(VerboseCodeWriter, cls).__new__(cls, name, bases, attrs)
+
+
+class CheckAnalysers(type):
+    """Metaclass to check that type analysis functions return a node.
+    """
+    methods = set(['analyse_types',
+                   'analyse_expressions',
+                   'analyse_target_types'])
+
+    def __new__(cls, name, bases, attrs):
+        from types import FunctionType
+        def check(name, func):
+            def call(*args, **kwargs):
+                retval = func(*args, **kwargs)
+                if retval is None:
+                    print name, args, kwargs
+                return retval
+            return call
+
+        attrs = dict(attrs)
+        for mname, m in attrs.items():
+            if isinstance(m, FunctionType) and mname in cls.methods:
+                attrs[mname] = check(mname, m)
+        return super(CheckAnalysers, cls).__new__(cls, name, bases, attrs)
+
+
+class Node(object):
+    #  pos         (string, int, int)   Source file position
+    #  is_name     boolean              Is a NameNode
+    #  is_literal  boolean              Is a ConstNode
+
+    #__metaclass__ = CheckAnalysers
+    if DebugFlags.debug_trace_code_generation:
+        __metaclass__ = VerboseCodeWriter
+
+    is_name = 0
+    is_none = 0
+    is_nonecheck = 0
+    is_literal = 0
+    is_terminator = 0
+    temps = None
+
+    # All descendants should set child_attrs to a list of the attributes
+    # containing nodes considered "children" in the tree. Each such attribute
+    # can either contain a single node or a list of nodes. See Visitor.py.
+    child_attrs = None
+
+    cf_state = None
+
+    # This may be an additional (or 'actual') type that will be checked when
+    # this node is coerced to another type. This could be useful to set when
+    # the actual type to which it can coerce is known, but you want to leave
+    # the type a py_object_type
+    coercion_type = None
+
+    def __init__(self, pos, **kw):
+        self.pos = pos
+        self.__dict__.update(kw)
+
+    gil_message = "Operation"
+
+    nogil_check = None
+
+    def gil_error(self, env=None):
+        error(self.pos, "%s not allowed without gil" % self.gil_message)
+
+    cpp_message = "Operation"
+
+    def cpp_check(self, env):
+        if not env.is_cpp():
+            self.cpp_error()
+
+    def cpp_error(self):
+        error(self.pos, "%s only allowed in c++" % self.cpp_message)
+
+    def clone_node(self):
+        """Clone the node. This is defined as a shallow copy, except for member lists
+           amongst the child attributes (from get_child_accessors) which are also
+           copied. Lists containing child nodes are thus seen as a way for the node
+           to hold multiple children directly; the list is not treated as a separate
+           level in the tree."""
+        result = copy.copy(self)
+        for attrname in result.child_attrs:
+            value = getattr(result, attrname)
+            if isinstance(value, list):
+                setattr(result, attrname, [x for x in value])
+        return result
+
+
+    #
+    #  There are 3 phases of parse tree processing, applied in order to
+    #  all the statements in a given scope-block:
+    #
+    #  (0) analyse_declarations
+    #        Make symbol table entries for all declarations at the current
+    #        level, both explicit (def, cdef, etc.) and implicit (assignment
+    #        to an otherwise undeclared name).
+    #
+    #  (1) analyse_expressions
+    #         Determine the result types of expressions and fill in the
+    #         'type' attribute of each ExprNode. Insert coercion nodes into the
+    #         tree where needed to convert to and from Python objects.
+    #         Allocate temporary locals for intermediate results. Fill
+    #         in the 'result_code' attribute of each ExprNode with a C code
+    #         fragment.
+    #
+    #  (2) generate_code
+    #         Emit C code for all declarations, statements and expressions.
+    #         Recursively applies the 3 processing phases to the bodies of
+    #         functions.
+    #
+
+    def analyse_declarations(self, env):
+        pass
+
+    def analyse_expressions(self, env):
+        raise InternalError("analyse_expressions not implemented for %s" % \
+            self.__class__.__name__)
+
+    def generate_code(self, code):
+        raise InternalError("generate_code not implemented for %s" % \
+            self.__class__.__name__)
+
+    def annotate(self, code):
+        # mro does the wrong thing
+        if isinstance(self, BlockNode):
+            self.body.annotate(code)
+
+    def end_pos(self):
+        try:
+            return self._end_pos
+        except AttributeError:
+            pos = self.pos
+            if not self.child_attrs:
+                self._end_pos = pos
+                return pos
+            for attr in self.child_attrs:
+                child = getattr(self, attr)
+                # Sometimes lists, sometimes nodes
+                if child is None:
+                    pass
+                elif isinstance(child, list):
+                    for c in child:
+                        pos = max(pos, c.end_pos())
+                else:
+                    pos = max(pos, child.end_pos())
+            self._end_pos = pos
+            return pos
+
+    def dump(self, level=0, filter_out=("pos",), cutoff=100, encountered=None):
+        """Debug helper method that returns a recursive string representation of this node.
+        """
+        if cutoff == 0:
+            return "<...nesting level cutoff...>"
+        if encountered is None:
+            encountered = set()
+        if id(self) in encountered:
+            return "<%s (0x%x) -- already output>" % (self.__class__.__name__, id(self))
+        encountered.add(id(self))
+
+        def dump_child(x, level):
+            if isinstance(x, Node):
+                return x.dump(level, filter_out, cutoff-1, encountered)
+            elif isinstance(x, list):
+                return "[%s]" % ", ".join([dump_child(item, level) for item in x])
+            else:
+                return repr(x)
+
+
+        attrs = [(key, value) for key, value in self.__dict__.items() if key not in filter_out]
+        if len(attrs) == 0:
+            return "<%s (0x%x)>" % (self.__class__.__name__, id(self))
+        else:
+            indent = "  " * level
+            res = "<%s (0x%x)\n" % (self.__class__.__name__, id(self))
+            for key, value in attrs:
+                res += "%s  %s: %s\n" % (indent, key, dump_child(value, level + 1))
+            res += "%s>" % indent
+            return res
+
+    def dump_pos(self, mark_column=False, marker='(#)'):
+        """Debug helper method that returns the source code context of this node as a string.
+        """
+        if not self.pos:
+            return u''
+        source_desc, line, col = self.pos
+        contents = source_desc.get_lines(encoding='ASCII',
+                                         error_handling='ignore')
+        # line numbers start at 1
+        lines = contents[max(0,line-3):line]
+        current = lines[-1]
+        if mark_column:
+            current = current[:col] + marker + current[col:]
+        lines[-1] = current.rstrip() + u'             # <<<<<<<<<<<<<<\n'
+        lines += contents[line:line+2]
+        return u'"%s":%d:%d\n%s\n' % (
+            source_desc.get_escaped_description(), line, col, u''.join(lines))
+
+class CompilerDirectivesNode(Node):
+    """
+    Sets compiler directives for the children nodes
+    """
+    #  directives     {string:value}  A dictionary holding the right value for
+    #                                 *all* possible directives.
+    #  body           Node
+    child_attrs = ["body"]
+
+    def analyse_declarations(self, env):
+        old = env.directives
+        env.directives = self.directives
+        self.body.analyse_declarations(env)
+        env.directives = old
+
+    def analyse_expressions(self, env):
+        old = env.directives
+        env.directives = self.directives
+        self.body = self.body.analyse_expressions(env)
+        env.directives = old
+        return self
+
+    def generate_function_definitions(self, env, code):
+        env_old = env.directives
+        code_old = code.globalstate.directives
+        code.globalstate.directives = self.directives
+        self.body.generate_function_definitions(env, code)
+        env.directives = env_old
+        code.globalstate.directives = code_old
+
+    def generate_execution_code(self, code):
+        old = code.globalstate.directives
+        code.globalstate.directives = self.directives
+        self.body.generate_execution_code(code)
+        code.globalstate.directives = old
+
+    def annotate(self, code):
+        old = code.globalstate.directives
+        code.globalstate.directives = self.directives
+        self.body.annotate(code)
+        code.globalstate.directives = old
+
+class BlockNode(object):
+    #  Mixin class for nodes representing a declaration block.
+
+    def generate_cached_builtins_decls(self, env, code):
+        entries = env.global_scope().undeclared_cached_builtins
+        for entry in entries:
+            code.globalstate.add_cached_builtin_decl(entry)
+        del entries[:]
+
+    def generate_lambda_definitions(self, env, code):
+        for node in env.lambda_defs:
+            node.generate_function_definitions(env, code)
+
+class StatListNode(Node):
+    # stats     a list of StatNode
+
+    child_attrs = ["stats"]
+
+    def create_analysed(pos, env, *args, **kw):
+        node = StatListNode(pos, *args, **kw)
+        return node # No node-specific analysis necesarry
+    create_analysed = staticmethod(create_analysed)
+
+    def analyse_declarations(self, env):
+        #print "StatListNode.analyse_declarations" ###
+        for stat in self.stats:
+            stat.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        #print "StatListNode.analyse_expressions" ###
+        self.stats = [ stat.analyse_expressions(env)
+                       for stat in self.stats ]
+        return self
+
+    def generate_function_definitions(self, env, code):
+        #print "StatListNode.generate_function_definitions" ###
+        for stat in self.stats:
+            stat.generate_function_definitions(env, code)
+
+    def generate_execution_code(self, code):
+        #print "StatListNode.generate_execution_code" ###
+        for stat in self.stats:
+            code.mark_pos(stat.pos)
+            stat.generate_execution_code(code)
+
+    def annotate(self, code):
+        for stat in self.stats:
+            stat.annotate(code)
+
+
+class StatNode(Node):
+    #
+    #  Code generation for statements is split into the following subphases:
+    #
+    #  (1) generate_function_definitions
+    #        Emit C code for the definitions of any structs,
+    #        unions, enums and functions defined in the current
+    #        scope-block.
+    #
+    #  (2) generate_execution_code
+    #        Emit C code for executable statements.
+    #
+
+    def generate_function_definitions(self, env, code):
+        pass
+
+    def generate_execution_code(self, code):
+        raise InternalError("generate_execution_code not implemented for %s" % \
+            self.__class__.__name__)
+
+
+class CDefExternNode(StatNode):
+    #  include_file   string or None
+    #  body           StatNode
+
+    child_attrs = ["body"]
+
+    def analyse_declarations(self, env):
+        if self.include_file:
+            env.add_include_file(self.include_file)
+        old_cinclude_flag = env.in_cinclude
+        env.in_cinclude = 1
+        self.body.analyse_declarations(env)
+        env.in_cinclude = old_cinclude_flag
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+    def annotate(self, code):
+        self.body.annotate(code)
+
+
+class CDeclaratorNode(Node):
+    # Part of a C declaration.
+    #
+    # Processing during analyse_declarations phase:
+    #
+    #   analyse
+    #      Returns (name, type) pair where name is the
+    #      CNameDeclaratorNode of the name being declared
+    #      and type is the type it is being declared as.
+    #
+    #  calling_convention  string   Calling convention of CFuncDeclaratorNode
+    #                               for which this is a base
+
+    child_attrs = []
+
+    calling_convention = ""
+
+    def analyse_templates(self):
+        # Only C++ functions have templates.
+        return None
+
+class CNameDeclaratorNode(CDeclaratorNode):
+    #  name    string             The Cython name being declared
+    #  cname   string or None     C name, if specified
+    #  default ExprNode or None   the value assigned on declaration
+
+    child_attrs = ['default']
+
+    default = None
+
+    def analyse(self, base_type, env, nonempty = 0):
+        if nonempty and self.name == '':
+            # May have mistaken the name for the type.
+            if base_type.is_ptr or base_type.is_array or base_type.is_buffer:
+                error(self.pos, "Missing argument name")
+            elif base_type.is_void:
+                error(self.pos, "Use spam() rather than spam(void) to declare a function with no arguments.")
+            else:
+                self.name = base_type.declaration_code("", for_display=1, pyrex=1)
+                base_type = py_object_type
+
+        if base_type.is_fused and env.fused_to_specific:
+            base_type = base_type.specialize(env.fused_to_specific)
+
+        self.type = base_type
+        return self, base_type
+
+class CPtrDeclaratorNode(CDeclaratorNode):
+    # base     CDeclaratorNode
+
+    child_attrs = ["base"]
+
+    def analyse(self, base_type, env, nonempty = 0):
+        if base_type.is_pyobject:
+            error(self.pos,
+                "Pointer base type cannot be a Python object")
+        ptr_type = PyrexTypes.c_ptr_type(base_type)
+        return self.base.analyse(ptr_type, env, nonempty = nonempty)
+
+class CReferenceDeclaratorNode(CDeclaratorNode):
+    # base     CDeclaratorNode
+
+    child_attrs = ["base"]
+
+    def analyse(self, base_type, env, nonempty = 0):
+        if base_type.is_pyobject:
+            error(self.pos,
+                  "Reference base type cannot be a Python object")
+        ref_type = PyrexTypes.c_ref_type(base_type)
+        return self.base.analyse(ref_type, env, nonempty = nonempty)
+
+class CArrayDeclaratorNode(CDeclaratorNode):
+    # base        CDeclaratorNode
+    # dimension   ExprNode
+
+    child_attrs = ["base", "dimension"]
+
+    def analyse(self, base_type, env, nonempty = 0):
+        if base_type.is_cpp_class or base_type.is_cfunction:
+            from ExprNodes import TupleNode
+            if isinstance(self.dimension, TupleNode):
+                args = self.dimension.args
+            else:
+                args = self.dimension,
+            values = [v.analyse_as_type(env) for v in args]
+            if None in values:
+                ix = values.index(None)
+                error(args[ix].pos, "Template parameter not a type")
+                base_type = error_type
+            else:
+                base_type = base_type.specialize_here(self.pos, values)
+            return self.base.analyse(base_type, env, nonempty = nonempty)
+        if self.dimension:
+            self.dimension = self.dimension.analyse_const_expression(env)
+            if not self.dimension.type.is_int:
+                error(self.dimension.pos, "Array dimension not integer")
+            size = self.dimension.get_constant_c_result_code()
+            if size is not None:
+                try:
+                    size = int(size)
+                except ValueError:
+                    # runtime constant?
+                    pass
+        else:
+            size = None
+        if not base_type.is_complete():
+            error(self.pos,
+                "Array element type '%s' is incomplete" % base_type)
+        if base_type.is_pyobject:
+            error(self.pos,
+                "Array element cannot be a Python object")
+        if base_type.is_cfunction:
+            error(self.pos,
+                "Array element cannot be a function")
+        array_type = PyrexTypes.c_array_type(base_type, size)
+        return self.base.analyse(array_type, env, nonempty = nonempty)
+
+
+class CFuncDeclaratorNode(CDeclaratorNode):
+    # base             CDeclaratorNode
+    # args             [CArgDeclNode]
+    # templates        [TemplatePlaceholderType]
+    # has_varargs      boolean
+    # exception_value  ConstNode
+    # exception_check  boolean    True if PyErr_Occurred check needed
+    # nogil            boolean    Can be called without gil
+    # with_gil         boolean    Acquire gil around function body
+    # is_const_method  boolean    Whether this is a const method
+
+    child_attrs = ["base", "args", "exception_value"]
+
+    overridable = 0
+    optional_arg_count = 0
+    is_const_method = 0
+    templates = None
+
+    def analyse_templates(self):
+        if isinstance(self.base, CArrayDeclaratorNode):
+            from ExprNodes import TupleNode, NameNode
+            template_node = self.base.dimension
+            if isinstance(template_node, TupleNode):
+                template_nodes = template_node.args
+            elif isinstance(template_node, NameNode):
+                template_nodes = [template_node]
+            else:
+                error(template_node.pos, "Template arguments must be a list of names")
+                return None
+            self.templates = []
+            for template in template_nodes:
+                if isinstance(template, NameNode):
+                    self.templates.append(PyrexTypes.TemplatePlaceholderType(template.name))
+                else:
+                    error(template.pos, "Template arguments must be a list of names")
+            self.base = self.base.base
+            return self.templates
+        else:
+            return None
+
+    def analyse(self, return_type, env, nonempty = 0, directive_locals = {}):
+        if nonempty:
+            nonempty -= 1
+        func_type_args = []
+        for i, arg_node in enumerate(self.args):
+            name_declarator, type = arg_node.analyse(env, nonempty = nonempty,
+                                                     is_self_arg = (i == 0 and env.is_c_class_scope))
+            name = name_declarator.name
+            if name in directive_locals:
+                type_node = directive_locals[name]
+                other_type = type_node.analyse_as_type(env)
+                if other_type is None:
+                    error(type_node.pos, "Not a type")
+                elif (type is not PyrexTypes.py_object_type
+                      and not type.same_as(other_type)):
+                    error(self.base.pos, "Signature does not agree with previous declaration")
+                    error(type_node.pos, "Previous declaration here")
+                else:
+                    type = other_type
+            if name_declarator.cname:
+                error(self.pos,
+                    "Function argument cannot have C name specification")
+            if i==0 and env.is_c_class_scope and type.is_unspecified:
+                # fix the type of self
+                type = env.parent_type
+            # Turn *[] argument into **
+            if type.is_array:
+                type = PyrexTypes.c_ptr_type(type.base_type)
+            # Catch attempted C-style func(void) decl
+            if type.is_void:
+                error(arg_node.pos, "Use spam() rather than spam(void) to declare a function with no arguments.")
+            func_type_args.append(
+                PyrexTypes.CFuncTypeArg(name, type, arg_node.pos))
+            if arg_node.default:
+                self.optional_arg_count += 1
+            elif self.optional_arg_count:
+                error(self.pos, "Non-default argument follows default argument")
+
+        exc_val = None
+        exc_check = 0
+        if self.exception_check == '+':
+            env.add_include_file('ios')         # for std::ios_base::failure
+            env.add_include_file('new')         # for std::bad_alloc
+            env.add_include_file('stdexcept')
+            env.add_include_file('typeinfo')    # for std::bad_cast
+        if (return_type.is_pyobject
+                and (self.exception_value or self.exception_check)
+                and self.exception_check != '+'):
+            error(self.pos,
+                "Exception clause not allowed for function returning Python object")
+        else:
+            if self.exception_value:
+                self.exception_value = self.exception_value.analyse_const_expression(env)
+                if self.exception_check == '+':
+                    exc_val_type = self.exception_value.type
+                    if (not exc_val_type.is_error
+                            and not exc_val_type.is_pyobject
+                            and not (exc_val_type.is_cfunction
+                                     and not exc_val_type.return_type.is_pyobject
+                                     and not exc_val_type.args)):
+                        error(self.exception_value.pos,
+                              "Exception value must be a Python exception or cdef function with no arguments.")
+                    exc_val = self.exception_value
+                else:
+                    self.exception_value = self.exception_value.coerce_to(
+                        return_type, env).analyse_const_expression(env)
+                    exc_val = self.exception_value.get_constant_c_result_code()
+                    if exc_val is None:
+                        raise InternalError(
+                            "get_constant_c_result_code not implemented for %s" %
+                            self.exception_value.__class__.__name__)
+                    if not return_type.assignable_from(self.exception_value.type):
+                        error(self.exception_value.pos,
+                              "Exception value incompatible with function return type")
+            exc_check = self.exception_check
+        if return_type.is_cfunction:
+            error(self.pos,
+                "Function cannot return a function")
+        func_type = PyrexTypes.CFuncType(
+            return_type, func_type_args, self.has_varargs,
+            optional_arg_count = self.optional_arg_count,
+            exception_value = exc_val, exception_check = exc_check,
+            calling_convention = self.base.calling_convention,
+            nogil = self.nogil, with_gil = self.with_gil, is_overridable = self.overridable,
+            is_const_method = self.is_const_method,
+            templates = self.templates)
+
+        if self.optional_arg_count:
+            if func_type.is_fused:
+                # This is a bit of a hack... When we need to create specialized CFuncTypes
+                # on the fly because the cdef is defined in a pxd, we need to declare the specialized optional arg
+                # struct
+                def declare_opt_arg_struct(func_type, fused_cname):
+                    self.declare_optional_arg_struct(func_type, env, fused_cname)
+
+                func_type.declare_opt_arg_struct = declare_opt_arg_struct
+            else:
+                self.declare_optional_arg_struct(func_type, env)
+
+        callspec = env.directives['callspec']
+        if callspec:
+            current = func_type.calling_convention
+            if current and current != callspec:
+                error(self.pos, "cannot have both '%s' and '%s' "
+                      "calling conventions" % (current, callspec))
+            func_type.calling_convention = callspec
+        return self.base.analyse(func_type, env)
+
+    def declare_optional_arg_struct(self, func_type, env, fused_cname=None):
+        """
+        Declares the optional argument struct (the struct used to hold the
+        values for optional arguments). For fused cdef functions, this is
+        deferred as analyse_declarations is called only once (on the fused
+        cdef function).
+        """
+        scope = StructOrUnionScope()
+        arg_count_member = '%sn' % Naming.pyrex_prefix
+        scope.declare_var(arg_count_member, PyrexTypes.c_int_type, self.pos)
+
+        for arg in func_type.args[len(func_type.args)-self.optional_arg_count:]:
+            scope.declare_var(arg.name, arg.type, arg.pos, allow_pyobject = 1)
+
+        struct_cname = env.mangle(Naming.opt_arg_prefix, self.base.name)
+
+        if fused_cname is not None:
+            struct_cname = PyrexTypes.get_fused_cname(fused_cname, struct_cname)
+
+        op_args_struct = env.global_scope().declare_struct_or_union(
+                name = struct_cname,
+                kind = 'struct',
+                scope = scope,
+                typedef_flag = 0,
+                pos = self.pos,
+                cname = struct_cname)
+
+        op_args_struct.defined_in_pxd = 1
+        op_args_struct.used = 1
+
+        func_type.op_arg_struct = PyrexTypes.c_ptr_type(op_args_struct.type)
+
+
+class CConstDeclaratorNode(CDeclaratorNode):
+    # base     CDeclaratorNode
+
+    child_attrs = ["base"]
+
+    def analyse(self, base_type, env, nonempty = 0):
+        if base_type.is_pyobject:
+            error(self.pos,
+                  "Const base type cannot be a Python object")
+        const = PyrexTypes.c_const_type(base_type)
+        return self.base.analyse(const, env, nonempty = nonempty)
+
+
+class CArgDeclNode(Node):
+    # Item in a function declaration argument list.
+    #
+    # base_type      CBaseTypeNode
+    # declarator     CDeclaratorNode
+    # not_none       boolean            Tagged with 'not None'
+    # or_none        boolean            Tagged with 'or None'
+    # accept_none    boolean            Resolved boolean for not_none/or_none
+    # default        ExprNode or None
+    # default_value  PyObjectConst      constant for default value
+    # annotation     ExprNode or None   Py3 function arg annotation
+    # is_self_arg    boolean            Is the "self" arg of an extension type method
+    # is_type_arg    boolean            Is the "class" arg of an extension type classmethod
+    # is_kw_only     boolean            Is a keyword-only argument
+    # is_dynamic     boolean            Non-literal arg stored inside CyFunction
+
+    child_attrs = ["base_type", "declarator", "default", "annotation"]
+
+    is_self_arg = 0
+    is_type_arg = 0
+    is_generic = 1
+    kw_only = 0
+    not_none = 0
+    or_none = 0
+    type = None
+    name_declarator = None
+    default_value = None
+    annotation = None
+    is_dynamic = 0
+
+    def analyse(self, env, nonempty = 0, is_self_arg = False):
+        if is_self_arg:
+            self.base_type.is_self_arg = self.is_self_arg = True
+        if self.type is None:
+            # The parser may misinterpret names as types. We fix that here.
+            if isinstance(self.declarator, CNameDeclaratorNode) and self.declarator.name == '':
+                if nonempty:
+                    if self.base_type.is_basic_c_type:
+                        # char, short, long called "int"
+                        type = self.base_type.analyse(env, could_be_name = True)
+                        arg_name = type.declaration_code("")
+                    else:
+                        arg_name = self.base_type.name
+                    self.declarator.name = EncodedString(arg_name)
+                    self.base_type.name = None
+                    self.base_type.is_basic_c_type = False
+                could_be_name = True
+            else:
+                could_be_name = False
+            self.base_type.is_arg = True
+            base_type = self.base_type.analyse(env, could_be_name = could_be_name)
+            if hasattr(self.base_type, 'arg_name') and self.base_type.arg_name:
+                self.declarator.name = self.base_type.arg_name
+            # The parser is unable to resolve the ambiguity of [] as part of the
+            # type (e.g. in buffers) or empty declarator (as with arrays).
+            # This is only arises for empty multi-dimensional arrays.
+            if (base_type.is_array
+                    and isinstance(self.base_type, TemplatedTypeNode)
+                    and isinstance(self.declarator, CArrayDeclaratorNode)):
+                declarator = self.declarator
+                while isinstance(declarator.base, CArrayDeclaratorNode):
+                    declarator = declarator.base
+                declarator.base = self.base_type.array_declarator
+                base_type = base_type.base_type
+            return self.declarator.analyse(base_type, env, nonempty = nonempty)
+        else:
+            return self.name_declarator, self.type
+
+    def calculate_default_value_code(self, code):
+        if self.default_value is None:
+            if self.default:
+                if self.default.is_literal:
+                    # will not output any code, just assign the result_code
+                    self.default.generate_evaluation_code(code)
+                    return self.type.cast_code(self.default.result())
+                self.default_value = code.get_argument_default_const(self.type)
+        return self.default_value
+
+    def annotate(self, code):
+        if self.default:
+            self.default.annotate(code)
+
+    def generate_assignment_code(self, code, target=None):
+        default = self.default
+        if default is None or default.is_literal:
+            return
+        if target is None:
+            target = self.calculate_default_value_code(code)
+        default.generate_evaluation_code(code)
+        default.make_owned_reference(code)
+        result = default.result_as(self.type)
+        code.putln("%s = %s;" % (target, result))
+        if self.type.is_pyobject:
+            code.put_giveref(default.result())
+        default.generate_post_assignment_code(code)
+        default.free_temps(code)
+
+
+class CBaseTypeNode(Node):
+    # Abstract base class for C base type nodes.
+    #
+    # Processing during analyse_declarations phase:
+    #
+    #   analyse
+    #     Returns the type.
+
+    pass
+
+    def analyse_as_type(self, env):
+        return self.analyse(env)
+
+class CAnalysedBaseTypeNode(Node):
+    # type            type
+
+    child_attrs = []
+
+    def analyse(self, env, could_be_name = False):
+        return self.type
+
+class CSimpleBaseTypeNode(CBaseTypeNode):
+    # name             string
+    # module_path      [string]     Qualifying name components
+    # is_basic_c_type  boolean
+    # signed           boolean
+    # longness         integer
+    # complex          boolean
+    # is_self_arg      boolean      Is self argument of C method
+    # ##is_type_arg      boolean      Is type argument of class method
+
+    child_attrs = []
+    arg_name = None   # in case the argument name was interpreted as a type
+    module_path = []
+    is_basic_c_type = False
+    complex = False
+
+    def analyse(self, env, could_be_name = False):
+        # Return type descriptor.
+        #print "CSimpleBaseTypeNode.analyse: is_self_arg =", self.is_self_arg ###
+        type = None
+        if self.is_basic_c_type:
+            type = PyrexTypes.simple_c_type(self.signed, self.longness, self.name)
+            if not type:
+                error(self.pos, "Unrecognised type modifier combination")
+        elif self.name == "object" and not self.module_path:
+            type = py_object_type
+        elif self.name is None:
+            if self.is_self_arg and env.is_c_class_scope:
+                #print "CSimpleBaseTypeNode.analyse: defaulting to parent type" ###
+                type = env.parent_type
+            ## elif self.is_type_arg and env.is_c_class_scope:
+            ##     type = Builtin.type_type
+            else:
+                type = py_object_type
+        else:
+            if self.module_path:
+                # Maybe it's a nested C++ class.
+                scope = env
+                for item in self.module_path:
+                    entry = scope.lookup(item)
+                    if entry is not None and entry.is_cpp_class:
+                        scope = entry.type.scope
+                    else:
+                        scope = None
+                        break
+
+                if scope is None:
+                    # Maybe it's a cimport.
+                    scope = env.find_imported_module(self.module_path, self.pos)
+                    if scope:
+                        scope.fused_to_specific = env.fused_to_specific
+            else:
+                scope = env
+
+            if scope:
+                if scope.is_c_class_scope:
+                    scope = scope.global_scope()
+
+                type = scope.lookup_type(self.name)
+                if type is not None:
+                    pass
+                elif could_be_name:
+                    if self.is_self_arg and env.is_c_class_scope:
+                        type = env.parent_type
+                    ## elif self.is_type_arg and env.is_c_class_scope:
+                    ##     type = Builtin.type_type
+                    else:
+                        type = py_object_type
+                    self.arg_name = EncodedString(self.name)
+                else:
+                    if self.templates:
+                        if not self.name in self.templates:
+                            error(self.pos, "'%s' is not a type identifier" % self.name)
+                        type = PyrexTypes.TemplatePlaceholderType(self.name)
+                    else:
+                        error(self.pos, "'%s' is not a type identifier" % self.name)
+        if self.complex:
+            if not type.is_numeric or type.is_complex:
+                error(self.pos, "can only complexify c numeric types")
+            type = PyrexTypes.CComplexType(type)
+            type.create_declaration_utility_code(env)
+        elif type is Builtin.complex_type:
+            # Special case: optimise builtin complex type into C's
+            # double complex.  The parser cannot do this (as for the
+            # normal scalar types) as the user may have redeclared the
+            # 'complex' type.  Testing for the exact type here works.
+            type = PyrexTypes.c_double_complex_type
+            type.create_declaration_utility_code(env)
+            self.complex = True
+        if type:
+            return type
+        else:
+            return PyrexTypes.error_type
+
+class MemoryViewSliceTypeNode(CBaseTypeNode):
+
+    name = 'memoryview'
+    child_attrs = ['base_type_node', 'axes']
+
+    def analyse(self, env, could_be_name = False):
+
+        base_type = self.base_type_node.analyse(env)
+        if base_type.is_error: return base_type
+
+        import MemoryView
+
+        try:
+            axes_specs = MemoryView.get_axes_specs(env, self.axes)
+        except CompileError, e:
+            error(e.position, e.message_only)
+            self.type = PyrexTypes.ErrorType()
+            return self.type
+
+        if not MemoryView.validate_axes(self.pos, axes_specs):
+            self.type = error_type
+        else:
+            MemoryView.validate_memslice_dtype(self.pos, base_type)
+            self.type = PyrexTypes.MemoryViewSliceType(base_type, axes_specs)
+            self.use_memview_utilities(env)
+
+        return self.type
+
+    def use_memview_utilities(self, env):
+        import MemoryView
+        env.use_utility_code(MemoryView.view_utility_code)
+
+
+class CNestedBaseTypeNode(CBaseTypeNode):
+    # For C++ classes that live inside other C++ classes.
+
+    # name             string
+    # base_type        CBaseTypeNode
+
+    child_attrs = ['base_type']
+
+    def analyse(self, env, could_be_name = None):
+        base_type = self.base_type.analyse(env)
+        if base_type is PyrexTypes.error_type:
+            return PyrexTypes.error_type
+        if not base_type.is_cpp_class:
+            error(self.pos, "'%s' is not a valid type scope" % base_type)
+            return PyrexTypes.error_type
+        type_entry = base_type.scope.lookup_here(self.name)
+        if not type_entry or not type_entry.is_type:
+            error(self.pos, "'%s.%s' is not a type identifier" % (base_type, self.name))
+            return PyrexTypes.error_type
+        return type_entry.type
+
+
+class TemplatedTypeNode(CBaseTypeNode):
+    #  After parsing:
+    #  positional_args  [ExprNode]        List of positional arguments
+    #  keyword_args     DictNode          Keyword arguments
+    #  base_type_node   CBaseTypeNode
+
+    #  After analysis:
+    #  type             PyrexTypes.BufferType or PyrexTypes.CppClassType  ...containing the right options
+
+    child_attrs = ["base_type_node", "positional_args",
+                   "keyword_args", "dtype_node"]
+
+    dtype_node = None
+
+    name = None
+
+    def analyse(self, env, could_be_name = False, base_type = None):
+        if base_type is None:
+            base_type = self.base_type_node.analyse(env)
+        if base_type.is_error: return base_type
+
+        if base_type.is_cpp_class:
+            # Templated class
+            if self.keyword_args and self.keyword_args.key_value_pairs:
+                error(self.pos, "c++ templates cannot take keyword arguments")
+                self.type = PyrexTypes.error_type
+            else:
+                template_types = []
+                for template_node in self.positional_args:
+                    type = template_node.analyse_as_type(env)
+                    if type is None:
+                        error(template_node.pos, "unknown type in template argument")
+                        return error_type
+                    template_types.append(type)
+                self.type = base_type.specialize_here(self.pos, template_types)
+
+        elif base_type.is_pyobject:
+            # Buffer
+            import Buffer
+
+            options = Buffer.analyse_buffer_options(
+                self.pos,
+                env,
+                self.positional_args,
+                self.keyword_args,
+                base_type.buffer_defaults)
+
+            if sys.version_info[0] < 3:
+                # Py 2.x enforces byte strings as keyword arguments ...
+                options = dict([ (name.encode('ASCII'), value)
+                                 for name, value in options.items() ])
+
+            self.type = PyrexTypes.BufferType(base_type, **options)
+
+        else:
+            # Array
+            empty_declarator = CNameDeclaratorNode(self.pos, name="", cname=None)
+            if len(self.positional_args) > 1 or self.keyword_args.key_value_pairs:
+                error(self.pos, "invalid array declaration")
+                self.type = PyrexTypes.error_type
+            else:
+                # It would be nice to merge this class with CArrayDeclaratorNode,
+                # but arrays are part of the declaration, not the type...
+                if not self.positional_args:
+                    dimension = None
+                else:
+                    dimension = self.positional_args[0]
+                self.array_declarator = CArrayDeclaratorNode(self.pos,
+                    base = empty_declarator,
+                    dimension = dimension)
+                self.type = self.array_declarator.analyse(base_type, env)[1]
+
+        if self.type.is_fused and env.fused_to_specific:
+            self.type = self.type.specialize(env.fused_to_specific)
+
+        return self.type
+
+class CComplexBaseTypeNode(CBaseTypeNode):
+    # base_type   CBaseTypeNode
+    # declarator  CDeclaratorNode
+
+    child_attrs = ["base_type", "declarator"]
+
+    def analyse(self, env, could_be_name = False):
+        base = self.base_type.analyse(env, could_be_name)
+        _, type = self.declarator.analyse(base, env)
+        return type
+
+
+class FusedTypeNode(CBaseTypeNode):
+    """
+    Represents a fused type in a ctypedef statement:
+
+        ctypedef cython.fused_type(int, long, long long) integral
+
+    name            str                     name of this fused type
+    types           [CSimpleBaseTypeNode]   is the list of types to be fused
+    """
+
+    child_attrs = []
+
+    def analyse_declarations(self, env):
+        type = self.analyse(env)
+        entry = env.declare_typedef(self.name, type, self.pos)
+
+        # Omit the typedef declaration that self.declarator would produce
+        entry.in_cinclude = True
+
+    def analyse(self, env):
+        types = []
+        for type_node in self.types:
+            type = type_node.analyse_as_type(env)
+
+            if not type:
+                error(type_node.pos, "Not a type")
+                continue
+
+            if type in types:
+                error(type_node.pos, "Type specified multiple times")
+            elif type.is_fused:
+                error(type_node.pos, "Cannot fuse a fused type")
+            else:
+                types.append(type)
+
+        # if len(self.types) == 1:
+        #     return types[0]
+
+        return PyrexTypes.FusedType(types, name=self.name)
+
+
+class CConstTypeNode(CBaseTypeNode):
+    # base_type     CBaseTypeNode
+
+    child_attrs = ["base_type"]
+
+    def analyse(self, env, could_be_name = False):
+        base = self.base_type.analyse(env, could_be_name)
+        if base.is_pyobject:
+            error(self.pos,
+                  "Const base type cannot be a Python object")
+        return PyrexTypes.c_const_type(base)
+
+
+class CVarDefNode(StatNode):
+    #  C variable definition or forward/extern function declaration.
+    #
+    #  visibility    'private' or 'public' or 'extern'
+    #  base_type     CBaseTypeNode
+    #  declarators   [CDeclaratorNode]
+    #  in_pxd        boolean
+    #  api           boolean
+    #  overridable   boolean        whether it is a cpdef
+    #  modifiers     ['inline']
+
+    #  decorators    [cython.locals(...)] or None
+    #  directive_locals { string : NameNode } locals defined by cython.locals(...)
+
+    child_attrs = ["base_type", "declarators"]
+
+    decorators = None
+    directive_locals = None
+
+    def analyse_declarations(self, env, dest_scope = None):
+        if self.directive_locals is None:
+            self.directive_locals = {}
+        if not dest_scope:
+            dest_scope = env
+        self.dest_scope = dest_scope
+
+        if self.declarators:
+            templates = self.declarators[0].analyse_templates()
+        else:
+            templates = None
+        if templates is not None:
+            if self.visibility != 'extern':
+                error(self.pos, "Only extern functions allowed")
+            if len(self.declarators) > 1:
+                error(self.declarators[1].pos, "Can't multiply declare template types")
+            env = TemplateScope('func_template', env)
+            env.directives = env.outer_scope.directives
+            for template_param in templates:
+                env.declare_type(template_param.name, template_param, self.pos)
+
+        base_type = self.base_type.analyse(env)
+
+        if base_type.is_fused and not self.in_pxd and (env.is_c_class_scope or
+                                                       env.is_module_scope):
+            error(self.pos, "Fused types not allowed here")
+            return error_type
+
+        self.entry = None
+        visibility = self.visibility
+
+        for declarator in self.declarators:
+
+            if (len(self.declarators) > 1
+                and not isinstance(declarator, CNameDeclaratorNode)
+                and env.directives['warn.multiple_declarators']):
+                warning(declarator.pos,
+                    "Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). " +
+                    "Each pointer declaration should be on its own line.", 1)
+
+            if isinstance(declarator, CFuncDeclaratorNode):
+                name_declarator, type = declarator.analyse(base_type, env, directive_locals=self.directive_locals)
+            else:
+                name_declarator, type = declarator.analyse(base_type, env)
+            if not type.is_complete():
+                if not (self.visibility == 'extern' and type.is_array or type.is_memoryviewslice):
+                    error(declarator.pos,
+                        "Variable type '%s' is incomplete" % type)
+            if self.visibility == 'extern' and type.is_pyobject:
+                error(declarator.pos,
+                    "Python object cannot be declared extern")
+            name = name_declarator.name
+            cname = name_declarator.cname
+            if name == '':
+                error(declarator.pos, "Missing name in declaration.")
+                return
+            if type.is_cfunction:
+                self.entry = dest_scope.declare_cfunction(name, type, declarator.pos,
+                    cname = cname, visibility = self.visibility, in_pxd = self.in_pxd,
+                    api = self.api, modifiers = self.modifiers)
+                if self.entry is not None:
+                    self.entry.is_overridable = self.overridable
+                    self.entry.directive_locals = copy.copy(self.directive_locals)
+            else:
+                if self.directive_locals:
+                    error(self.pos, "Decorators can only be followed by functions")
+                self.entry = dest_scope.declare_var(name, type, declarator.pos,
+                            cname=cname, visibility=visibility, in_pxd=self.in_pxd,
+                            api=self.api, is_cdef=1)
+                if Options.docstrings:
+                    self.entry.doc = embed_position(self.pos, self.doc)
+
+
+class CStructOrUnionDefNode(StatNode):
+    #  name          string
+    #  cname         string or None
+    #  kind          "struct" or "union"
+    #  typedef_flag  boolean
+    #  visibility    "public" or "private"
+    #  api           boolean
+    #  in_pxd        boolean
+    #  attributes    [CVarDefNode] or None
+    #  entry         Entry
+    #  packed        boolean
+
+    child_attrs = ["attributes"]
+
+    def declare(self, env, scope=None):
+        if self.visibility == 'extern' and self.packed and not scope:
+            error(self.pos, "Cannot declare extern struct as 'packed'")
+        self.entry = env.declare_struct_or_union(
+            self.name, self.kind, scope, self.typedef_flag, self.pos,
+            self.cname, visibility = self.visibility, api = self.api,
+            packed = self.packed)
+
+    def analyse_declarations(self, env):
+        scope = None
+        if self.attributes is not None:
+            scope = StructOrUnionScope(self.name)
+        self.declare(env, scope)
+        if self.attributes is not None:
+            if self.in_pxd and not env.in_cinclude:
+                self.entry.defined_in_pxd = 1
+            for attr in self.attributes:
+                attr.analyse_declarations(env, scope)
+            if self.visibility != 'extern':
+                for attr in scope.var_entries:
+                    type = attr.type
+                    while type.is_array:
+                        type = type.base_type
+                    if type == self.entry.type:
+                        error(attr.pos, "Struct cannot contain itself as a member.")
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class CppClassNode(CStructOrUnionDefNode, BlockNode):
+
+    #  name          string
+    #  cname         string or None
+    #  visibility    "extern"
+    #  in_pxd        boolean
+    #  attributes    [CVarDefNode] or None
+    #  entry         Entry
+    #  base_classes  [CBaseTypeNode]
+    #  templates     [string] or None
+
+    def declare(self, env):
+        if self.templates is None:
+            template_types = None
+        else:
+            template_types = [PyrexTypes.TemplatePlaceholderType(template_name) for template_name in self.templates]
+        self.entry = env.declare_cpp_class(
+            self.name, None, self.pos,
+            self.cname, base_classes = [], visibility = self.visibility, templates = template_types)
+
+    def analyse_declarations(self, env):
+        scope = None
+        if self.attributes is not None:
+            scope = CppClassScope(self.name, env, templates = self.templates)
+        def base_ok(base_class):
+            if base_class.is_cpp_class or base_class.is_struct:
+                return True
+            else:
+                error(self.pos, "Base class '%s' not a struct or class." % base_class)
+        base_class_types = filter(base_ok, [b.analyse(scope or env) for b in self.base_classes])
+        if self.templates is None:
+            template_types = None
+        else:
+            template_types = [PyrexTypes.TemplatePlaceholderType(template_name) for template_name in self.templates]
+        self.entry = env.declare_cpp_class(
+            self.name, scope, self.pos,
+            self.cname, base_class_types, visibility = self.visibility, templates = template_types)
+        if self.entry is None:
+            return
+        self.entry.is_cpp_class = 1
+        if scope is not None:
+            scope.type = self.entry.type
+        defined_funcs = []
+        if self.attributes is not None:
+            if self.in_pxd and not env.in_cinclude:
+                self.entry.defined_in_pxd = 1
+            for attr in self.attributes:
+                attr.analyse_declarations(scope)
+                if isinstance(attr, CFuncDefNode):
+                    defined_funcs.append(attr)
+                    if self.templates is not None:
+                        attr.template_declaration = "template <typename %s>" % ", typename ".join(self.templates)
+        self.body = StatListNode(self.pos, stats=defined_funcs)
+        self.scope = scope
+
+    def analyse_expressions(self, env):
+        self.body = self.body.analyse_expressions(self.entry.type.scope)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        self.body.generate_function_definitions(self.entry.type.scope, code)
+
+    def generate_execution_code(self, code):
+        self.body.generate_execution_code(code)
+
+    def annotate(self, code):
+        self.body.annotate(code)
+
+
+class CEnumDefNode(StatNode):
+    #  name           string or None
+    #  cname          string or None
+    #  items          [CEnumDefItemNode]
+    #  typedef_flag   boolean
+    #  visibility     "public" or "private"
+    #  api            boolean
+    #  in_pxd         boolean
+    #  entry          Entry
+
+    child_attrs = ["items"]
+
+    def declare(self, env):
+         self.entry = env.declare_enum(self.name, self.pos,
+             cname = self.cname, typedef_flag = self.typedef_flag,
+             visibility = self.visibility, api = self.api)
+
+    def analyse_declarations(self, env):
+        if self.items is not None:
+            if self.in_pxd and not env.in_cinclude:
+                self.entry.defined_in_pxd = 1
+            for item in self.items:
+                item.analyse_declarations(env, self.entry)
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        if self.visibility == 'public' or self.api:
+            temp = code.funcstate.allocate_temp(PyrexTypes.py_object_type, manage_ref=True)
+            for item in self.entry.enum_values:
+                code.putln("%s = PyInt_FromLong(%s); %s" % (
+                        temp,
+                        item.cname,
+                        code.error_goto_if_null(temp, item.pos)))
+                code.put_gotref(temp)
+                code.putln('if (PyDict_SetItemString(%s, "%s", %s) < 0) %s' % (
+                        Naming.moddict_cname,
+                        item.name,
+                        temp,
+                        code.error_goto(item.pos)))
+                code.put_decref_clear(temp, PyrexTypes.py_object_type)
+            code.funcstate.release_temp(temp)
+
+
+class CEnumDefItemNode(StatNode):
+    #  name     string
+    #  cname    string or None
+    #  value    ExprNode or None
+
+    child_attrs = ["value"]
+
+    def analyse_declarations(self, env, enum_entry):
+        if self.value:
+            self.value = self.value.analyse_const_expression(env)
+            if not self.value.type.is_int:
+                self.value = self.value.coerce_to(PyrexTypes.c_int_type, env)
+                self.value = self.value.analyse_const_expression(env)
+        entry = env.declare_const(self.name, enum_entry.type,
+            self.value, self.pos, cname = self.cname,
+            visibility = enum_entry.visibility, api = enum_entry.api)
+        enum_entry.enum_values.append(entry)
+
+
+class CTypeDefNode(StatNode):
+    #  base_type    CBaseTypeNode
+    #  declarator   CDeclaratorNode
+    #  visibility   "public" or "private"
+    #  api          boolean
+    #  in_pxd       boolean
+
+    child_attrs = ["base_type", "declarator"]
+
+    def analyse_declarations(self, env):
+        base = self.base_type.analyse(env)
+        name_declarator, type = self.declarator.analyse(base, env)
+        name = name_declarator.name
+        cname = name_declarator.cname
+
+        entry = env.declare_typedef(name, type, self.pos,
+            cname = cname, visibility = self.visibility, api = self.api)
+
+        if type.is_fused:
+            entry.in_cinclude = True
+
+        if self.in_pxd and not env.in_cinclude:
+            entry.defined_in_pxd = 1
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class FuncDefNode(StatNode, BlockNode):
+    #  Base class for function definition nodes.
+    #
+    #  return_type     PyrexType
+    #  #filename        string        C name of filename string const
+    #  entry           Symtab.Entry
+    #  needs_closure   boolean        Whether or not this function has inner functions/classes/yield
+    #  needs_outer_scope boolean      Whether or not this function requires outer scope
+    #  pymethdef_required boolean     Force Python method struct generation
+    #  directive_locals { string : ExprNode } locals defined by cython.locals(...)
+    #  directive_returns [ExprNode] type defined by cython.returns(...)
+    # star_arg      PyArgDeclNode or None  * argument
+    # starstar_arg  PyArgDeclNode or None  ** argument
+
+    #  has_fused_arguments  boolean
+    #       Whether this cdef function has fused parameters. This is needed
+    #       by AnalyseDeclarationsTransform, so it can replace CFuncDefNodes
+    #       with fused argument types with a FusedCFuncDefNode
+
+    py_func = None
+    needs_closure = False
+    needs_outer_scope = False
+    pymethdef_required = False
+    is_generator = False
+    is_generator_body = False
+    modifiers = []
+    has_fused_arguments = False
+    star_arg = None
+    starstar_arg = None
+    is_cyfunction = False
+
+    def analyse_default_values(self, env):
+        default_seen = 0
+        for arg in self.args:
+            if arg.default:
+                default_seen = 1
+                if arg.is_generic:
+                    arg.default = arg.default.analyse_types(env)
+                    arg.default = arg.default.coerce_to(arg.type, env)
+                else:
+                    error(arg.pos,
+                        "This argument cannot have a default value")
+                    arg.default = None
+            elif arg.kw_only:
+                default_seen = 1
+            elif default_seen:
+                error(arg.pos, "Non-default argument following default argument")
+
+    def align_argument_type(self, env, arg):
+        directive_locals = self.directive_locals
+        type = arg.type
+        if arg.name in directive_locals:
+            type_node = directive_locals[arg.name]
+            other_type = type_node.analyse_as_type(env)
+            if other_type is None:
+                error(type_node.pos, "Not a type")
+            elif (type is not PyrexTypes.py_object_type
+                    and not type.same_as(other_type)):
+                error(arg.base_type.pos, "Signature does not agree with previous declaration")
+                error(type_node.pos, "Previous declaration here")
+            else:
+                arg.type = other_type
+        return arg
+
+    def need_gil_acquisition(self, lenv):
+        return 0
+
+    def create_local_scope(self, env):
+        genv = env
+        while genv.is_py_class_scope or genv.is_c_class_scope:
+            genv = genv.outer_scope
+        if self.needs_closure:
+            lenv = ClosureScope(name=self.entry.name,
+                                outer_scope = genv,
+                                parent_scope = env,
+                                scope_name=self.entry.cname)
+        else:
+            lenv = LocalScope(name=self.entry.name,
+                              outer_scope=genv,
+                              parent_scope=env)
+        lenv.return_type = self.return_type
+        type = self.entry.type
+        if type.is_cfunction:
+            lenv.nogil = type.nogil and not type.with_gil
+        self.local_scope = lenv
+        lenv.directives = env.directives
+        return lenv
+
+    def generate_function_body(self, env, code):
+        self.body.generate_execution_code(code)
+
+    def generate_function_definitions(self, env, code):
+        import Buffer
+        if self.return_type.is_memoryviewslice:
+            import MemoryView
+
+        lenv = self.local_scope
+        if lenv.is_closure_scope and not lenv.is_passthrough:
+            outer_scope_cname = "%s->%s" % (Naming.cur_scope_cname,
+                                            Naming.outer_scope_cname)
+        else:
+            outer_scope_cname = Naming.outer_scope_cname
+        lenv.mangle_closure_cnames(outer_scope_cname)
+        # Generate closure function definitions
+        self.body.generate_function_definitions(lenv, code)
+        # generate lambda function definitions
+        self.generate_lambda_definitions(lenv, code)
+
+        is_getbuffer_slot = (self.entry.name == "__getbuffer__" and
+                             self.entry.scope.is_c_class_scope)
+        is_releasebuffer_slot = (self.entry.name == "__releasebuffer__" and
+                                 self.entry.scope.is_c_class_scope)
+        is_buffer_slot = is_getbuffer_slot or is_releasebuffer_slot
+        if is_buffer_slot:
+            if 'cython_unused' not in self.modifiers:
+                self.modifiers = self.modifiers + ['cython_unused']
+
+        preprocessor_guard = self.get_preprocessor_guard()
+
+        profile = code.globalstate.directives['profile']
+        linetrace = code.globalstate.directives['linetrace']
+        if (linetrace or profile) and lenv.nogil:
+            warning(self.pos, "Cannot profile nogil function.", 1)
+            profile = linetrace = False
+        if profile or linetrace:
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("Profile", "Profile.c"))
+
+        # Generate C code for header and body of function
+        code.enter_cfunc_scope()
+        code.return_from_error_cleanup_label = code.new_label()
+
+        # ----- Top-level constants used by this function
+        code.mark_pos(self.pos)
+        self.generate_cached_builtins_decls(lenv, code)
+        # ----- Function header
+        code.putln("")
+
+        if preprocessor_guard:
+            code.putln(preprocessor_guard)
+
+        with_pymethdef = (self.needs_assignment_synthesis(env, code) or
+                          self.pymethdef_required)
+        if self.py_func:
+            self.py_func.generate_function_header(code,
+                with_pymethdef = with_pymethdef,
+                proto_only=True)
+        self.generate_function_header(code,
+            with_pymethdef = with_pymethdef)
+        # ----- Local variable declarations
+        # Find function scope
+        cenv = env
+        while cenv.is_py_class_scope or cenv.is_c_class_scope:
+            cenv = cenv.outer_scope
+        if self.needs_closure:
+            code.put(lenv.scope_class.type.declaration_code(Naming.cur_scope_cname))
+            code.putln(";")
+        elif self.needs_outer_scope:
+            if lenv.is_passthrough:
+                code.put(lenv.scope_class.type.declaration_code(Naming.cur_scope_cname))
+                code.putln(";")
+            code.put(cenv.scope_class.type.declaration_code(Naming.outer_scope_cname))
+            code.putln(";")
+        self.generate_argument_declarations(lenv, code)
+
+        for entry in lenv.var_entries:
+            if not (entry.in_closure or entry.is_arg):
+                code.put_var_declaration(entry)
+
+        # Initialize the return variable __pyx_r
+        init = ""
+        if not self.return_type.is_void:
+            if self.return_type.is_pyobject:
+                init = " = NULL"
+            elif self.return_type.is_memoryviewslice:
+                init = ' = ' + MemoryView.memslice_entry_init
+
+            code.putln(
+                "%s%s;" %
+                    (self.return_type.declaration_code(Naming.retval_cname),
+                     init))
+
+        tempvardecl_code = code.insertion_point()
+        self.generate_keyword_list(code)
+
+        if profile or linetrace:
+            code.put_trace_declarations()
+
+        # ----- Extern library function declarations
+        lenv.generate_library_function_declarations(code)
+
+        # ----- GIL acquisition
+        acquire_gil = self.acquire_gil
+
+        # See if we need to acquire the GIL for variable declarations, or for
+        # refnanny only
+
+        # Profiling or closures are not currently possible for cdef nogil
+        # functions, but check them anyway
+        have_object_args = (self.needs_closure or self.needs_outer_scope or
+                            profile or linetrace)
+        for arg in lenv.arg_entries:
+            if arg.type.is_pyobject:
+                have_object_args = True
+                break
+
+        acquire_gil_for_var_decls_only = (
+                lenv.nogil and lenv.has_with_gil_block and
+                (have_object_args or lenv.buffer_entries))
+
+        acquire_gil_for_refnanny_only = (
+                lenv.nogil and lenv.has_with_gil_block and not
+                acquire_gil_for_var_decls_only)
+
+        use_refnanny = not lenv.nogil or lenv.has_with_gil_block
+
+        if acquire_gil or acquire_gil_for_var_decls_only:
+            code.put_ensure_gil()
+        elif lenv.nogil and lenv.has_with_gil_block:
+            code.declare_gilstate()
+
+        # ----- set up refnanny
+        if use_refnanny:
+            tempvardecl_code.put_declare_refcount_context()
+            code.put_setup_refcount_context(
+                self.entry.name, acquire_gil=acquire_gil_for_refnanny_only)
+
+        # ----- Automatic lead-ins for certain special functions
+        if is_getbuffer_slot:
+            self.getbuffer_init(code)
+        # ----- Create closure scope object
+        if self.needs_closure:
+            tp_slot = TypeSlots.ConstructorSlot("tp_new", '__new__')
+            slot_func_cname = TypeSlots.get_slot_function(lenv.scope_class.type.scope, tp_slot)
+            if not slot_func_cname:
+                slot_func_cname = '%s->tp_new' % lenv.scope_class.type.typeptr_cname
+            code.putln("%s = (%s)%s(%s, %s, NULL);" % (
+                Naming.cur_scope_cname,
+                lenv.scope_class.type.declaration_code(''),
+                slot_func_cname,
+                lenv.scope_class.type.typeptr_cname,
+                Naming.empty_tuple))
+            code.putln("if (unlikely(!%s)) {" % Naming.cur_scope_cname)
+            if is_getbuffer_slot:
+                self.getbuffer_error_cleanup(code)
+
+            if use_refnanny:
+                code.put_finish_refcount_context()
+                if acquire_gil or acquire_gil_for_var_decls_only:
+                    code.put_release_ensured_gil()
+
+            # FIXME: what if the error return value is a Python value?
+            code.putln("return %s;" % self.error_value())
+            code.putln("}")
+            code.put_gotref(Naming.cur_scope_cname)
+            # Note that it is unsafe to decref the scope at this point.
+        if self.needs_outer_scope:
+            if self.is_cyfunction:
+                code.putln("%s = (%s) __Pyx_CyFunction_GetClosure(%s);" % (
+                    outer_scope_cname,
+                    cenv.scope_class.type.declaration_code(''),
+                    Naming.self_cname))
+            else:
+                code.putln("%s = (%s) %s;" % (
+                    outer_scope_cname,
+                    cenv.scope_class.type.declaration_code(''),
+                    Naming.self_cname))
+            if lenv.is_passthrough:
+                code.putln("%s = %s;" % (Naming.cur_scope_cname, outer_scope_cname))
+            elif self.needs_closure:
+                # inner closures own a reference to their outer parent
+                code.put_incref(outer_scope_cname, cenv.scope_class.type)
+                code.put_giveref(outer_scope_cname)
+        # ----- Trace function call
+        if profile or linetrace:
+            # this looks a bit late, but if we don't get here due to a
+            # fatal error before hand, it's not really worth tracing
+            code.put_trace_call(self.entry.name, self.pos)
+            code.funcstate.can_trace = True
+        # ----- Fetch arguments
+        self.generate_argument_parsing_code(env, code)
+        # If an argument is assigned to in the body, we must
+        # incref it to properly keep track of refcounts.
+        is_cdef = isinstance(self, CFuncDefNode)
+        for entry in lenv.arg_entries:
+            if entry.type.is_pyobject:
+                if ((acquire_gil or len(entry.cf_assignments) > 1) and
+                    not entry.in_closure):
+                    code.put_var_incref(entry)
+
+            # Note: defaults are always incref-ed. For def functions, we
+            #       we aquire arguments from object converstion, so we have
+            #       new references. If we are a cdef function, we need to
+            #       incref our arguments
+            elif (is_cdef and entry.type.is_memoryviewslice and
+                  len(entry.cf_assignments) > 1):
+                code.put_incref_memoryviewslice(entry.cname,
+                                                have_gil=not lenv.nogil)
+        for entry in lenv.var_entries:
+            if entry.is_arg and len(entry.cf_assignments) > 1:
+                code.put_var_incref(entry)
+
+        # ----- Initialise local buffer auxiliary variables
+        for entry in lenv.var_entries + lenv.arg_entries:
+            if entry.type.is_buffer and entry.buffer_aux.buflocal_nd_var.used:
+                Buffer.put_init_vars(entry, code)
+
+        # ----- Check and convert arguments
+        self.generate_argument_type_tests(code)
+        # ----- Acquire buffer arguments
+        for entry in lenv.arg_entries:
+            if entry.type.is_buffer:
+                Buffer.put_acquire_arg_buffer(entry, code, self.pos)
+
+        if acquire_gil_for_var_decls_only:
+            code.put_release_ensured_gil()
+
+        # -------------------------
+        # ----- Function body -----
+        # -------------------------
+        self.generate_function_body(env, code)
+
+        code.mark_pos(self.pos)
+        code.putln("")
+        code.putln("/* function exit code */")
+
+        # ----- Default return value
+        if not self.body.is_terminator:
+            if self.return_type.is_pyobject:
+                #if self.return_type.is_extension_type:
+                #    lhs = "(PyObject *)%s" % Naming.retval_cname
+                #else:
+                lhs = Naming.retval_cname
+                code.put_init_to_py_none(lhs, self.return_type)
+            else:
+                val = self.return_type.default_value
+                if val:
+                    code.putln("%s = %s;" % (Naming.retval_cname, val))
+        # ----- Error cleanup
+        if code.error_label in code.labels_used:
+            if not self.body.is_terminator:
+                code.put_goto(code.return_label)
+            code.put_label(code.error_label)
+            for cname, type in code.funcstate.all_managed_temps():
+                code.put_xdecref(cname, type, have_gil=not lenv.nogil)
+
+            # Clean up buffers -- this calls a Python function
+            # so need to save and restore error state
+            buffers_present = len(lenv.buffer_entries) > 0
+            memslice_entries = [e for e in lenv.entries.itervalues()
+                                      if e.type.is_memoryviewslice]
+            if buffers_present:
+                code.globalstate.use_utility_code(restore_exception_utility_code)
+                code.putln("{ PyObject *__pyx_type, *__pyx_value, *__pyx_tb;")
+                code.putln("__Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);")
+                for entry in lenv.buffer_entries:
+                    Buffer.put_release_buffer_code(code, entry)
+                    #code.putln("%s = 0;" % entry.cname)
+                code.putln("__Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}")
+
+            if self.return_type.is_memoryviewslice:
+                MemoryView.put_init_entry(Naming.retval_cname, code)
+                err_val = Naming.retval_cname
+            else:
+                err_val = self.error_value()
+
+            exc_check = self.caller_will_check_exceptions()
+            if err_val is not None or exc_check:
+                # TODO: Fix exception tracing (though currently unused by cProfile).
+                # code.globalstate.use_utility_code(get_exception_tuple_utility_code)
+                # code.put_trace_exception()
+
+                if lenv.nogil and not lenv.has_with_gil_block:
+                    code.putln("{")
+                    code.put_ensure_gil()
+
+                code.put_add_traceback(self.entry.qualified_name)
+
+                if lenv.nogil and not lenv.has_with_gil_block:
+                    code.put_release_ensured_gil()
+                    code.putln("}")
+            else:
+                warning(self.entry.pos,
+                        "Unraisable exception in function '%s'." %
+                        self.entry.qualified_name, 0)
+                code.put_unraisable(self.entry.qualified_name)
+            default_retval = self.return_type.default_value
+            if err_val is None and default_retval:
+                err_val = default_retval
+            if err_val is not None:
+                code.putln("%s = %s;" % (Naming.retval_cname, err_val))
+
+            if is_getbuffer_slot:
+                self.getbuffer_error_cleanup(code)
+
+            # If we are using the non-error cleanup section we should
+            # jump past it if we have an error. The if-test below determine
+            # whether this section is used.
+            if buffers_present or is_getbuffer_slot or self.return_type.is_memoryviewslice:
+                code.put_goto(code.return_from_error_cleanup_label)
+
+        # ----- Non-error return cleanup
+        code.put_label(code.return_label)
+        for entry in lenv.buffer_entries:
+            if entry.used:
+                Buffer.put_release_buffer_code(code, entry)
+        if is_getbuffer_slot:
+            self.getbuffer_normal_cleanup(code)
+
+        if self.return_type.is_memoryviewslice:
+            # See if our return value is uninitialized on non-error return
+            # import MemoryView
+            # MemoryView.err_if_nogil_initialized_check(self.pos, env)
+            cond = code.unlikely(self.return_type.error_condition(
+                                                    Naming.retval_cname))
+            code.putln(
+                'if (%s) {' % cond)
+            if env.nogil:
+                code.put_ensure_gil()
+            code.putln(
+                    'PyErr_SetString('
+                        'PyExc_TypeError,'
+                        '"Memoryview return value is not initialized");')
+            if env.nogil:
+                code.put_release_ensured_gil()
+            code.putln(
+                '}')
+
+        # ----- Return cleanup for both error and no-error return
+        code.put_label(code.return_from_error_cleanup_label)
+
+        for entry in lenv.var_entries:
+            if not entry.used or entry.in_closure:
+                continue
+
+            if entry.type.is_memoryviewslice:
+                code.put_xdecref_memoryviewslice(entry.cname,
+                                                 have_gil=not lenv.nogil)
+            elif entry.type.is_pyobject:
+                if not entry.is_arg or len(entry.cf_assignments) > 1:
+                    code.put_var_decref(entry)
+
+        # Decref any increfed args
+        for entry in lenv.arg_entries:
+            if entry.type.is_pyobject:
+                if ((acquire_gil or len(entry.cf_assignments) > 1) and
+                    not entry.in_closure):
+                    code.put_var_decref(entry)
+            elif (entry.type.is_memoryviewslice and
+                  (not is_cdef or len(entry.cf_assignments) > 1)):
+                # decref slices of def functions and acquired slices from cdef
+                # functions, but not borrowed slices from cdef functions.
+                code.put_xdecref_memoryviewslice(entry.cname,
+                                                 have_gil=not lenv.nogil)
+        if self.needs_closure:
+            code.put_decref(Naming.cur_scope_cname, lenv.scope_class.type)
+
+        # ----- Return
+        # This code is duplicated in ModuleNode.generate_module_init_func
+        if not lenv.nogil:
+            default_retval = self.return_type.default_value
+            err_val = self.error_value()
+            if err_val is None and default_retval:
+                err_val = default_retval  # FIXME: why is err_val not used?
+            if self.return_type.is_pyobject:
+                code.put_xgiveref(self.return_type.as_pyobject(Naming.retval_cname))
+
+        if self.entry.is_special and self.entry.name == "__hash__":
+            # Returning -1 for __hash__ is supposed to signal an error
+            # We do as Python instances and coerce -1 into -2.
+            code.putln("if (unlikely(%s == -1) && !PyErr_Occurred()) %s = -2;" % (
+                    Naming.retval_cname, Naming.retval_cname))
+
+        if profile or linetrace:
+            code.funcstate.can_trace = False
+            if self.return_type.is_pyobject:
+                code.put_trace_return(Naming.retval_cname)
+            else:
+                code.put_trace_return("Py_None")
+
+        if not lenv.nogil:
+            # GIL holding function
+            code.put_finish_refcount_context()
+
+        if acquire_gil or (lenv.nogil and lenv.has_with_gil_block):
+            # release the GIL (note that with-gil blocks acquire it on exit in their EnsureGILNode)
+            code.put_release_ensured_gil()
+
+        if not self.return_type.is_void:
+            code.putln("return %s;" % Naming.retval_cname)
+
+        code.putln("}")
+
+        if preprocessor_guard:
+            code.putln("#endif /*!(%s)*/" % preprocessor_guard)
+
+        # ----- Go back and insert temp variable declarations
+        tempvardecl_code.put_temp_declarations(code.funcstate)
+
+        # ----- Python version
+        code.exit_cfunc_scope()
+        if self.py_func:
+            self.py_func.generate_function_definitions(env, code)
+        self.generate_wrapper_functions(code)
+
+    def declare_argument(self, env, arg):
+        if arg.type.is_void:
+            error(arg.pos, "Invalid use of 'void'")
+        elif not arg.type.is_complete() and not (arg.type.is_array or arg.type.is_memoryviewslice):
+            error(arg.pos,
+                "Argument type '%s' is incomplete" % arg.type)
+        return env.declare_arg(arg.name, arg.type, arg.pos)
+
+    def generate_arg_type_test(self, arg, code):
+        # Generate type test for one argument.
+        if arg.type.typeobj_is_available():
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("ArgTypeTest", "FunctionArguments.c"))
+            typeptr_cname = arg.type.typeptr_cname
+            arg_code = "((PyObject *)%s)" % arg.entry.cname
+            code.putln(
+                'if (unlikely(!__Pyx_ArgTypeTest(%s, %s, %d, "%s", %s))) %s' % (
+                    arg_code,
+                    typeptr_cname,
+                    arg.accept_none,
+                    arg.name,
+                    arg.type.is_builtin_type,
+                    code.error_goto(arg.pos)))
+        else:
+            error(arg.pos, "Cannot test type of extern C class "
+                "without type object name specification")
+
+    def generate_arg_none_check(self, arg, code):
+        # Generate None check for one argument.
+        if arg.type.is_memoryviewslice:
+            cname = "%s.memview" % arg.entry.cname
+        else:
+            cname = arg.entry.cname
+
+        code.putln('if (unlikely(((PyObject *)%s) == Py_None)) {' % cname)
+        code.putln('''PyErr_Format(PyExc_TypeError, "Argument '%%.%ds' must not be None", "%s"); %s''' % (
+            max(200, len(arg.name)), arg.name,
+            code.error_goto(arg.pos)))
+        code.putln('}')
+
+    def generate_wrapper_functions(self, code):
+        pass
+
+    def generate_execution_code(self, code):
+        # Evaluate and store argument default values
+        for arg in self.args:
+            if not arg.is_dynamic:
+                arg.generate_assignment_code(code)
+
+    #
+    # Special code for the __getbuffer__ function
+    #
+    def getbuffer_init(self, code):
+        info = self.local_scope.arg_entries[1].cname
+        # Python 3.0 betas have a bug in memoryview which makes it call
+        # getbuffer with a NULL parameter. For now we work around this;
+        # the following block should be removed when this bug is fixed.
+        code.putln("if (%s != NULL) {" % info)
+        code.putln("%s->obj = Py_None; __Pyx_INCREF(Py_None);" % info)
+        code.put_giveref("%s->obj" % info) # Do not refnanny object within structs
+        code.putln("}")
+
+    def getbuffer_error_cleanup(self, code):
+        info = self.local_scope.arg_entries[1].cname
+        code.putln("if (%s != NULL && %s->obj != NULL) {"
+                   % (info, info))
+        code.put_gotref("%s->obj" % info)
+        code.putln("__Pyx_DECREF(%s->obj); %s->obj = NULL;"
+                   % (info, info))
+        code.putln("}")
+
+    def getbuffer_normal_cleanup(self, code):
+        info = self.local_scope.arg_entries[1].cname
+        code.putln("if (%s != NULL && %s->obj == Py_None) {" % (info, info))
+        code.put_gotref("Py_None")
+        code.putln("__Pyx_DECREF(Py_None); %s->obj = NULL;" % info)
+        code.putln("}")
+
+    def get_preprocessor_guard(self):
+        if not self.entry.is_special:
+            return None
+        name = self.entry.name
+        slot = TypeSlots.method_name_to_slot.get(name)
+        if not slot:
+            return None
+        if name == '__long__' and not self.entry.scope.lookup_here('__int__'):
+            return None
+        if name in ("__getbuffer__", "__releasebuffer__") and self.entry.scope.is_c_class_scope:
+            return None
+        return slot.preprocessor_guard_code()
+
+
+class CFuncDefNode(FuncDefNode):
+    #  C function definition.
+    #
+    #  modifiers     ['inline']
+    #  visibility    'private' or 'public' or 'extern'
+    #  base_type     CBaseTypeNode
+    #  declarator    CDeclaratorNode
+    #  cfunc_declarator  the CFuncDeclarator of this function
+    #                    (this is also available through declarator or a
+    #                     base thereof)
+    #  body          StatListNode
+    #  api           boolean
+    #  decorators    [DecoratorNode]        list of decorators
+    #
+    #  with_gil      boolean    Acquire GIL around body
+    #  type          CFuncType
+    #  py_func       wrapper for calling from Python
+    #  overridable   whether or not this is a cpdef function
+    #  inline_in_pxd whether this is an inline function in a pxd file
+    #  template_declaration  String or None   Used for c++ class methods
+    #  is_const_method whether this is a const method
+
+    child_attrs = ["base_type", "declarator", "body", "py_func"]
+
+    inline_in_pxd = False
+    decorators = None
+    directive_locals = None
+    directive_returns = None
+    override = None
+    template_declaration = None
+    is_const_method = False
+
+    def unqualified_name(self):
+        return self.entry.name
+
+    def analyse_declarations(self, env):
+        if self.directive_locals is None:
+            self.directive_locals = {}
+        self.directive_locals.update(env.directives['locals'])
+        if self.directive_returns is not None:
+            base_type = self.directive_returns.analyse_as_type(env)
+            if base_type is None:
+                error(self.directive_returns.pos, "Not a type")
+                base_type = PyrexTypes.error_type
+        else:
+            base_type = self.base_type.analyse(env)
+        # The 2 here is because we need both function and argument names.
+        if isinstance(self.declarator, CFuncDeclaratorNode):
+            name_declarator, type = self.declarator.analyse(base_type, env,
+                                                            nonempty = 2 * (self.body is not None),
+                                                            directive_locals = self.directive_locals)
+        else:
+            name_declarator, type = self.declarator.analyse(base_type, env, nonempty = 2 * (self.body is not None))
+        if not type.is_cfunction:
+            error(self.pos,
+                "Suite attached to non-function declaration")
+        # Remember the actual type according to the function header
+        # written here, because the type in the symbol table entry
+        # may be different if we're overriding a C method inherited
+        # from the base type of an extension type.
+        self.type = type
+        type.is_overridable = self.overridable
+        declarator = self.declarator
+        while not hasattr(declarator, 'args'):
+            declarator = declarator.base
+
+        self.cfunc_declarator = declarator
+        self.args = declarator.args
+
+        opt_arg_count = self.cfunc_declarator.optional_arg_count
+        if (self.visibility == 'public' or self.api) and opt_arg_count:
+            error(self.cfunc_declarator.pos,
+                  "Function with optional arguments may not be declared "
+                  "public or api")
+
+        if (type.exception_check == '+' and self.visibility != 'extern'):
+            warning(self.cfunc_declarator.pos,
+                    "Only extern functions can throw C++ exceptions.")
+
+        for formal_arg, type_arg in zip(self.args, type.args):
+            self.align_argument_type(env, type_arg)
+            formal_arg.type = type_arg.type
+            formal_arg.name = type_arg.name
+            formal_arg.cname = type_arg.cname
+
+            self._validate_type_visibility(type_arg.type, type_arg.pos, env)
+
+            if type_arg.type.is_fused:
+                self.has_fused_arguments = True
+
+            if type_arg.type.is_buffer and 'inline' in self.modifiers:
+                warning(formal_arg.pos, "Buffer unpacking not optimized away.", 1)
+
+            if type_arg.type.is_buffer:
+                if self.type.nogil:
+                    error(formal_arg.pos,
+                          "Buffer may not be acquired without the GIL. "
+                          "Consider using memoryview slices instead.")
+                elif 'inline' in self.modifiers:
+                    warning(formal_arg.pos, "Buffer unpacking not optimized away.", 1)
+
+        self._validate_type_visibility(type.return_type, self.pos, env)
+
+        name = name_declarator.name
+        cname = name_declarator.cname
+
+        type.is_const_method = self.is_const_method
+        self.entry = env.declare_cfunction(
+            name, type, self.pos,
+            cname = cname, visibility = self.visibility, api = self.api,
+            defining = self.body is not None, modifiers = self.modifiers)
+        self.entry.inline_func_in_pxd = self.inline_in_pxd
+        self.return_type = type.return_type
+        if self.return_type.is_array and self.visibility != 'extern':
+            error(self.pos,
+                "Function cannot return an array")
+        if self.return_type.is_cpp_class:
+            self.return_type.check_nullary_constructor(self.pos, "used as a return value")
+
+        if self.overridable and not env.is_module_scope:
+            if len(self.args) < 1 or not self.args[0].type.is_pyobject:
+                # An error will be produced in the cdef function
+                self.overridable = False
+
+        self.declare_cpdef_wrapper(env)
+        self.create_local_scope(env)
+
+    def declare_cpdef_wrapper(self, env):
+        if self.overridable:
+            name = self.entry.name
+            py_func_body = self.call_self_node(is_module_scope = env.is_module_scope)
+            self.py_func = DefNode(pos = self.pos,
+                                   name = self.entry.name,
+                                   args = self.args,
+                                   star_arg = None,
+                                   starstar_arg = None,
+                                   doc = self.doc,
+                                   body = py_func_body,
+                                   is_wrapper = 1)
+            self.py_func.is_module_scope = env.is_module_scope
+            self.py_func.analyse_declarations(env)
+            self.entry.as_variable = self.py_func.entry
+            self.entry.used = self.entry.as_variable.used = True
+            # Reset scope entry the above cfunction
+            env.entries[name] = self.entry
+            if (not self.entry.is_final_cmethod and
+                (not env.is_module_scope or Options.lookup_module_cpdef)):
+                self.override = OverrideCheckNode(self.pos, py_func = self.py_func)
+                self.body = StatListNode(self.pos, stats=[self.override, self.body])
+
+    def _validate_type_visibility(self, type, pos, env):
+        """
+        Ensure that types used in cdef functions are public or api, or
+        defined in a C header.
+        """
+        public_or_api = (self.visibility == 'public' or self.api)
+        entry = getattr(type, 'entry', None)
+        if public_or_api and entry and env.is_module_scope:
+            if not (entry.visibility in ('public', 'extern') or
+                    entry.api or entry.in_cinclude):
+                error(pos, "Function declared public or api may not have "
+                           "private types")
+
+    def call_self_node(self, omit_optional_args=0, is_module_scope=0):
+        import ExprNodes
+        args = self.type.args
+        if omit_optional_args:
+            args = args[:len(args) - self.type.optional_arg_count]
+        arg_names = [arg.name for arg in args]
+        if is_module_scope:
+            cfunc = ExprNodes.NameNode(self.pos, name=self.entry.name)
+        else:
+            self_arg = ExprNodes.NameNode(self.pos, name=arg_names[0])
+            cfunc = ExprNodes.AttributeNode(self.pos, obj=self_arg, attribute=self.entry.name)
+        skip_dispatch = not is_module_scope or Options.lookup_module_cpdef
+        c_call = ExprNodes.SimpleCallNode(self.pos, function=cfunc, args=[ExprNodes.NameNode(self.pos, name=n) for n in arg_names[1-is_module_scope:]], wrapper_call=skip_dispatch)
+        return ReturnStatNode(pos=self.pos, return_type=PyrexTypes.py_object_type, value=c_call)
+
+    def declare_arguments(self, env):
+        for arg in self.type.args:
+            if not arg.name:
+                error(arg.pos, "Missing argument name")
+            self.declare_argument(env, arg)
+
+    def need_gil_acquisition(self, lenv):
+        return self.type.with_gil
+
+    def nogil_check(self, env):
+        type = self.type
+        with_gil = type.with_gil
+        if type.nogil and not with_gil:
+            if type.return_type.is_pyobject:
+                error(self.pos,
+                      "Function with Python return type cannot be declared nogil")
+            for entry in self.local_scope.var_entries:
+                if entry.type.is_pyobject and not entry.in_with_gil_block:
+                    error(self.pos, "Function declared nogil has Python locals or temporaries")
+
+    def analyse_expressions(self, env):
+        self.local_scope.directives = env.directives
+        if self.py_func is not None:
+            # this will also analyse the default values
+            self.py_func = self.py_func.analyse_expressions(env)
+        else:
+            self.analyse_default_values(env)
+        self.acquire_gil = self.need_gil_acquisition(self.local_scope)
+        return self
+
+    def needs_assignment_synthesis(self, env, code=None):
+        return False
+
+    def generate_function_header(self, code, with_pymethdef, with_opt_args = 1, with_dispatch = 1, cname = None):
+        scope = self.local_scope
+        arg_decls = []
+        type = self.type
+        for arg in type.args[:len(type.args)-type.optional_arg_count]:
+            arg_decl = arg.declaration_code()
+            entry = scope.lookup(arg.name)
+            if not entry.cf_used:
+                arg_decl = 'CYTHON_UNUSED %s' % arg_decl
+            arg_decls.append(arg_decl)
+        if with_dispatch and self.overridable:
+            dispatch_arg = PyrexTypes.c_int_type.declaration_code(
+                Naming.skip_dispatch_cname)
+            if self.override:
+                arg_decls.append(dispatch_arg)
+            else:
+                arg_decls.append('CYTHON_UNUSED %s' % dispatch_arg)
+        if type.optional_arg_count and with_opt_args:
+            arg_decls.append(type.op_arg_struct.declaration_code(Naming.optional_args_cname))
+        if type.has_varargs:
+            arg_decls.append("...")
+        if not arg_decls:
+            arg_decls = ["void"]
+        if cname is None:
+            cname = self.entry.func_cname
+        entity = type.function_header_code(cname, ', '.join(arg_decls))
+        if self.entry.visibility == 'private' and '::' not in cname:
+            storage_class = "static "
+        else:
+            storage_class = ""
+        dll_linkage = None
+        modifiers = code.build_function_modifiers(self.entry.func_modifiers)
+
+        header = self.return_type.declaration_code(entity, dll_linkage=dll_linkage)
+        #print (storage_class, modifiers, header)
+        if self.template_declaration:
+            code.putln(self.template_declaration)
+        code.putln("%s%s%s {" % (storage_class, modifiers, header))
+
+    def generate_argument_declarations(self, env, code):
+        scope = self.local_scope
+        for arg in self.args:
+            if arg.default:
+                entry = scope.lookup(arg.name)
+                if self.override or entry.cf_used:
+                    result = arg.calculate_default_value_code(code)
+                    code.putln('%s = %s;' % (
+                        arg.type.declaration_code(arg.cname), result))
+
+    def generate_keyword_list(self, code):
+        pass
+
+    def generate_argument_parsing_code(self, env, code):
+        i = 0
+        used = 0
+        if self.type.optional_arg_count:
+            scope = self.local_scope
+            code.putln('if (%s) {' % Naming.optional_args_cname)
+            for arg in self.args:
+                if arg.default:
+                    entry = scope.lookup(arg.name)
+                    if self.override or entry.cf_used:
+                        code.putln('if (%s->%sn > %s) {' %
+                                   (Naming.optional_args_cname,
+                                    Naming.pyrex_prefix, i))
+                        declarator = arg.declarator
+                        while not hasattr(declarator, 'name'):
+                            declarator = declarator.base
+                        code.putln('%s = %s->%s;' %
+                                   (arg.cname, Naming.optional_args_cname,
+                                    self.type.opt_arg_cname(declarator.name)))
+                        used += 1
+                    i += 1
+            for _ in range(used):
+                code.putln('}')
+            code.putln('}')
+
+    def generate_argument_conversion_code(self, code):
+        pass
+
+    def generate_argument_type_tests(self, code):
+        # Generate type tests for args whose type in a parent
+        # class is a supertype of the declared type.
+        for arg in self.type.args:
+            if arg.needs_type_test:
+                self.generate_arg_type_test(arg, code)
+            elif arg.type.is_pyobject and not arg.accept_none:
+                self.generate_arg_none_check(arg, code)
+
+    def error_value(self):
+        if self.return_type.is_pyobject:
+            return "0"
+        else:
+            #return None
+            return self.entry.type.exception_value
+
+    def caller_will_check_exceptions(self):
+        return self.entry.type.exception_check
+
+    def generate_wrapper_functions(self, code):
+        # If the C signature of a function has changed, we need to generate
+        # wrappers to put in the slots here.
+        k = 0
+        entry = self.entry
+        func_type = entry.type
+        while entry.prev_entry is not None:
+            k += 1
+            entry = entry.prev_entry
+            entry.func_cname = "%s%swrap_%s" % (self.entry.func_cname, Naming.pyrex_prefix, k)
+            code.putln()
+            self.generate_function_header(code,
+                                          0,
+                                          with_dispatch = entry.type.is_overridable,
+                                          with_opt_args = entry.type.optional_arg_count,
+                                          cname = entry.func_cname)
+            if not self.return_type.is_void:
+                code.put('return ')
+            args = self.type.args
+            arglist = [arg.cname for arg in args[:len(args)-self.type.optional_arg_count]]
+            if entry.type.is_overridable:
+                arglist.append(Naming.skip_dispatch_cname)
+            elif func_type.is_overridable:
+                arglist.append('0')
+            if entry.type.optional_arg_count:
+                arglist.append(Naming.optional_args_cname)
+            elif func_type.optional_arg_count:
+                arglist.append('NULL')
+            code.putln('%s(%s);' % (self.entry.func_cname, ', '.join(arglist)))
+            code.putln('}')
+
+
+class PyArgDeclNode(Node):
+    # Argument which must be a Python object (used
+    # for * and ** arguments).
+    #
+    # name        string
+    # entry       Symtab.Entry
+    # annotation  ExprNode or None   Py3 argument annotation
+    child_attrs = []
+    is_self_arg = False
+    is_type_arg = False
+
+    def generate_function_definitions(self, env, code):
+        self.entry.generate_function_definitions(env, code)
+
+class DecoratorNode(Node):
+    # A decorator
+    #
+    # decorator    NameNode or CallNode or AttributeNode
+    child_attrs = ['decorator']
+
+
+class DefNode(FuncDefNode):
+    # A Python function definition.
+    #
+    # name          string                 the Python name of the function
+    # lambda_name   string                 the internal name of a lambda 'function'
+    # decorators    [DecoratorNode]        list of decorators
+    # args          [CArgDeclNode]         formal arguments
+    # doc           EncodedString or None
+    # body          StatListNode
+    # return_type_annotation
+    #               ExprNode or None       the Py3 return type annotation
+    #
+    #  The following subnode is constructed internally
+    #  when the def statement is inside a Python class definition.
+    #
+    #  fused_py_func        DefNode     The original fused cpdef DefNode
+    #                                   (in case this is a specialization)
+    #  specialized_cpdefs   [DefNode]   list of specialized cpdef DefNodes
+    #  py_cfunc_node  PyCFunctionNode/InnerFunctionNode   The PyCFunction to create and assign
+    #
+    # decorator_indirection IndirectionNode Used to remove __Pyx_Method_ClassMethod for fused functions
+
+    child_attrs = ["args", "star_arg", "starstar_arg", "body", "decorators"]
+
+    lambda_name = None
+    reqd_kw_flags_cname = "0"
+    is_wrapper = 0
+    no_assignment_synthesis = 0
+    decorators = None
+    return_type_annotation = None
+    entry = None
+    acquire_gil = 0
+    self_in_stararg = 0
+    py_cfunc_node = None
+    requires_classobj = False
+    defaults_struct = None # Dynamic kwrds structure name
+    doc = None
+
+    fused_py_func = False
+    specialized_cpdefs = None
+    py_wrapper = None
+    py_wrapper_required = True
+    func_cname = None
+
+    defaults_getter = None
+
+    def __init__(self, pos, **kwds):
+        FuncDefNode.__init__(self, pos, **kwds)
+        k = rk = r = 0
+        for arg in self.args:
+            if arg.kw_only:
+                k += 1
+                if not arg.default:
+                    rk += 1
+            if not arg.default:
+                r += 1
+        self.num_kwonly_args = k
+        self.num_required_kw_args = rk
+        self.num_required_args = r
+
+    def as_cfunction(self, cfunc=None, scope=None, overridable=True, returns=None):
+        if self.star_arg:
+            error(self.star_arg.pos, "cdef function cannot have star argument")
+        if self.starstar_arg:
+            error(self.starstar_arg.pos, "cdef function cannot have starstar argument")
+        if cfunc is None:
+            cfunc_args = []
+            for formal_arg in self.args:
+                name_declarator, type = formal_arg.analyse(scope, nonempty=1)
+                cfunc_args.append(PyrexTypes.CFuncTypeArg(name = name_declarator.name,
+                                                          cname = None,
+                                                          type = py_object_type,
+                                                          pos = formal_arg.pos))
+            cfunc_type = PyrexTypes.CFuncType(return_type = py_object_type,
+                                              args = cfunc_args,
+                                              has_varargs = False,
+                                              exception_value = None,
+                                              exception_check = False,
+                                              nogil = False,
+                                              with_gil = False,
+                                              is_overridable = overridable)
+            cfunc = CVarDefNode(self.pos, type=cfunc_type)
+        else:
+            if scope is None:
+                scope = cfunc.scope
+            cfunc_type = cfunc.type
+            if len(self.args) != len(cfunc_type.args) or cfunc_type.has_varargs:
+                error(self.pos, "wrong number of arguments")
+                error(cfunc.pos, "previous declaration here")
+            for i, (formal_arg, type_arg) in enumerate(zip(self.args, cfunc_type.args)):
+                name_declarator, type = formal_arg.analyse(scope, nonempty=1,
+                                                           is_self_arg = (i == 0 and scope.is_c_class_scope))
+                if type is None or type is PyrexTypes.py_object_type:
+                    formal_arg.type = type_arg.type
+                    formal_arg.name_declarator = name_declarator
+        import ExprNodes
+        if cfunc_type.exception_value is None:
+            exception_value = None
+        else:
+            exception_value = ExprNodes.ConstNode(self.pos, value=cfunc_type.exception_value, type=cfunc_type.return_type)
+        declarator = CFuncDeclaratorNode(self.pos,
+                                         base = CNameDeclaratorNode(self.pos, name=self.name, cname=None),
+                                         args = self.args,
+                                         has_varargs = False,
+                                         exception_check = cfunc_type.exception_check,
+                                         exception_value = exception_value,
+                                         with_gil = cfunc_type.with_gil,
+                                         nogil = cfunc_type.nogil)
+        return CFuncDefNode(self.pos,
+                            modifiers = [],
+                            base_type = CAnalysedBaseTypeNode(self.pos, type=cfunc_type.return_type),
+                            declarator = declarator,
+                            body = self.body,
+                            doc = self.doc,
+                            overridable = cfunc_type.is_overridable,
+                            type = cfunc_type,
+                            with_gil = cfunc_type.with_gil,
+                            nogil = cfunc_type.nogil,
+                            visibility = 'private',
+                            api = False,
+                            directive_locals = getattr(cfunc, 'directive_locals', {}),
+                            directive_returns = returns)
+
+    def is_cdef_func_compatible(self):
+        """Determines if the function's signature is compatible with a
+        cdef function.  This can be used before calling
+        .as_cfunction() to see if that will be successful.
+        """
+        if self.needs_closure:
+            return False
+        if self.star_arg or self.starstar_arg:
+            return False
+        return True
+
+    def analyse_declarations(self, env):
+        self.is_classmethod = self.is_staticmethod = False
+        if self.decorators:
+            for decorator in self.decorators:
+                func = decorator.decorator
+                if func.is_name:
+                    self.is_classmethod |= func.name == 'classmethod'
+                    self.is_staticmethod |= func.name == 'staticmethod'
+
+        if self.is_classmethod and env.lookup_here('classmethod'):
+            # classmethod() was overridden - not much we can do here ...
+            self.is_classmethod = False
+        if self.is_staticmethod and env.lookup_here('staticmethod'):
+            # staticmethod() was overridden - not much we can do here ...
+            self.is_staticmethod = False
+
+        if self.name == '__new__' and env.is_py_class_scope:
+            self.is_staticmethod = 1
+
+        self.analyse_argument_types(env)
+        if self.name == '<lambda>':
+            self.declare_lambda_function(env)
+        else:
+            self.declare_pyfunction(env)
+
+        self.analyse_signature(env)
+        self.return_type = self.entry.signature.return_type()
+        self.create_local_scope(env)
+
+        self.py_wrapper = DefNodeWrapper(
+            self.pos,
+            target=self,
+            name=self.entry.name,
+            args=self.args,
+            star_arg=self.star_arg,
+            starstar_arg=self.starstar_arg,
+            return_type=self.return_type)
+        self.py_wrapper.analyse_declarations(env)
+
+    def analyse_argument_types(self, env):
+        self.directive_locals = env.directives['locals']
+        allow_none_for_extension_args = env.directives['allow_none_for_extension_args']
+
+        f2s = env.fused_to_specific
+        env.fused_to_specific = None
+
+        for arg in self.args:
+            if hasattr(arg, 'name'):
+                name_declarator = None
+            else:
+                base_type = arg.base_type.analyse(env)
+                name_declarator, type = \
+                    arg.declarator.analyse(base_type, env)
+                arg.name = name_declarator.name
+                arg.type = type
+
+                if type.is_fused:
+                    self.has_fused_arguments = True
+
+            self.align_argument_type(env, arg)
+            if name_declarator and name_declarator.cname:
+                error(self.pos,
+                    "Python function argument cannot have C name specification")
+            arg.type = arg.type.as_argument_type()
+            arg.hdr_type = None
+            arg.needs_conversion = 0
+            arg.needs_type_test = 0
+            arg.is_generic = 1
+            if arg.type.is_pyobject or arg.type.is_buffer or arg.type.is_memoryviewslice:
+                if arg.or_none:
+                    arg.accept_none = True
+                elif arg.not_none:
+                    arg.accept_none = False
+                elif (arg.type.is_extension_type or arg.type.is_builtin_type
+                      or arg.type.is_buffer or arg.type.is_memoryviewslice):
+                    if arg.default and arg.default.constant_result is None:
+                        # special case: def func(MyType obj = None)
+                        arg.accept_none = True
+                    else:
+                        # default depends on compiler directive
+                        arg.accept_none = allow_none_for_extension_args
+                else:
+                    # probably just a plain 'object'
+                    arg.accept_none = True
+            else:
+                arg.accept_none = True # won't be used, but must be there
+                if arg.not_none:
+                    error(arg.pos, "Only Python type arguments can have 'not None'")
+                if arg.or_none:
+                    error(arg.pos, "Only Python type arguments can have 'or None'")
+
+        env.fused_to_specific = f2s
+
+    def analyse_signature(self, env):
+        if self.entry.is_special:
+            if self.decorators:
+                error(self.pos, "special functions of cdef classes cannot have decorators")
+            self.entry.trivial_signature = len(self.args) == 1 and not (self.star_arg or self.starstar_arg)
+        elif not env.directives['always_allow_keywords'] and not (self.star_arg or self.starstar_arg):
+            # Use the simpler calling signature for zero- and one-argument functions.
+            if self.entry.signature is TypeSlots.pyfunction_signature:
+                if len(self.args) == 0:
+                    self.entry.signature = TypeSlots.pyfunction_noargs
+                elif len(self.args) == 1:
+                    if self.args[0].default is None and not self.args[0].kw_only:
+                        self.entry.signature = TypeSlots.pyfunction_onearg
+            elif self.entry.signature is TypeSlots.pymethod_signature:
+                if len(self.args) == 1:
+                    self.entry.signature = TypeSlots.unaryfunc
+                elif len(self.args) == 2:
+                    if self.args[1].default is None and not self.args[1].kw_only:
+                        self.entry.signature = TypeSlots.ibinaryfunc
+
+        sig = self.entry.signature
+        nfixed = sig.num_fixed_args()
+        if sig is TypeSlots.pymethod_signature and nfixed == 1 \
+               and len(self.args) == 0 and self.star_arg:
+            # this is the only case where a diverging number of
+            # arguments is not an error - when we have no explicit
+            # 'self' parameter as in method(*args)
+            sig = self.entry.signature = TypeSlots.pyfunction_signature # self is not 'really' used
+            self.self_in_stararg = 1
+            nfixed = 0
+
+        if self.is_staticmethod and env.is_c_class_scope:
+            nfixed = 0
+            self.self_in_stararg = True  # FIXME: why for staticmethods?
+
+            self.entry.signature = sig = copy.copy(sig)
+            sig.fixed_arg_format = "*"
+            sig.is_staticmethod = True
+            sig.has_generic_args = True
+
+        if ((self.is_classmethod or self.is_staticmethod) and
+            self.has_fused_arguments and env.is_c_class_scope):
+            del self.decorator_indirection.stats[:]
+
+        for i in range(min(nfixed, len(self.args))):
+            arg = self.args[i]
+            arg.is_generic = 0
+            if sig.is_self_arg(i) and not self.is_staticmethod:
+                if self.is_classmethod:
+                    arg.is_type_arg = 1
+                    arg.hdr_type = arg.type = Builtin.type_type
+                else:
+                    arg.is_self_arg = 1
+                    arg.hdr_type = arg.type = env.parent_type
+                arg.needs_conversion = 0
+            else:
+                arg.hdr_type = sig.fixed_arg_type(i)
+                if not arg.type.same_as(arg.hdr_type):
+                    if arg.hdr_type.is_pyobject and arg.type.is_pyobject:
+                        arg.needs_type_test = 1
+                    else:
+                        arg.needs_conversion = 1
+            if arg.needs_conversion:
+                arg.hdr_cname = Naming.arg_prefix + arg.name
+            else:
+                arg.hdr_cname = Naming.var_prefix + arg.name
+
+        if nfixed > len(self.args):
+            self.bad_signature()
+            return
+        elif nfixed < len(self.args):
+            if not sig.has_generic_args:
+                self.bad_signature()
+            for arg in self.args:
+                if arg.is_generic and \
+                        (arg.type.is_extension_type or arg.type.is_builtin_type):
+                    arg.needs_type_test = 1
+
+    def bad_signature(self):
+        sig = self.entry.signature
+        expected_str = "%d" % sig.num_fixed_args()
+        if sig.has_generic_args:
+            expected_str += " or more"
+        name = self.name
+        if name.startswith("__") and name.endswith("__"):
+            desc = "Special method"
+        else:
+            desc = "Method"
+        error(self.pos,
+            "%s %s has wrong number of arguments "
+            "(%d declared, %s expected)" % (
+                desc, self.name, len(self.args), expected_str))
+
+    def declare_pyfunction(self, env):
+        #print "DefNode.declare_pyfunction:", self.name, "in", env ###
+        name = self.name
+        entry = env.lookup_here(name)
+        if entry:
+            if entry.is_final_cmethod and not env.parent_type.is_final_type:
+                error(self.pos, "Only final types can have final Python (def/cpdef) methods")
+            if (entry.type.is_cfunction and not entry.is_builtin_cmethod
+                and not self.is_wrapper):
+                warning(self.pos, "Overriding cdef method with def method.", 5)
+        entry = env.declare_pyfunction(name, self.pos, allow_redefine=not self.is_wrapper)
+        self.entry = entry
+        prefix = env.next_id(env.scope_prefix)
+        self.entry.pyfunc_cname = Naming.pyfunc_prefix + prefix + name
+        if Options.docstrings:
+            entry.doc = embed_position(self.pos, self.doc)
+            entry.doc_cname = Naming.funcdoc_prefix + prefix + name
+            if entry.is_special:
+                if entry.name in TypeSlots.invisible or not entry.doc or (entry.name in '__getattr__' and env.directives['fast_getattr']):
+                    entry.wrapperbase_cname = None
+                else:
+                    entry.wrapperbase_cname = Naming.wrapperbase_prefix + prefix + name
+        else:
+            entry.doc = None
+
+    def declare_lambda_function(self, env):
+        entry = env.declare_lambda_function(self.lambda_name, self.pos)
+        entry.doc = None
+        self.entry = entry
+        self.entry.pyfunc_cname = entry.cname
+
+    def declare_arguments(self, env):
+        for arg in self.args:
+            if not arg.name:
+                error(arg.pos, "Missing argument name")
+            if arg.needs_conversion:
+                arg.entry = env.declare_var(arg.name, arg.type, arg.pos)
+                if arg.type.is_pyobject:
+                    arg.entry.init = "0"
+            else:
+                arg.entry = self.declare_argument(env, arg)
+            arg.entry.is_arg = 1
+            arg.entry.used = 1
+            arg.entry.is_self_arg = arg.is_self_arg
+        self.declare_python_arg(env, self.star_arg)
+        self.declare_python_arg(env, self.starstar_arg)
+
+    def declare_python_arg(self, env, arg):
+        if arg:
+            if env.directives['infer_types'] != False:
+                type = PyrexTypes.unspecified_type
+            else:
+                type = py_object_type
+            entry = env.declare_var(arg.name, type, arg.pos)
+            entry.is_arg = 1
+            entry.used = 1
+            entry.init = "0"
+            entry.xdecref_cleanup = 1
+            arg.entry = entry
+
+    def analyse_expressions(self, env):
+        self.local_scope.directives = env.directives
+        self.analyse_default_values(env)
+
+        if not self.needs_assignment_synthesis(env) and self.decorators:
+            for decorator in self.decorators[::-1]:
+                decorator.decorator = decorator.decorator.analyse_expressions(env)
+
+        self.py_wrapper.prepare_argument_coercion(env)
+        return self
+
+    def needs_assignment_synthesis(self, env, code=None):
+        if self.is_wrapper or self.specialized_cpdefs or self.entry.is_fused_specialized:
+            return False
+        if self.is_staticmethod:
+            return True
+        if self.no_assignment_synthesis:
+            return False
+        # Should enable for module level as well, that will require more testing...
+        if self.entry.is_anonymous:
+            return True
+        if env.is_module_scope:
+            if code is None:
+                return env.directives['binding']
+            else:
+                return code.globalstate.directives['binding']
+        return env.is_py_class_scope or env.is_closure_scope
+
+    def error_value(self):
+        return self.entry.signature.error_value
+
+    def caller_will_check_exceptions(self):
+        return self.entry.signature.exception_check
+
+    def generate_function_definitions(self, env, code):
+        if self.defaults_getter:
+            self.defaults_getter.generate_function_definitions(env, code)
+
+        # Before closure cnames are mangled
+        if self.py_wrapper_required:
+            # func_cname might be modified by @cname
+            self.py_wrapper.func_cname = self.entry.func_cname
+            self.py_wrapper.generate_function_definitions(env, code)
+        FuncDefNode.generate_function_definitions(self, env, code)
+
+    def generate_function_header(self, code, with_pymethdef, proto_only=0):
+        if proto_only:
+            if self.py_wrapper_required:
+                self.py_wrapper.generate_function_header(
+                    code, with_pymethdef, True)
+            return
+        arg_code_list = []
+        if self.entry.signature.has_dummy_arg:
+            self_arg = 'PyObject *%s' % Naming.self_cname
+            if not self.needs_outer_scope:
+                self_arg = 'CYTHON_UNUSED ' + self_arg
+            arg_code_list.append(self_arg)
+
+        def arg_decl_code(arg):
+            entry = arg.entry
+            if entry.in_closure:
+                cname = entry.original_cname
+            else:
+                cname = entry.cname
+            decl = entry.type.declaration_code(cname)
+            if not entry.cf_used:
+                decl = 'CYTHON_UNUSED ' + decl
+            return decl
+
+        for arg in self.args:
+            arg_code_list.append(arg_decl_code(arg))
+        if self.star_arg:
+            arg_code_list.append(arg_decl_code(self.star_arg))
+        if self.starstar_arg:
+            arg_code_list.append(arg_decl_code(self.starstar_arg))
+        arg_code = ', '.join(arg_code_list)
+        dc = self.return_type.declaration_code(self.entry.pyfunc_cname)
+
+        decls_code = code.globalstate['decls']
+        preprocessor_guard = self.get_preprocessor_guard()
+        if preprocessor_guard:
+            decls_code.putln(preprocessor_guard)
+        decls_code.putln(
+            "static %s(%s); /* proto */" % (dc, arg_code))
+        if preprocessor_guard:
+            decls_code.putln("#endif")
+        code.putln("static %s(%s) {" % (dc, arg_code))
+
+    def generate_argument_declarations(self, env, code):
+        pass
+
+    def generate_keyword_list(self, code):
+        pass
+
+    def generate_argument_parsing_code(self, env, code):
+        # Move arguments into closure if required
+        def put_into_closure(entry):
+            if entry.in_closure:
+                code.putln('%s = %s;' % (entry.cname, entry.original_cname))
+                code.put_var_incref(entry)
+                code.put_var_giveref(entry)
+        for arg in self.args:
+            put_into_closure(arg.entry)
+        for arg in self.star_arg, self.starstar_arg:
+            if arg:
+                put_into_closure(arg.entry)
+
+    def generate_argument_type_tests(self, code):
+        pass
+
+
+class DefNodeWrapper(FuncDefNode):
+    # DefNode python wrapper code generator
+
+    defnode = None
+    target = None # Target DefNode
+
+    def __init__(self, *args, **kwargs):
+        FuncDefNode.__init__(self, *args, **kwargs)
+        self.num_kwonly_args = self.target.num_kwonly_args
+        self.num_required_kw_args = self.target.num_required_kw_args
+        self.num_required_args = self.target.num_required_args
+        self.self_in_stararg = self.target.self_in_stararg
+        self.signature = None
+
+    def analyse_declarations(self, env):
+        target_entry = self.target.entry
+        name = self.name
+        prefix = env.next_id(env.scope_prefix)
+        target_entry.func_cname = Naming.pywrap_prefix + prefix + name
+        target_entry.pymethdef_cname = Naming.pymethdef_prefix + prefix + name
+
+        self.signature = target_entry.signature
+
+    def prepare_argument_coercion(self, env):
+        # This is only really required for Cython utility code at this time,
+        # everything else can be done during code generation.  But we expand
+        # all utility code here, simply because we cannot easily distinguish
+        # different code types.
+        for arg in self.args:
+            if not arg.type.is_pyobject:
+                if not arg.type.create_from_py_utility_code(env):
+                    pass # will fail later
+            elif arg.hdr_type and not arg.hdr_type.is_pyobject:
+                if not arg.hdr_type.create_to_py_utility_code(env):
+                    pass # will fail later
+
+    def signature_has_nongeneric_args(self):
+        argcount = len(self.args)
+        if argcount == 0 or (
+                argcount == 1 and (self.args[0].is_self_arg or
+                                   self.args[0].is_type_arg)):
+            return 0
+        return 1
+
+    def signature_has_generic_args(self):
+        return self.signature.has_generic_args
+
+    def generate_function_body(self, code):
+        args = []
+        if self.signature.has_dummy_arg:
+            args.append(Naming.self_cname)
+        for arg in self.args:
+            if arg.hdr_type and not (arg.type.is_memoryviewslice or
+                                     arg.type.is_struct or
+                                     arg.type.is_complex):
+                args.append(arg.type.cast_code(arg.entry.cname))
+            else:
+                args.append(arg.entry.cname)
+        if self.star_arg:
+            args.append(self.star_arg.entry.cname)
+        if self.starstar_arg:
+            args.append(self.starstar_arg.entry.cname)
+        args = ', '.join(args)
+        if not self.return_type.is_void:
+            code.put('%s = ' % Naming.retval_cname)
+        code.putln('%s(%s);' % (
+            self.target.entry.pyfunc_cname, args))
+
+    def generate_function_definitions(self, env, code):
+        lenv = self.target.local_scope
+        # Generate C code for header and body of function
+        code.mark_pos(self.pos)
+        code.putln("")
+        code.putln("/* Python wrapper */")
+        preprocessor_guard = self.target.get_preprocessor_guard()
+        if preprocessor_guard:
+            code.putln(preprocessor_guard)
+
+        code.enter_cfunc_scope()
+        code.return_from_error_cleanup_label = code.new_label()
+
+        with_pymethdef = (self.target.needs_assignment_synthesis(env, code) or
+                          self.target.pymethdef_required)
+        self.generate_function_header(code, with_pymethdef)
+        self.generate_argument_declarations(lenv, code)
+        tempvardecl_code = code.insertion_point()
+
+        if self.return_type.is_pyobject:
+            retval_init = ' = 0'
+        else:
+            retval_init = ''
+        if not self.return_type.is_void:
+            code.putln('%s%s;' % (
+                self.return_type.declaration_code(Naming.retval_cname),
+                retval_init))
+        code.put_declare_refcount_context()
+        code.put_setup_refcount_context('%s (wrapper)' % self.name)
+
+        self.generate_argument_parsing_code(lenv, code)
+        self.generate_argument_type_tests(code)
+        self.generate_function_body(code)
+
+        # ----- Go back and insert temp variable declarations
+        tempvardecl_code.put_temp_declarations(code.funcstate)
+
+        code.mark_pos(self.pos)
+        code.putln("")
+        code.putln("/* function exit code */")
+
+        # ----- Error cleanup
+        if code.error_label in code.labels_used:
+            code.put_goto(code.return_label)
+            code.put_label(code.error_label)
+            for cname, type in code.funcstate.all_managed_temps():
+                code.put_xdecref(cname, type)
+            err_val = self.error_value()
+            if err_val is not None:
+                code.putln("%s = %s;" % (Naming.retval_cname, err_val))
+
+        # ----- Non-error return cleanup
+        code.put_label(code.return_label)
+        for entry in lenv.var_entries:
+            if entry.is_arg and entry.type.is_pyobject:
+                code.put_var_decref(entry)
+
+        code.put_finish_refcount_context()
+        if not self.return_type.is_void:
+            code.putln("return %s;" % Naming.retval_cname)
+        code.putln('}')
+        code.exit_cfunc_scope()
+        if preprocessor_guard:
+            code.putln("#endif /*!(%s)*/" % preprocessor_guard)
+
+    def generate_function_header(self, code, with_pymethdef, proto_only=0):
+        arg_code_list = []
+        sig = self.signature
+
+        if sig.has_dummy_arg or self.self_in_stararg:
+            arg_code = "PyObject *%s" % Naming.self_cname
+            if not sig.has_dummy_arg:
+                arg_code = 'CYTHON_UNUSED ' + arg_code
+            arg_code_list.append(arg_code)
+
+        for arg in self.args:
+            if not arg.is_generic:
+                if arg.is_self_arg or arg.is_type_arg:
+                    arg_code_list.append("PyObject *%s" % arg.hdr_cname)
+                else:
+                    arg_code_list.append(
+                        arg.hdr_type.declaration_code(arg.hdr_cname))
+        entry = self.target.entry
+        if not entry.is_special and sig.method_flags() == [TypeSlots.method_noargs]:
+            arg_code_list.append("CYTHON_UNUSED PyObject *unused")
+        if entry.scope.is_c_class_scope and entry.name == "__ipow__":
+            arg_code_list.append("CYTHON_UNUSED PyObject *unused")
+        if sig.has_generic_args:
+            arg_code_list.append(
+                "PyObject *%s, PyObject *%s"
+                    % (Naming.args_cname, Naming.kwds_cname))
+        arg_code = ", ".join(arg_code_list)
+
+        # Prevent warning: unused function '__pyx_pw_5numpy_7ndarray_1__getbuffer__'
+        mf = ""
+        if (entry.name in ("__getbuffer__", "__releasebuffer__")
+            and entry.scope.is_c_class_scope):
+            mf = "CYTHON_UNUSED "
+            with_pymethdef = False
+
+        dc = self.return_type.declaration_code(entry.func_cname)
+        header = "static %s%s(%s)" % (mf, dc, arg_code)
+        code.putln("%s; /*proto*/" % header)
+
+        if proto_only:
+            if self.target.fused_py_func:
+                # If we are the specialized version of the cpdef, we still
+                # want the prototype for the "fused cpdef", in case we're
+                # checking to see if our method was overridden in Python
+                self.target.fused_py_func.generate_function_header(
+                                    code, with_pymethdef, proto_only=True)
+            return
+
+        if (Options.docstrings and entry.doc and
+                not self.target.fused_py_func and
+                not entry.scope.is_property_scope and
+                (not entry.is_special or entry.wrapperbase_cname)):
+            # h_code = code.globalstate['h_code']
+            docstr = entry.doc
+
+            if docstr.is_unicode:
+                docstr = docstr.utf8encode()
+
+            code.putln(
+                'static char %s[] = "%s";' % (
+                    entry.doc_cname,
+                    split_string_literal(escape_byte_string(docstr))))
+
+            if entry.is_special:
+                code.putln('#if CYTHON_COMPILING_IN_CPYTHON')
+                code.putln(
+                    "struct wrapperbase %s;" % entry.wrapperbase_cname)
+                code.putln('#endif')
+
+        if with_pymethdef or self.target.fused_py_func:
+            code.put(
+                "static PyMethodDef %s = " %
+                    entry.pymethdef_cname)
+            code.put_pymethoddef(self.target.entry, ";", allow_skip=False)
+        code.putln("%s {" % header)
+
+    def generate_argument_declarations(self, env, code):
+        for arg in self.args:
+            if arg.is_generic:
+                if arg.needs_conversion:
+                    code.putln("PyObject *%s = 0;" % arg.hdr_cname)
+                else:
+                    code.put_var_declaration(arg.entry)
+        for entry in env.var_entries:
+            if entry.is_arg:
+                code.put_var_declaration(entry)
+
+    def generate_argument_parsing_code(self, env, code):
+        # Generate fast equivalent of PyArg_ParseTuple call for
+        # generic arguments, if any, including args/kwargs
+        old_error_label = code.new_error_label()
+        our_error_label = code.error_label
+        end_label = code.new_label("argument_unpacking_done")
+
+        has_kwonly_args = self.num_kwonly_args > 0
+        has_star_or_kw_args = self.star_arg is not None \
+            or self.starstar_arg is not None or has_kwonly_args
+
+        for arg in self.args:
+            if not arg.type.is_pyobject:
+                if not arg.type.create_from_py_utility_code(env):
+                    pass # will fail later
+
+        if not self.signature_has_generic_args():
+            if has_star_or_kw_args:
+                error(self.pos, "This method cannot have * or keyword arguments")
+            self.generate_argument_conversion_code(code)
+
+        elif not self.signature_has_nongeneric_args():
+            # func(*args) or func(**kw) or func(*args, **kw)
+            self.generate_stararg_copy_code(code)
+
+        else:
+            self.generate_tuple_and_keyword_parsing_code(self.args, end_label, code)
+
+        code.error_label = old_error_label
+        if code.label_used(our_error_label):
+            if not code.label_used(end_label):
+                code.put_goto(end_label)
+            code.put_label(our_error_label)
+            if has_star_or_kw_args:
+                self.generate_arg_decref(self.star_arg, code)
+                if self.starstar_arg:
+                    if self.starstar_arg.entry.xdecref_cleanup:
+                        code.put_var_xdecref_clear(self.starstar_arg.entry)
+                    else:
+                        code.put_var_decref_clear(self.starstar_arg.entry)
+            code.put_add_traceback(self.target.entry.qualified_name)
+            code.put_finish_refcount_context()
+            code.putln("return %s;" % self.error_value())
+        if code.label_used(end_label):
+            code.put_label(end_label)
+
+    def generate_arg_xdecref(self, arg, code):
+        if arg:
+            code.put_var_xdecref_clear(arg.entry)
+
+    def generate_arg_decref(self, arg, code):
+        if arg:
+            code.put_var_decref_clear(arg.entry)
+
+    def generate_stararg_copy_code(self, code):
+        if not self.star_arg:
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("RaiseArgTupleInvalid", "FunctionArguments.c"))
+            code.putln("if (unlikely(PyTuple_GET_SIZE(%s) > 0)) {" %
+                       Naming.args_cname)
+            code.put('__Pyx_RaiseArgtupleInvalid("%s", 1, 0, 0, PyTuple_GET_SIZE(%s)); return %s;' % (
+                    self.name, Naming.args_cname, self.error_value()))
+            code.putln("}")
+
+        if self.starstar_arg:
+            if self.star_arg:
+                kwarg_check = "unlikely(%s)" % Naming.kwds_cname
+            else:
+                kwarg_check = "%s" % Naming.kwds_cname
+        else:
+            kwarg_check = "unlikely(%s) && unlikely(PyDict_Size(%s) > 0)" % (
+                Naming.kwds_cname, Naming.kwds_cname)
+        code.globalstate.use_utility_code(
+            UtilityCode.load_cached("KeywordStringCheck", "FunctionArguments.c"))
+        code.putln(
+            "if (%s && unlikely(!__Pyx_CheckKeywordStrings(%s, \"%s\", %d))) return %s;" % (
+                kwarg_check, Naming.kwds_cname, self.name,
+                bool(self.starstar_arg), self.error_value()))
+
+        if self.starstar_arg:
+            code.putln("%s = (%s) ? PyDict_Copy(%s) : PyDict_New();" % (
+                    self.starstar_arg.entry.cname,
+                    Naming.kwds_cname,
+                    Naming.kwds_cname))
+            code.putln("if (unlikely(!%s)) return %s;" % (
+                    self.starstar_arg.entry.cname, self.error_value()))
+            self.starstar_arg.entry.xdecref_cleanup = 0
+            code.put_gotref(self.starstar_arg.entry.cname)
+
+        if self.self_in_stararg and not self.target.is_staticmethod:
+            # need to create a new tuple with 'self' inserted as first item
+            code.put("%s = PyTuple_New(PyTuple_GET_SIZE(%s)+1); if (unlikely(!%s)) " % (
+                    self.star_arg.entry.cname,
+                    Naming.args_cname,
+                    self.star_arg.entry.cname))
+            if self.starstar_arg:
+                code.putln("{")
+                code.put_decref_clear(self.starstar_arg.entry.cname, py_object_type)
+                code.putln("return %s;" % self.error_value())
+                code.putln("}")
+            else:
+                code.putln("return %s;" % self.error_value())
+            code.put_gotref(self.star_arg.entry.cname)
+            code.put_incref(Naming.self_cname, py_object_type)
+            code.put_giveref(Naming.self_cname)
+            code.putln("PyTuple_SET_ITEM(%s, 0, %s);" % (
+                self.star_arg.entry.cname, Naming.self_cname))
+            temp = code.funcstate.allocate_temp(PyrexTypes.c_py_ssize_t_type, manage_ref=False)
+            code.putln("for (%s=0; %s < PyTuple_GET_SIZE(%s); %s++) {" % (
+                temp, temp, Naming.args_cname, temp))
+            code.putln("PyObject* item = PyTuple_GET_ITEM(%s, %s);" % (
+                Naming.args_cname, temp))
+            code.put_incref("item", py_object_type)
+            code.put_giveref("item")
+            code.putln("PyTuple_SET_ITEM(%s, %s+1, item);" % (
+                self.star_arg.entry.cname, temp))
+            code.putln("}")
+            code.funcstate.release_temp(temp)
+            self.star_arg.entry.xdecref_cleanup = 0
+        elif self.star_arg:
+            code.put_incref(Naming.args_cname, py_object_type)
+            code.putln("%s = %s;" % (
+                    self.star_arg.entry.cname,
+                    Naming.args_cname))
+            self.star_arg.entry.xdecref_cleanup = 0
+
+    def generate_tuple_and_keyword_parsing_code(self, args, success_label, code):
+        argtuple_error_label = code.new_label("argtuple_error")
+
+        positional_args = []
+        required_kw_only_args = []
+        optional_kw_only_args = []
+        for arg in args:
+            if arg.is_generic:
+                if arg.default:
+                    if not arg.is_self_arg and not arg.is_type_arg:
+                        if arg.kw_only:
+                            optional_kw_only_args.append(arg)
+                        else:
+                            positional_args.append(arg)
+                elif arg.kw_only:
+                    required_kw_only_args.append(arg)
+                elif not arg.is_self_arg and not arg.is_type_arg:
+                    positional_args.append(arg)
+
+        # sort required kw-only args before optional ones to avoid special
+        # cases in the unpacking code
+        kw_only_args = required_kw_only_args + optional_kw_only_args
+
+        min_positional_args = self.num_required_args - self.num_required_kw_args
+        if len(args) > 0 and (args[0].is_self_arg or args[0].is_type_arg):
+            min_positional_args -= 1
+        max_positional_args = len(positional_args)
+        has_fixed_positional_count = not self.star_arg and \
+            min_positional_args == max_positional_args
+        has_kw_only_args = bool(kw_only_args)
+
+        if self.num_required_kw_args:
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("RaiseKeywordRequired", "FunctionArguments.c"))
+
+        if self.starstar_arg or self.star_arg:
+            self.generate_stararg_init_code(max_positional_args, code)
+
+        code.putln('{')
+        all_args = tuple(positional_args) + tuple(kw_only_args)
+        code.putln("static PyObject **%s[] = {%s,0};" % (
+            Naming.pykwdlist_cname,
+            ','.join([ '&%s' % code.intern_identifier(arg.name)
+                        for arg in all_args ])))
+
+        # Before being converted and assigned to the target variables,
+        # borrowed references to all unpacked argument values are
+        # collected into a local PyObject* array called "values",
+        # regardless if they were taken from default arguments,
+        # positional arguments or keyword arguments.  Note that
+        # C-typed default arguments are handled at conversion time,
+        # so their array value is NULL in the end if no argument
+        # was passed for them.
+        self.generate_argument_values_setup_code(all_args, code)
+
+        # --- optimised code when we receive keyword arguments
+        code.putln("if (%s(%s)) {" % (
+            (self.num_required_kw_args > 0) and "likely" or "unlikely",
+            Naming.kwds_cname))
+        self.generate_keyword_unpacking_code(
+            min_positional_args, max_positional_args,
+            has_fixed_positional_count, has_kw_only_args,
+            all_args, argtuple_error_label, code)
+
+        # --- optimised code when we do not receive any keyword arguments
+        if (self.num_required_kw_args and min_positional_args > 0) or min_positional_args == max_positional_args:
+            # Python raises arg tuple related errors first, so we must
+            # check the length here
+            if min_positional_args == max_positional_args and not self.star_arg:
+                compare = '!='
+            else:
+                compare = '<'
+            code.putln('} else if (PyTuple_GET_SIZE(%s) %s %d) {' % (
+                    Naming.args_cname, compare, min_positional_args))
+            code.put_goto(argtuple_error_label)
+
+        if self.num_required_kw_args:
+            # pure error case: keywords required but not passed
+            if max_positional_args > min_positional_args and not self.star_arg:
+                code.putln('} else if (PyTuple_GET_SIZE(%s) > %d) {' % (
+                        Naming.args_cname, max_positional_args))
+                code.put_goto(argtuple_error_label)
+            code.putln('} else {')
+            for i, arg in enumerate(kw_only_args):
+                if not arg.default:
+                    pystring_cname = code.intern_identifier(arg.name)
+                    # required keyword-only argument missing
+                    code.put('__Pyx_RaiseKeywordRequired("%s", %s); ' % (
+                            self.name,
+                            pystring_cname))
+                    code.putln(code.error_goto(self.pos))
+                    break
+
+        else:
+            # optimised tuple unpacking code
+            code.putln('} else {')
+            if min_positional_args == max_positional_args:
+                # parse the exact number of positional arguments from
+                # the args tuple
+                for i, arg in enumerate(positional_args):
+                    code.putln("values[%d] = PyTuple_GET_ITEM(%s, %d);" % (i, Naming.args_cname, i))
+            else:
+                # parse the positional arguments from the variable length
+                # args tuple and reject illegal argument tuple sizes
+                code.putln('switch (PyTuple_GET_SIZE(%s)) {' % Naming.args_cname)
+                if self.star_arg:
+                    code.putln('default:')
+                reversed_args = list(enumerate(positional_args))[::-1]
+                for i, arg in reversed_args:
+                    if i >= min_positional_args-1:
+                        code.put('case %2d: ' % (i+1))
+                    code.putln("values[%d] = PyTuple_GET_ITEM(%s, %d);" % (i, Naming.args_cname, i))
+                if min_positional_args == 0:
+                    code.put('case  0: ')
+                code.putln('break;')
+                if self.star_arg:
+                    if min_positional_args:
+                        for i in range(min_positional_args-1, -1, -1):
+                            code.putln('case %2d:' % i)
+                        code.put_goto(argtuple_error_label)
+                else:
+                    code.put('default: ')
+                    code.put_goto(argtuple_error_label)
+                code.putln('}')
+
+        code.putln('}') # end of the conditional unpacking blocks
+
+        # Convert arg values to their final type and assign them.
+        # Also inject non-Python default arguments, which do cannot
+        # live in the values[] array.
+        for i, arg in enumerate(all_args):
+            self.generate_arg_assignment(arg, "values[%d]" % i, code)
+
+        code.putln('}') # end of the whole argument unpacking block
+
+        if code.label_used(argtuple_error_label):
+            code.put_goto(success_label)
+            code.put_label(argtuple_error_label)
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("RaiseArgTupleInvalid", "FunctionArguments.c"))
+            code.put('__Pyx_RaiseArgtupleInvalid("%s", %d, %d, %d, PyTuple_GET_SIZE(%s)); ' % (
+                    self.name, has_fixed_positional_count,
+                    min_positional_args, max_positional_args,
+                    Naming.args_cname))
+            code.putln(code.error_goto(self.pos))
+
+    def generate_arg_assignment(self, arg, item, code):
+        if arg.type.is_pyobject:
+            # Python default arguments were already stored in 'item' at the very beginning
+            if arg.is_generic:
+                item = PyrexTypes.typecast(arg.type, PyrexTypes.py_object_type, item)
+            entry = arg.entry
+            code.putln("%s = %s;" % (entry.cname, item))
+        else:
+            func = arg.type.from_py_function
+            if func:
+                if arg.default:
+                    # C-typed default arguments must be handled here
+                    code.putln('if (%s) {' % item)
+                rhs = "%s(%s)" % (func, item)
+                if arg.type.is_enum:
+                    rhs = arg.type.cast_code(rhs)
+                code.putln("%s = %s; %s" % (
+                    arg.entry.cname,
+                    rhs,
+                    code.error_goto_if(arg.type.error_condition(arg.entry.cname), arg.pos)))
+                if arg.default:
+                    code.putln('} else {')
+                    code.putln(
+                        "%s = %s;" % (
+                            arg.entry.cname,
+                            arg.calculate_default_value_code(code)))
+                    if arg.type.is_memoryviewslice:
+                        code.put_incref_memoryviewslice(arg.entry.cname,
+                                                        have_gil=True)
+                    code.putln('}')
+            else:
+                error(arg.pos, "Cannot convert Python object argument to type '%s'" % arg.type)
+
+    def generate_stararg_init_code(self, max_positional_args, code):
+        if self.starstar_arg:
+            self.starstar_arg.entry.xdecref_cleanup = 0
+            code.putln('%s = PyDict_New(); if (unlikely(!%s)) return %s;' % (
+                    self.starstar_arg.entry.cname,
+                    self.starstar_arg.entry.cname,
+                    self.error_value()))
+            code.put_gotref(self.starstar_arg.entry.cname)
+        if self.star_arg:
+            self.star_arg.entry.xdecref_cleanup = 0
+            code.putln('if (PyTuple_GET_SIZE(%s) > %d) {' % (
+                    Naming.args_cname,
+                    max_positional_args))
+            code.putln('%s = PyTuple_GetSlice(%s, %d, PyTuple_GET_SIZE(%s));' % (
+                    self.star_arg.entry.cname, Naming.args_cname,
+                    max_positional_args, Naming.args_cname))
+            code.putln("if (unlikely(!%s)) {" % self.star_arg.entry.cname)
+            if self.starstar_arg:
+                code.put_decref_clear(self.starstar_arg.entry.cname, py_object_type)
+            code.put_finish_refcount_context()
+            code.putln('return %s;' % self.error_value())
+            code.putln('}')
+            code.put_gotref(self.star_arg.entry.cname)
+            code.putln('} else {')
+            code.put("%s = %s; " % (self.star_arg.entry.cname, Naming.empty_tuple))
+            code.put_incref(Naming.empty_tuple, py_object_type)
+            code.putln('}')
+
+    def generate_argument_values_setup_code(self, args, code):
+        max_args = len(args)
+        # the 'values' array collects borrowed references to arguments
+        # before doing any type coercion etc.
+        code.putln("PyObject* values[%d] = {%s};" % (
+            max_args, ','.join('0'*max_args)))
+
+        if self.target.defaults_struct:
+            code.putln('%s *%s = __Pyx_CyFunction_Defaults(%s, %s);' % (
+                self.target.defaults_struct, Naming.dynamic_args_cname,
+                self.target.defaults_struct, Naming.self_cname))
+
+        # assign borrowed Python default values to the values array,
+        # so that they can be overwritten by received arguments below
+        for i, arg in enumerate(args):
+            if arg.default and arg.type.is_pyobject:
+                default_value = arg.calculate_default_value_code(code)
+                code.putln('values[%d] = %s;' % (i, arg.type.as_pyobject(default_value)))
+
+    def generate_keyword_unpacking_code(self, min_positional_args, max_positional_args,
+                                        has_fixed_positional_count, has_kw_only_args,
+                                        all_args, argtuple_error_label, code):
+        code.putln('Py_ssize_t kw_args;')
+        code.putln('const Py_ssize_t pos_args = PyTuple_GET_SIZE(%s);' % Naming.args_cname)
+        # copy the values from the args tuple and check that it's not too long
+        code.putln('switch (pos_args) {')
+        if self.star_arg:
+            code.putln('default:')
+        for i in range(max_positional_args-1, -1, -1):
+            code.put('case %2d: ' % (i+1))
+            code.putln("values[%d] = PyTuple_GET_ITEM(%s, %d);" % (
+                    i, Naming.args_cname, i))
+        code.putln('case  0: break;')
+        if not self.star_arg:
+            code.put('default: ') # more arguments than allowed
+            code.put_goto(argtuple_error_label)
+        code.putln('}')
+
+        # The code above is very often (but not always) the same as
+        # the optimised non-kwargs tuple unpacking code, so we keep
+        # the code block above at the very top, before the following
+        # 'external' PyDict_Size() call, to make it easy for the C
+        # compiler to merge the two separate tuple unpacking
+        # implementations into one when they turn out to be identical.
+
+        # If we received kwargs, fill up the positional/required
+        # arguments with values from the kw dict
+        code.putln('kw_args = PyDict_Size(%s);' % Naming.kwds_cname)
+        if self.num_required_args or max_positional_args > 0:
+            last_required_arg = -1
+            for i, arg in enumerate(all_args):
+                if not arg.default:
+                    last_required_arg = i
+            if last_required_arg < max_positional_args:
+                last_required_arg = max_positional_args-1
+            if max_positional_args > 0:
+                code.putln('switch (pos_args) {')
+            for i, arg in enumerate(all_args[:last_required_arg+1]):
+                if max_positional_args > 0 and i <= max_positional_args:
+                    if self.star_arg and i == max_positional_args:
+                        code.putln('default:')
+                    else:
+                        code.putln('case %2d:' % i)
+                pystring_cname = code.intern_identifier(arg.name)
+                if arg.default:
+                    if arg.kw_only:
+                        # optional kw-only args are handled separately below
+                        continue
+                    code.putln('if (kw_args > 0) {')
+                    # don't overwrite default argument
+                    code.putln('PyObject* value = PyDict_GetItem(%s, %s);' % (
+                        Naming.kwds_cname, pystring_cname))
+                    code.putln('if (value) { values[%d] = value; kw_args--; }' % i)
+                    code.putln('}')
+                else:
+                    code.putln('if (likely((values[%d] = PyDict_GetItem(%s, %s)) != 0)) kw_args--;' % (
+                        i, Naming.kwds_cname, pystring_cname))
+                    if i < min_positional_args:
+                        if i == 0:
+                            # special case: we know arg 0 is missing
+                            code.put('else ')
+                            code.put_goto(argtuple_error_label)
+                        else:
+                            # print the correct number of values (args or
+                            # kwargs) that were passed into positional
+                            # arguments up to this point
+                            code.putln('else {')
+                            code.globalstate.use_utility_code(
+                                UtilityCode.load_cached("RaiseArgTupleInvalid", "FunctionArguments.c"))
+                            code.put('__Pyx_RaiseArgtupleInvalid("%s", %d, %d, %d, %d); ' % (
+                                    self.name, has_fixed_positional_count,
+                                    min_positional_args, max_positional_args, i))
+                            code.putln(code.error_goto(self.pos))
+                            code.putln('}')
+                    elif arg.kw_only:
+                        code.putln('else {')
+                        code.put('__Pyx_RaiseKeywordRequired("%s", %s); ' %(
+                                self.name, pystring_cname))
+                        code.putln(code.error_goto(self.pos))
+                        code.putln('}')
+            if max_positional_args > 0:
+                code.putln('}')
+
+        if has_kw_only_args:
+            # unpack optional keyword-only arguments separately because
+            # checking for interned strings in a dict is faster than iterating
+            self.generate_optional_kwonly_args_unpacking_code(all_args, code)
+
+        code.putln('if (unlikely(kw_args > 0)) {')
+        # non-positional/-required kw args left in dict: default args,
+        # kw-only args, **kwargs or error
+        #
+        # This is sort of a catch-all: except for checking required
+        # arguments, this will always do the right thing for unpacking
+        # keyword arguments, so that we can concentrate on optimising
+        # common cases above.
+        if max_positional_args == 0:
+            pos_arg_count = "0"
+        elif self.star_arg:
+            code.putln("const Py_ssize_t used_pos_args = (pos_args < %d) ? pos_args : %d;" % (
+                    max_positional_args, max_positional_args))
+            pos_arg_count = "used_pos_args"
+        else:
+            pos_arg_count = "pos_args"
+        code.globalstate.use_utility_code(
+            UtilityCode.load_cached("ParseKeywords", "FunctionArguments.c"))
+        code.putln(
+            'if (unlikely(__Pyx_ParseOptionalKeywords(%s, %s, %s, values, %s, "%s") < 0)) %s' % (
+                Naming.kwds_cname,
+                Naming.pykwdlist_cname,
+                self.starstar_arg and self.starstar_arg.entry.cname or '0',
+                pos_arg_count,
+                self.name,
+                code.error_goto(self.pos)))
+        code.putln('}')
+
+    def generate_optional_kwonly_args_unpacking_code(self, all_args, code):
+        optional_args = []
+        first_optional_arg = -1
+        for i, arg in enumerate(all_args):
+            if not arg.kw_only or not arg.default:
+                continue
+            if not optional_args:
+                first_optional_arg = i
+            optional_args.append(arg.name)
+        if optional_args:
+            if len(optional_args) > 1:
+                # if we receive more than the named kwargs, we either have **kwargs
+                # (in which case we must iterate anyway) or it's an error (which we
+                # also handle during iteration) => skip this part if there are more
+                code.putln('if (kw_args > 0 && %s(kw_args <= %d)) {' % (
+                    not self.starstar_arg and 'likely' or '',
+                    len(optional_args)))
+                code.putln('Py_ssize_t index;')
+                # not unrolling the loop here reduces the C code overhead
+                code.putln('for (index = %d; index < %d && kw_args > 0; index++) {' % (
+                    first_optional_arg, first_optional_arg + len(optional_args)))
+            else:
+                code.putln('if (kw_args == 1) {')
+                code.putln('const Py_ssize_t index = %d;' % first_optional_arg)
+            code.putln('PyObject* value = PyDict_GetItem(%s, *%s[index]);' % (
+                Naming.kwds_cname, Naming.pykwdlist_cname))
+            code.putln('if (value) { values[index] = value; kw_args--; }')
+            if len(optional_args) > 1:
+                code.putln('}')
+            code.putln('}')
+
+    def generate_argument_conversion_code(self, code):
+        # Generate code to convert arguments from signature type to
+        # declared type, if needed.  Also copies signature arguments
+        # into closure fields.
+        for arg in self.args:
+            if arg.needs_conversion:
+                self.generate_arg_conversion(arg, code)
+
+    def generate_arg_conversion(self, arg, code):
+        # Generate conversion code for one argument.
+        old_type = arg.hdr_type
+        new_type = arg.type
+        if old_type.is_pyobject:
+            if arg.default:
+                code.putln("if (%s) {" % arg.hdr_cname)
+            else:
+                code.putln("assert(%s); {" % arg.hdr_cname)
+            self.generate_arg_conversion_from_pyobject(arg, code)
+            code.putln("}")
+        elif new_type.is_pyobject:
+            self.generate_arg_conversion_to_pyobject(arg, code)
+        else:
+            if new_type.assignable_from(old_type):
+                code.putln(
+                    "%s = %s;" % (arg.entry.cname, arg.hdr_cname))
+            else:
+                error(arg.pos,
+                    "Cannot convert 1 argument from '%s' to '%s'" %
+                        (old_type, new_type))
+
+    def generate_arg_conversion_from_pyobject(self, arg, code):
+        new_type = arg.type
+        func = new_type.from_py_function
+        # copied from CoerceFromPyTypeNode
+        if func:
+            lhs = arg.entry.cname
+            rhs = "%s(%s)" % (func, arg.hdr_cname)
+            if new_type.is_enum:
+                rhs = PyrexTypes.typecast(new_type, PyrexTypes.c_long_type, rhs)
+            code.putln("%s = %s; %s" % (
+                lhs,
+                rhs,
+                code.error_goto_if(new_type.error_condition(arg.entry.cname), arg.pos)))
+        else:
+            error(arg.pos,
+                "Cannot convert Python object argument to type '%s'"
+                    % new_type)
+
+    def generate_arg_conversion_to_pyobject(self, arg, code):
+        old_type = arg.hdr_type
+        func = old_type.to_py_function
+        if func:
+            code.putln("%s = %s(%s); %s" % (
+                arg.entry.cname,
+                func,
+                arg.hdr_cname,
+                code.error_goto_if_null(arg.entry.cname, arg.pos)))
+            code.put_var_gotref(arg.entry)
+        else:
+            error(arg.pos,
+                "Cannot convert argument of type '%s' to Python object"
+                    % old_type)
+
+    def generate_argument_type_tests(self, code):
+        # Generate type tests for args whose signature
+        # type is PyObject * and whose declared type is
+        # a subtype thereof.
+        for arg in self.args:
+            if arg.needs_type_test:
+                self.generate_arg_type_test(arg, code)
+            elif not arg.accept_none and (arg.type.is_pyobject or
+                                          arg.type.is_buffer or
+                                          arg.type.is_memoryviewslice):
+                self.generate_arg_none_check(arg, code)
+
+    def error_value(self):
+        return self.signature.error_value
+
+
+class GeneratorDefNode(DefNode):
+    # Generator function node that creates a new generator instance when called.
+    #
+    # gbody          GeneratorBodyDefNode   the function implementing the generator
+    #
+
+    is_generator = True
+    needs_closure = True
+
+    child_attrs = DefNode.child_attrs + ["gbody"]
+
+    def __init__(self, **kwargs):
+        # XXX: don't actually needs a body
+        kwargs['body'] = StatListNode(kwargs['pos'], stats=[])
+        super(GeneratorDefNode, self).__init__(**kwargs)
+
+    def analyse_declarations(self, env):
+        super(GeneratorDefNode, self).analyse_declarations(env)
+        self.gbody.local_scope = self.local_scope
+        self.gbody.analyse_declarations(env)
+
+    def generate_function_body(self, env, code):
+        body_cname = self.gbody.entry.func_cname
+
+        code.putln('{')
+        code.putln('__pyx_GeneratorObject *gen = __Pyx_Generator_New('
+                   '(__pyx_generator_body_t) %s, (PyObject *) %s); %s' % (
+                       body_cname, Naming.cur_scope_cname,
+                       code.error_goto_if_null('gen', self.pos)))
+        code.put_decref(Naming.cur_scope_cname, py_object_type)
+        if self.requires_classobj:
+            classobj_cname = 'gen->classobj'
+            code.putln('%s = __Pyx_CyFunction_GetClassObj(%s);' % (
+                classobj_cname, Naming.self_cname))
+            code.put_incref(classobj_cname, py_object_type)
+            code.put_giveref(classobj_cname)
+        code.put_finish_refcount_context()
+        code.putln('return (PyObject *) gen;')
+        code.putln('}')
+
+    def generate_function_definitions(self, env, code):
+        env.use_utility_code(UtilityCode.load_cached("Generator", "Generator.c"))
+
+        self.gbody.generate_function_header(code, proto=True)
+        super(GeneratorDefNode, self).generate_function_definitions(env, code)
+        self.gbody.generate_function_definitions(env, code)
+
+
+class GeneratorBodyDefNode(DefNode):
+    # Main code body of a generator implemented as a DefNode.
+    #
+
+    is_generator_body = True
+
+    def __init__(self, pos=None, name=None, body=None):
+        super(GeneratorBodyDefNode, self).__init__(
+            pos=pos, body=body, name=name, doc=None,
+            args=[], star_arg=None, starstar_arg=None)
+
+    def declare_generator_body(self, env):
+        prefix = env.next_id(env.scope_prefix)
+        name = env.next_id('generator')
+        cname = Naming.genbody_prefix + prefix + name
+        entry = env.declare_var(None, py_object_type, self.pos,
+                                cname=cname, visibility='private')
+        entry.func_cname = cname
+        entry.qualified_name = EncodedString(self.name)
+        self.entry = entry
+
+    def analyse_declarations(self, env):
+        self.analyse_argument_types(env)
+        self.declare_generator_body(env)
+
+    def generate_function_header(self, code, proto=False):
+        header = "static PyObject *%s(__pyx_GeneratorObject *%s, PyObject *%s)" % (
+            self.entry.func_cname,
+            Naming.generator_cname,
+            Naming.sent_value_cname)
+        if proto:
+            code.putln('%s; /* proto */' % header)
+        else:
+            code.putln('%s /* generator body */\n{' % header)
+
+    def generate_function_definitions(self, env, code):
+        lenv = self.local_scope
+
+        # Generate closure function definitions
+        self.body.generate_function_definitions(lenv, code)
+
+        # Generate C code for header and body of function
+        code.enter_cfunc_scope()
+        code.return_from_error_cleanup_label = code.new_label()
+
+        # ----- Top-level constants used by this function
+        code.mark_pos(self.pos)
+        self.generate_cached_builtins_decls(lenv, code)
+        # ----- Function header
+        code.putln("")
+        self.generate_function_header(code)
+        closure_init_code = code.insertion_point()
+        # ----- Local variables
+        code.putln("PyObject *%s = NULL;" % Naming.retval_cname)
+        tempvardecl_code = code.insertion_point()
+        code.put_declare_refcount_context()
+        code.put_setup_refcount_context(self.entry.name)
+
+        # ----- Resume switch point.
+        code.funcstate.init_closure_temps(lenv.scope_class.type.scope)
+        resume_code = code.insertion_point()
+        first_run_label = code.new_label('first_run')
+        code.use_label(first_run_label)
+        code.put_label(first_run_label)
+        code.putln('%s' %
+                   (code.error_goto_if_null(Naming.sent_value_cname, self.pos)))
+
+        # ----- Function body
+        self.generate_function_body(env, code)
+        # ----- Closure initialization
+        if lenv.scope_class.type.scope.entries:
+            closure_init_code.putln('%s = %s;' % (
+                lenv.scope_class.type.declaration_code(Naming.cur_scope_cname),
+                lenv.scope_class.type.cast_code('%s->closure' %
+                                                Naming.generator_cname)))
+
+        code.mark_pos(self.pos)
+        code.putln("")
+        code.putln("/* function exit code */")
+
+        # on normal generator termination, we do not take the exception propagation
+        # path: no traceback info is required and not creating it is much faster
+        if not self.body.is_terminator:
+            code.putln('PyErr_SetNone(PyExc_StopIteration);')
+        # ----- Error cleanup
+        if code.error_label in code.labels_used:
+            if not self.body.is_terminator:
+                code.put_goto(code.return_label)
+            code.put_label(code.error_label)
+            for cname, type in code.funcstate.all_managed_temps():
+                code.put_xdecref(cname, type)
+            code.put_add_traceback(self.entry.qualified_name)
+
+        # ----- Non-error return cleanup
+        code.put_label(code.return_label)
+        code.put_xdecref(Naming.retval_cname, py_object_type)
+        code.putln('%s->resume_label = -1;' % Naming.generator_cname)
+        # clean up as early as possible to help breaking any reference cycles
+        code.putln('__Pyx_Generator_clear((PyObject*)%s);' % Naming.generator_cname)
+        code.put_finish_refcount_context()
+        code.putln('return NULL;')
+        code.putln("}")
+
+        # ----- Go back and insert temp variable declarations
+        tempvardecl_code.put_temp_declarations(code.funcstate)
+        # ----- Generator resume code
+        resume_code.putln("switch (%s->resume_label) {" % (
+                       Naming.generator_cname))
+        resume_code.putln("case 0: goto %s;" % first_run_label)
+
+        for i, label in code.yield_labels:
+            resume_code.putln("case %d: goto %s;" % (i, label))
+        resume_code.putln("default: /* CPython raises the right error here */")
+        resume_code.put_finish_refcount_context()
+        resume_code.putln("return NULL;")
+        resume_code.putln("}")
+
+        code.exit_cfunc_scope()
+
+
+class OverrideCheckNode(StatNode):
+    # A Node for dispatching to the def method if it
+    # is overriden.
+    #
+    #  py_func
+    #
+    #  args
+    #  func_temp
+    #  body
+
+    child_attrs = ['body']
+
+    body = None
+
+    def analyse_expressions(self, env):
+        self.args = env.arg_entries
+        if self.py_func.is_module_scope:
+            first_arg = 0
+        else:
+            first_arg = 1
+        import ExprNodes
+        self.func_node = ExprNodes.RawCNameExprNode(self.pos, py_object_type)
+        call_node = ExprNodes.SimpleCallNode(
+            self.pos, function=self.func_node,
+            args=[ ExprNodes.NameNode(self.pos, name=arg.name)
+                   for arg in self.args[first_arg:] ])
+        self.body = ReturnStatNode(self.pos, value=call_node)
+        self.body = self.body.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code):
+        interned_attr_cname = code.intern_identifier(self.py_func.entry.name)
+        # Check to see if we are an extension type
+        if self.py_func.is_module_scope:
+            self_arg = "((PyObject *)%s)" % Naming.module_cname
+        else:
+            self_arg = "((PyObject *)%s)" % self.args[0].cname
+        code.putln("/* Check if called by wrapper */")
+        code.putln("if (unlikely(%s)) ;" % Naming.skip_dispatch_cname)
+        code.putln("/* Check if overridden in Python */")
+        if self.py_func.is_module_scope:
+            code.putln("else {")
+        else:
+            code.putln("else if (unlikely(Py_TYPE(%s)->tp_dictoffset != 0)) {" % self_arg)
+        func_node_temp = code.funcstate.allocate_temp(py_object_type, manage_ref=True)
+        self.func_node.set_cname(func_node_temp)
+        # need to get attribute manually--scope would return cdef method
+        code.globalstate.use_utility_code(
+            UtilityCode.load_cached("PyObjectGetAttrStr", "ObjectHandling.c"))
+        err = code.error_goto_if_null(func_node_temp, self.pos)
+        code.putln("%s = __Pyx_PyObject_GetAttrStr(%s, %s); %s" % (
+            func_node_temp, self_arg, interned_attr_cname, err))
+        code.put_gotref(func_node_temp)
+        is_builtin_function_or_method = "PyCFunction_Check(%s)" % func_node_temp
+        is_overridden = "(PyCFunction_GET_FUNCTION(%s) != (PyCFunction)%s)" % (
+            func_node_temp, self.py_func.entry.func_cname)
+        code.putln("if (!%s || %s) {" % (is_builtin_function_or_method, is_overridden))
+        self.body.generate_execution_code(code)
+        code.putln("}")
+        code.put_decref_clear(func_node_temp, PyrexTypes.py_object_type)
+        code.funcstate.release_temp(func_node_temp)
+        code.putln("}")
+
+class ClassDefNode(StatNode, BlockNode):
+    pass
+
+class PyClassDefNode(ClassDefNode):
+    #  A Python class definition.
+    #
+    #  name     EncodedString   Name of the class
+    #  doc      string or None
+    #  body     StatNode        Attribute definition code
+    #  entry    Symtab.Entry
+    #  scope    PyClassScope
+    #  decorators    [DecoratorNode]        list of decorators or None
+    #
+    #  The following subnodes are constructed internally:
+    #
+    #  dict     DictNode   Class dictionary or Py3 namespace
+    #  classobj ClassNode  Class object
+    #  target   NameNode   Variable to assign class object to
+
+    child_attrs = ["body", "dict", "metaclass", "mkw", "bases", "class_result",
+                   "target", "class_cell", "decorators"]
+    decorators = None
+    class_result = None
+    is_py3_style_class = False  # Python3 style class (kwargs)
+    metaclass = None
+    mkw = None
+
+    def __init__(self, pos, name, bases, doc, body, decorators=None,
+                 keyword_args=None, starstar_arg=None, force_py3_semantics=False):
+        StatNode.__init__(self, pos)
+        self.name = name
+        self.doc = doc
+        self.body = body
+        self.decorators = decorators
+        self.bases = bases
+        import ExprNodes
+        if self.doc and Options.docstrings:
+            doc = embed_position(self.pos, self.doc)
+            doc_node = ExprNodes.StringNode(pos, value=doc)
+        else:
+            doc_node = None
+
+        allow_py2_metaclass = not force_py3_semantics
+        if keyword_args or starstar_arg:
+            allow_py2_metaclass = False
+            self.is_py3_style_class = True
+            if keyword_args and not starstar_arg:
+                for i, item in list(enumerate(keyword_args.key_value_pairs))[::-1]:
+                    if item.key.value == 'metaclass':
+                        if self.metaclass is not None:
+                            error(item.pos, "keyword argument 'metaclass' passed multiple times")
+                        # special case: we already know the metaclass,
+                        # so we don't need to do the "build kwargs,
+                        # find metaclass" dance at runtime
+                        self.metaclass = item.value
+                        del keyword_args.key_value_pairs[i]
+            if starstar_arg:
+                self.mkw = ExprNodes.KeywordArgsNode(
+                    pos, keyword_args=keyword_args and keyword_args.key_value_pairs or [],
+                    starstar_arg=starstar_arg)
+            elif keyword_args.key_value_pairs:
+                self.mkw = keyword_args
+            else:
+                assert self.metaclass is not None
+
+        if force_py3_semantics or self.bases or self.mkw or self.metaclass:
+            if self.metaclass is None:
+                if starstar_arg:
+                    # **kwargs may contain 'metaclass' arg
+                    mkdict = self.mkw
+                else:
+                    mkdict = None
+                if (not mkdict and
+                        self.bases.is_sequence_constructor and
+                        not self.bases.args):
+                    pass  # no base classes => no inherited metaclass
+                else:
+                    self.metaclass = ExprNodes.PyClassMetaclassNode(
+                        pos, mkw=mkdict, bases=self.bases)
+                needs_metaclass_calculation = False
+            else:
+                needs_metaclass_calculation = True
+
+            self.dict = ExprNodes.PyClassNamespaceNode(
+                pos, name=name, doc=doc_node,
+                metaclass=self.metaclass, bases=self.bases, mkw=self.mkw)
+            self.classobj = ExprNodes.Py3ClassNode(
+                pos, name=name,
+                bases=self.bases, dict=self.dict, doc=doc_node,
+                metaclass=self.metaclass, mkw=self.mkw,
+                calculate_metaclass=needs_metaclass_calculation,
+                allow_py2_metaclass=allow_py2_metaclass)
+        else:
+            # no bases, no metaclass => old style class creation
+            self.dict = ExprNodes.DictNode(pos, key_value_pairs=[])
+            self.classobj = ExprNodes.ClassNode(
+                pos, name=name,
+                bases=bases, dict=self.dict, doc=doc_node)
+
+        self.target = ExprNodes.NameNode(pos, name=name)
+        self.class_cell = ExprNodes.ClassCellInjectorNode(self.pos)
+
+    def as_cclass(self):
+        """
+        Return this node as if it were declared as an extension class
+        """
+        if self.is_py3_style_class:
+            error(self.classobj.pos, "Python3 style class could not be represented as C class")
+            return
+        bases = self.classobj.bases.args
+        if len(bases) == 0:
+            base_class_name = None
+            base_class_module = None
+        elif len(bases) == 1:
+            base = bases[0]
+            path = []
+            from ExprNodes import AttributeNode, NameNode
+            while isinstance(base, AttributeNode):
+                path.insert(0, base.attribute)
+                base = base.obj
+            if isinstance(base, NameNode):
+                path.insert(0, base.name)
+                base_class_name = path[-1]
+                if len(path) > 1:
+                    base_class_module = u'.'.join(path[:-1])
+                else:
+                    base_class_module = None
+            else:
+                error(self.classobj.bases.args.pos, "Invalid base class")
+        else:
+            error(self.classobj.bases.args.pos, "C class may only have one base class")
+            return None
+
+        return CClassDefNode(self.pos,
+                             visibility = 'private',
+                             module_name = None,
+                             class_name = self.name,
+                             base_class_module = base_class_module,
+                             base_class_name = base_class_name,
+                             decorators = self.decorators,
+                             body = self.body,
+                             in_pxd = False,
+                             doc = self.doc)
+
+    def create_scope(self, env):
+        genv = env
+        while genv.is_py_class_scope or genv.is_c_class_scope:
+            genv = genv.outer_scope
+        cenv = self.scope = PyClassScope(name = self.name, outer_scope = genv)
+        return cenv
+
+    def analyse_declarations(self, env):
+        class_result = self.classobj
+        if self.decorators:
+            from ExprNodes import SimpleCallNode
+            for decorator in self.decorators[::-1]:
+                class_result = SimpleCallNode(
+                    decorator.pos,
+                    function = decorator.decorator,
+                    args = [class_result])
+            self.decorators = None
+        self.class_result = class_result
+        self.class_result.analyse_declarations(env)
+        self.target.analyse_target_declaration(env)
+        cenv = self.create_scope(env)
+        cenv.directives = env.directives
+        cenv.class_obj_cname = self.target.entry.cname
+        self.body.analyse_declarations(cenv)
+
+    def analyse_expressions(self, env):
+        if self.bases:
+            self.bases = self.bases.analyse_expressions(env)
+        if self.metaclass:
+            self.metaclass = self.metaclass.analyse_expressions(env)
+        if self.mkw:
+            self.mkw = self.mkw.analyse_expressions(env)
+        self.dict = self.dict.analyse_expressions(env)
+        self.class_result = self.class_result.analyse_expressions(env)
+        genv = env.global_scope()
+        cenv = self.scope
+        self.body = self.body.analyse_expressions(cenv)
+        self.target.analyse_target_expression(env, self.classobj)
+        self.class_cell = self.class_cell.analyse_expressions(cenv)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        self.generate_lambda_definitions(self.scope, code)
+        self.body.generate_function_definitions(self.scope, code)
+
+    def generate_execution_code(self, code):
+        code.pyclass_stack.append(self)
+        cenv = self.scope
+        if self.bases:
+            self.bases.generate_evaluation_code(code)
+        if self.mkw:
+            self.mkw.generate_evaluation_code(code)
+        if self.metaclass:
+            self.metaclass.generate_evaluation_code(code)
+        self.dict.generate_evaluation_code(code)
+        cenv.namespace_cname = cenv.class_obj_cname = self.dict.result()
+        self.class_cell.generate_evaluation_code(code)
+        self.body.generate_execution_code(code)
+        self.class_result.generate_evaluation_code(code)
+        self.class_cell.generate_injection_code(
+            code, self.class_result.result())
+        self.class_cell.generate_disposal_code(code)
+        cenv.namespace_cname = cenv.class_obj_cname = self.classobj.result()
+        self.target.generate_assignment_code(self.class_result, code)
+        self.dict.generate_disposal_code(code)
+        self.dict.free_temps(code)
+        if self.metaclass:
+            self.metaclass.generate_disposal_code(code)
+            self.metaclass.free_temps(code)
+        if self.mkw:
+            self.mkw.generate_disposal_code(code)
+            self.mkw.free_temps(code)
+        if self.bases:
+            self.bases.generate_disposal_code(code)
+            self.bases.free_temps(code)
+        code.pyclass_stack.pop()
+
+class CClassDefNode(ClassDefNode):
+    #  An extension type definition.
+    #
+    #  visibility         'private' or 'public' or 'extern'
+    #  typedef_flag       boolean
+    #  api                boolean
+    #  module_name        string or None    For import of extern type objects
+    #  class_name         string            Unqualified name of class
+    #  as_name            string or None    Name to declare as in this scope
+    #  base_class_module  string or None    Module containing the base class
+    #  base_class_name    string or None    Name of the base class
+    #  objstruct_name     string or None    Specified C name of object struct
+    #  typeobj_name       string or None    Specified C name of type object
+    #  in_pxd             boolean           Is in a .pxd file
+    #  decorators         [DecoratorNode]   list of decorators or None
+    #  doc                string or None
+    #  body               StatNode or None
+    #  entry              Symtab.Entry
+    #  base_type          PyExtensionType or None
+    #  buffer_defaults_node DictNode or None Declares defaults for a buffer
+    #  buffer_defaults_pos
+
+    child_attrs = ["body"]
+    buffer_defaults_node = None
+    buffer_defaults_pos = None
+    typedef_flag = False
+    api = False
+    objstruct_name = None
+    typeobj_name = None
+    decorators = None
+    shadow = False
+
+    def buffer_defaults(self, env):
+        if not hasattr(self, '_buffer_defaults'):
+            import Buffer
+            if self.buffer_defaults_node:
+                self._buffer_defaults = Buffer.analyse_buffer_options(
+                    self.buffer_defaults_pos,
+                    env, [], self.buffer_defaults_node,
+                    need_complete=False)
+            else:
+                self._buffer_defaults = None
+        return self._buffer_defaults
+
+    def declare(self, env):
+        if self.module_name and self.visibility != 'extern':
+            module_path = self.module_name.split(".")
+            home_scope = env.find_imported_module(module_path, self.pos)
+            if not home_scope:
+                return None
+        else:
+            home_scope = env
+
+        self.entry = home_scope.declare_c_class(
+            name = self.class_name,
+            pos = self.pos,
+            defining = 0,
+            implementing = 0,
+            module_name = self.module_name,
+            base_type = None,
+            objstruct_cname = self.objstruct_name,
+            typeobj_cname = self.typeobj_name,
+            visibility = self.visibility,
+            typedef_flag = self.typedef_flag,
+            api = self.api,
+            buffer_defaults = self.buffer_defaults(env),
+            shadow = self.shadow)
+
+    def analyse_declarations(self, env):
+        #print "CClassDefNode.analyse_declarations:", self.class_name
+        #print "...visibility =", self.visibility
+        #print "...module_name =", self.module_name
+
+        if env.in_cinclude and not self.objstruct_name:
+            error(self.pos, "Object struct name specification required for "
+                "C class defined in 'extern from' block")
+        if self.decorators:
+            error(self.pos,
+                  "Decorators not allowed on cdef classes (used on type '%s')" % self.class_name)
+        self.base_type = None
+        # Now that module imports are cached, we need to
+        # import the modules for extern classes.
+        if self.module_name:
+            self.module = None
+            for module in env.cimported_modules:
+                if module.name == self.module_name:
+                    self.module = module
+            if self.module is None:
+                self.module = ModuleScope(self.module_name, None, env.context)
+                self.module.has_extern_class = 1
+                env.add_imported_module(self.module)
+
+        if self.base_class_name:
+            if self.base_class_module:
+                base_class_scope = env.find_module(self.base_class_module, self.pos)
+            else:
+                base_class_scope = env
+            if self.base_class_name == 'object':
+                # extension classes are special and don't need to inherit from object
+                if base_class_scope is None or base_class_scope.lookup('object') is None:
+                    self.base_class_name = None
+                    self.base_class_module = None
+                    base_class_scope = None
+            if base_class_scope:
+                base_class_entry = base_class_scope.find(self.base_class_name, self.pos)
+                if base_class_entry:
+                    if not base_class_entry.is_type:
+                        error(self.pos, "'%s' is not a type name" % self.base_class_name)
+                    elif not base_class_entry.type.is_extension_type and \
+                             not (base_class_entry.type.is_builtin_type and
+                                  base_class_entry.type.objstruct_cname):
+                        error(self.pos, "'%s' is not an extension type" % self.base_class_name)
+                    elif not base_class_entry.type.is_complete():
+                        error(self.pos, "Base class '%s' of type '%s' is incomplete" % (
+                            self.base_class_name, self.class_name))
+                    elif base_class_entry.type.scope and base_class_entry.type.scope.directives and \
+                             base_class_entry.type.is_final_type:
+                        error(self.pos, "Base class '%s' of type '%s' is final" % (
+                            self.base_class_name, self.class_name))
+                    elif base_class_entry.type.is_builtin_type and \
+                             base_class_entry.type.name in ('tuple', 'str', 'bytes'):
+                        error(self.pos, "inheritance from PyVarObject types like '%s' is not currently supported"
+                              % base_class_entry.type.name)
+                    else:
+                        self.base_type = base_class_entry.type
+                if env.directives.get('freelist', 0) > 0:
+                    warning(self.pos, "freelists cannot be used on subtypes, only the base class can manage them", 1)
+
+        has_body = self.body is not None
+        if has_body and self.base_type and not self.base_type.scope:
+            # To properly initialize inherited attributes, the base type must
+            # be analysed before this type.
+            self.base_type.defered_declarations.append(lambda : self.analyse_declarations(env))
+            return
+
+        if self.module_name and self.visibility != 'extern':
+            module_path = self.module_name.split(".")
+            home_scope = env.find_imported_module(module_path, self.pos)
+            if not home_scope:
+                return
+        else:
+            home_scope = env
+
+        if self.visibility == 'extern':
+            if (self.module_name == '__builtin__' and
+                self.class_name in Builtin.builtin_types and
+                env.qualified_name[:8] != 'cpython.'): # allow overloaded names for cimporting from cpython
+                warning(self.pos, "%s already a builtin Cython type" % self.class_name, 1)
+
+        self.entry = home_scope.declare_c_class(
+            name = self.class_name,
+            pos = self.pos,
+            defining = has_body and self.in_pxd,
+            implementing = has_body and not self.in_pxd,
+            module_name = self.module_name,
+            base_type = self.base_type,
+            objstruct_cname = self.objstruct_name,
+            typeobj_cname = self.typeobj_name,
+            visibility = self.visibility,
+            typedef_flag = self.typedef_flag,
+            api = self.api,
+            buffer_defaults = self.buffer_defaults(env),
+            shadow = self.shadow)
+
+        if self.shadow:
+            home_scope.lookup(self.class_name).as_variable = self.entry
+        if home_scope is not env and self.visibility == 'extern':
+            env.add_imported_entry(self.class_name, self.entry, self.pos)
+        self.scope = scope = self.entry.type.scope
+        if scope is not None:
+            scope.directives = env.directives
+
+        if self.doc and Options.docstrings:
+            scope.doc = embed_position(self.pos, self.doc)
+
+        if has_body:
+            self.body.analyse_declarations(scope)
+            if self.in_pxd:
+                scope.defined = 1
+            else:
+                scope.implemented = 1
+        env.allocate_vtable_names(self.entry)
+
+        for thunk in self.entry.type.defered_declarations:
+            thunk()
+
+    def analyse_expressions(self, env):
+        if self.body:
+            scope = self.entry.type.scope
+            self.body = self.body.analyse_expressions(scope)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        if self.body:
+            self.generate_lambda_definitions(self.scope, code)
+            self.body.generate_function_definitions(self.scope, code)
+
+    def generate_execution_code(self, code):
+        # This is needed to generate evaluation code for
+        # default values of method arguments.
+        if self.body:
+            self.body.generate_execution_code(code)
+
+    def annotate(self, code):
+        if self.body:
+            self.body.annotate(code)
+
+
+class PropertyNode(StatNode):
+    #  Definition of a property in an extension type.
+    #
+    #  name   string
+    #  doc    EncodedString or None    Doc string
+    #  entry  Symtab.Entry
+    #  body   StatListNode
+
+    child_attrs = ["body"]
+
+    def analyse_declarations(self, env):
+        self.entry = env.declare_property(self.name, self.doc, self.pos)
+        self.entry.scope.directives = env.directives
+        self.body.analyse_declarations(self.entry.scope)
+
+    def analyse_expressions(self, env):
+        self.body = self.body.analyse_expressions(env)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        self.body.generate_function_definitions(env, code)
+
+    def generate_execution_code(self, code):
+        pass
+
+    def annotate(self, code):
+        self.body.annotate(code)
+
+
+class GlobalNode(StatNode):
+    # Global variable declaration.
+    #
+    # names    [string]
+
+    child_attrs = []
+
+    def analyse_declarations(self, env):
+        for name in self.names:
+            env.declare_global(name, self.pos)
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class NonlocalNode(StatNode):
+    # Nonlocal variable declaration via the 'nonlocal' keyword.
+    #
+    # names    [string]
+
+    child_attrs = []
+
+    def analyse_declarations(self, env):
+        for name in self.names:
+            env.declare_nonlocal(name, self.pos)
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class ExprStatNode(StatNode):
+    #  Expression used as a statement.
+    #
+    #  expr   ExprNode
+
+    child_attrs = ["expr"]
+
+    def analyse_declarations(self, env):
+        import ExprNodes
+        if isinstance(self.expr, ExprNodes.GeneralCallNode):
+            func = self.expr.function.as_cython_attribute()
+            if func == u'declare':
+                args, kwds = self.expr.explicit_args_kwds()
+                if len(args):
+                    error(self.expr.pos, "Variable names must be specified.")
+                for var, type_node in kwds.key_value_pairs:
+                    type = type_node.analyse_as_type(env)
+                    if type is None:
+                        error(type_node.pos, "Unknown type")
+                    else:
+                        env.declare_var(var.value, type, var.pos, is_cdef = True)
+                self.__class__ = PassStatNode
+
+    def analyse_expressions(self, env):
+        self.expr.result_is_used = False # hint that .result() may safely be left empty
+        self.expr = self.expr.analyse_expressions(env)
+        return self
+
+    def nogil_check(self, env):
+        if self.expr.type.is_pyobject and self.expr.is_temp:
+            self.gil_error()
+
+    gil_message = "Discarding owned Python object"
+
+    def generate_execution_code(self, code):
+        self.expr.generate_evaluation_code(code)
+        if not self.expr.is_temp and self.expr.result():
+            code.putln("%s;" % self.expr.result())
+        self.expr.generate_disposal_code(code)
+        self.expr.free_temps(code)
+
+    def generate_function_definitions(self, env, code):
+        self.expr.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.expr.annotate(code)
+
+
+class AssignmentNode(StatNode):
+    #  Abstract base class for assignment nodes.
+    #
+    #  The analyse_expressions and generate_execution_code
+    #  phases of assignments are split into two sub-phases
+    #  each, to enable all the right hand sides of a
+    #  parallel assignment to be evaluated before assigning
+    #  to any of the left hand sides.
+
+    def analyse_expressions(self, env):
+        return self.analyse_types(env)
+
+#       def analyse_expressions(self, env):
+#           self.analyse_expressions_1(env)
+#           self.analyse_expressions_2(env)
+
+    def generate_execution_code(self, code):
+        self.generate_rhs_evaluation_code(code)
+        self.generate_assignment_code(code)
+
+
+class SingleAssignmentNode(AssignmentNode):
+    #  The simplest case:
+    #
+    #    a = b
+    #
+    #  lhs      ExprNode      Left hand side
+    #  rhs      ExprNode      Right hand side
+    #  first    bool          Is this guaranteed the first assignment to lhs?
+
+    child_attrs = ["lhs", "rhs"]
+    first = False
+    declaration_only = False
+
+    def analyse_declarations(self, env):
+        import ExprNodes
+
+        # handle declarations of the form x = cython.foo()
+        if isinstance(self.rhs, ExprNodes.CallNode):
+            func_name = self.rhs.function.as_cython_attribute()
+            if func_name:
+                args, kwds = self.rhs.explicit_args_kwds()
+
+                if func_name in ['declare', 'typedef']:
+                    if len(args) > 2 or kwds is not None:
+                        error(self.rhs.pos, "Can only declare one type at a time.")
+                        return
+
+                    type = args[0].analyse_as_type(env)
+                    if type is None:
+                        error(args[0].pos, "Unknown type")
+                        return
+                    lhs = self.lhs
+                    if func_name == 'declare':
+                        if isinstance(lhs, ExprNodes.NameNode):
+                            vars = [(lhs.name, lhs.pos)]
+                        elif isinstance(lhs, ExprNodes.TupleNode):
+                            vars = [(var.name, var.pos) for var in lhs.args]
+                        else:
+                            error(lhs.pos, "Invalid declaration")
+                            return
+                        for var, pos in vars:
+                            env.declare_var(var, type, pos, is_cdef = True)
+                        if len(args) == 2:
+                            # we have a value
+                            self.rhs = args[1]
+                        else:
+                            self.declaration_only = True
+                    else:
+                        self.declaration_only = True
+                        if not isinstance(lhs, ExprNodes.NameNode):
+                            error(lhs.pos, "Invalid declaration.")
+                        env.declare_typedef(lhs.name, type, self.pos, visibility='private')
+
+                elif func_name in ['struct', 'union']:
+                    self.declaration_only = True
+                    if len(args) > 0 or kwds is None:
+                        error(self.rhs.pos, "Struct or union members must be given by name.")
+                        return
+                    members = []
+                    for member, type_node in kwds.key_value_pairs:
+                        type = type_node.analyse_as_type(env)
+                        if type is None:
+                            error(type_node.pos, "Unknown type")
+                        else:
+                            members.append((member.value, type, member.pos))
+                    if len(members) < len(kwds.key_value_pairs):
+                        return
+                    if not isinstance(self.lhs, ExprNodes.NameNode):
+                        error(self.lhs.pos, "Invalid declaration.")
+                    name = self.lhs.name
+                    scope = StructOrUnionScope(name)
+                    env.declare_struct_or_union(name, func_name, scope, False, self.rhs.pos)
+                    for member, type, pos in members:
+                        scope.declare_var(member, type, pos)
+
+                elif func_name == 'fused_type':
+                    # dtype = cython.fused_type(...)
+                    self.declaration_only = True
+                    if kwds:
+                        error(self.rhs.function.pos,
+                              "fused_type does not take keyword arguments")
+
+                    fusednode = FusedTypeNode(self.rhs.pos,
+                                              name = self.lhs.name, types=args)
+                    fusednode.analyse_declarations(env)
+
+        if self.declaration_only:
+            return
+        else:
+            self.lhs.analyse_target_declaration(env)
+
+    def analyse_types(self, env, use_temp = 0):
+        import ExprNodes
+
+        self.rhs = self.rhs.analyse_types(env)
+        self.lhs = self.lhs.analyse_target_types(env)
+        self.lhs.gil_assignment_check(env)
+
+        if self.lhs.memslice_broadcast or self.rhs.memslice_broadcast:
+            self.lhs.memslice_broadcast = True
+            self.rhs.memslice_broadcast = True
+
+        is_index_node = isinstance(self.lhs, ExprNodes.IndexNode)
+        if (is_index_node and not self.rhs.type.is_memoryviewslice and
+            (self.lhs.memslice_slice or self.lhs.is_memslice_copy) and
+            (self.lhs.type.dtype.assignable_from(self.rhs.type) or
+             self.rhs.type.is_pyobject)):
+            # scalar slice assignment
+            self.lhs.is_memslice_scalar_assignment = True
+            dtype = self.lhs.type.dtype
+        else:
+            dtype = self.lhs.type
+
+        rhs = self.rhs.coerce_to(dtype, env)
+        if use_temp or rhs.is_attribute or (
+                not rhs.is_name and not rhs.is_literal and
+                rhs.type.is_pyobject):
+            # things like (cdef) attribute access are not safe (traverses pointers)
+            rhs = rhs.coerce_to_temp(env)
+        elif rhs.type.is_pyobject:
+            rhs = rhs.coerce_to_simple(env)
+        self.rhs = rhs
+        return self
+
+    def generate_rhs_evaluation_code(self, code):
+        self.rhs.generate_evaluation_code(code)
+
+    def generate_assignment_code(self, code):
+        self.lhs.generate_assignment_code(self.rhs, code)
+
+    def generate_function_definitions(self, env, code):
+        self.rhs.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.lhs.annotate(code)
+        self.rhs.annotate(code)
+
+
+class CascadedAssignmentNode(AssignmentNode):
+    #  An assignment with multiple left hand sides:
+    #
+    #    a = b = c
+    #
+    #  lhs_list   [ExprNode]   Left hand sides
+    #  rhs        ExprNode     Right hand sides
+    #
+    #  Used internally:
+    #
+    #  coerced_rhs_list   [ExprNode]   RHS coerced to type of each LHS
+
+    child_attrs = ["lhs_list", "rhs", "coerced_rhs_list"]
+    coerced_rhs_list = None
+
+    def analyse_declarations(self, env):
+        for lhs in self.lhs_list:
+            lhs.analyse_target_declaration(env)
+
+    def analyse_types(self, env, use_temp = 0):
+        from ExprNodes import CloneNode, ProxyNode
+
+        rhs = self.rhs.analyse_types(env)
+        if use_temp or rhs.is_attribute or (
+                not rhs.is_name and not rhs.is_literal and
+                rhs.type.is_pyobject):
+            rhs = rhs.coerce_to_temp(env)
+        else:
+            rhs = rhs.coerce_to_simple(env)
+        self.rhs = ProxyNode(rhs)
+
+        self.coerced_rhs_list = []
+        for lhs in self.lhs_list:
+            lhs.analyse_target_types(env)
+            lhs.gil_assignment_check(env)
+            rhs = CloneNode(self.rhs)
+            rhs = rhs.coerce_to(lhs.type, env)
+            self.coerced_rhs_list.append(rhs)
+        return self
+
+    def generate_rhs_evaluation_code(self, code):
+        self.rhs.generate_evaluation_code(code)
+
+    def generate_assignment_code(self, code):
+        for i in range(len(self.lhs_list)):
+            lhs = self.lhs_list[i]
+            rhs = self.coerced_rhs_list[i]
+            rhs.generate_evaluation_code(code)
+            lhs.generate_assignment_code(rhs, code)
+            # Assignment has disposed of the cloned RHS
+        self.rhs.generate_disposal_code(code)
+        self.rhs.free_temps(code)
+
+    def generate_function_definitions(self, env, code):
+        self.rhs.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        for i in range(len(self.lhs_list)):
+            self.lhs_list[i].annotate(code)
+            self.coerced_rhs_list[i].annotate(code)
+        self.rhs.annotate(code)
+
+
+class ParallelAssignmentNode(AssignmentNode):
+    #  A combined packing/unpacking assignment:
+    #
+    #    a, b, c =  d, e, f
+    #
+    #  This has been rearranged by the parser into
+    #
+    #    a = d ; b = e ; c = f
+    #
+    #  but we must evaluate all the right hand sides
+    #  before assigning to any of the left hand sides.
+    #
+    #  stats     [AssignmentNode]   The constituent assignments
+
+    child_attrs = ["stats"]
+
+    def analyse_declarations(self, env):
+        for stat in self.stats:
+            stat.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.stats = [ stat.analyse_types(env, use_temp = 1)
+                       for stat in self.stats ]
+        return self
+
+#    def analyse_expressions(self, env):
+#        for stat in self.stats:
+#            stat.analyse_expressions_1(env, use_temp = 1)
+#        for stat in self.stats:
+#            stat.analyse_expressions_2(env)
+
+    def generate_execution_code(self, code):
+        for stat in self.stats:
+            stat.generate_rhs_evaluation_code(code)
+        for stat in self.stats:
+            stat.generate_assignment_code(code)
+
+    def generate_function_definitions(self, env, code):
+        for stat in self.stats:
+            stat.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        for stat in self.stats:
+            stat.annotate(code)
+
+
+class InPlaceAssignmentNode(AssignmentNode):
+    #  An in place arithmetic operand:
+    #
+    #    a += b
+    #    a -= b
+    #    ...
+    #
+    #  lhs      ExprNode      Left hand side
+    #  rhs      ExprNode      Right hand side
+    #  operator char          one of "+-*/%^&|"
+    #
+    #  This code is a bit tricky because in order to obey Python
+    #  semantics the sub-expressions (e.g. indices) of the lhs must
+    #  not be evaluated twice. So we must re-use the values calculated
+    #  in evaluation phase for the assignment phase as well.
+    #  Fortunately, the type of the lhs node is fairly constrained
+    #  (it must be a NameNode, AttributeNode, or IndexNode).
+
+    child_attrs = ["lhs", "rhs"]
+
+    def analyse_declarations(self, env):
+        self.lhs.analyse_target_declaration(env)
+
+    def analyse_types(self, env):
+        self.rhs = self.rhs.analyse_types(env)
+        self.lhs = self.lhs.analyse_target_types(env)
+
+        # When assigning to a fully indexed buffer or memoryview, coerce the rhs
+        if (self.lhs.is_subscript and
+                (self.lhs.memslice_index or self.lhs.is_buffer_access)):
+            self.rhs = self.rhs.coerce_to(self.lhs.type, env)
+        elif self.lhs.type.is_string and self.operator in '+-':
+            # use pointer arithmetic for char* LHS instead of string concat
+            self.rhs = self.rhs.coerce_to(PyrexTypes.c_py_ssize_t_type, env)
+        return self
+
+    def generate_execution_code(self, code):
+        self.rhs.generate_evaluation_code(code)
+        self.lhs.generate_subexpr_evaluation_code(code)
+        c_op = self.operator
+        if c_op == "//":
+            c_op = "/"
+        elif c_op == "**":
+            error(self.pos, "No C inplace power operator")
+        if self.lhs.is_subscript and self.lhs.is_buffer_access:
+            if self.lhs.type.is_pyobject:
+                error(self.pos, "In-place operators not allowed on object buffers in this release.")
+            if (c_op in ('/', '%') and self.lhs.type.is_int
+                and not code.globalstate.directives['cdivision']):
+                error(self.pos, "In-place non-c divide operators not allowed on int buffers.")
+            self.lhs.generate_buffer_setitem_code(self.rhs, code, c_op)
+        else:
+            # C++
+            # TODO: make sure overload is declared
+            code.putln("%s %s= %s;" % (self.lhs.result(), c_op, self.rhs.result()))
+        self.lhs.generate_subexpr_disposal_code(code)
+        self.lhs.free_subexpr_temps(code)
+        self.rhs.generate_disposal_code(code)
+        self.rhs.free_temps(code)
+
+    def annotate(self, code):
+        self.lhs.annotate(code)
+        self.rhs.annotate(code)
+
+    def create_binop_node(self):
+        import ExprNodes
+        return ExprNodes.binop_node(self.pos, self.operator, self.lhs, self.rhs)
+
+
+class PrintStatNode(StatNode):
+    #  print statement
+    #
+    #  arg_tuple         TupleNode
+    #  stream            ExprNode or None (stdout)
+    #  append_newline    boolean
+
+    child_attrs = ["arg_tuple", "stream"]
+
+    def analyse_expressions(self, env):
+        if self.stream:
+            stream = self.stream.analyse_expressions(env)
+            self.stream = stream.coerce_to_pyobject(env)
+        arg_tuple = self.arg_tuple.analyse_expressions(env)
+        self.arg_tuple = arg_tuple.coerce_to_pyobject(env)
+        env.use_utility_code(printing_utility_code)
+        if len(self.arg_tuple.args) == 1 and self.append_newline:
+            env.use_utility_code(printing_one_utility_code)
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Python print statement"
+
+    def generate_execution_code(self, code):
+        if self.stream:
+            self.stream.generate_evaluation_code(code)
+            stream_result = self.stream.py_result()
+        else:
+            stream_result = '0'
+        if len(self.arg_tuple.args) == 1 and self.append_newline:
+            arg = self.arg_tuple.args[0]
+            arg.generate_evaluation_code(code)
+
+            code.putln(
+                "if (__Pyx_PrintOne(%s, %s) < 0) %s" % (
+                    stream_result,
+                    arg.py_result(),
+                    code.error_goto(self.pos)))
+            arg.generate_disposal_code(code)
+            arg.free_temps(code)
+        else:
+            self.arg_tuple.generate_evaluation_code(code)
+            code.putln(
+                "if (__Pyx_Print(%s, %s, %d) < 0) %s" % (
+                    stream_result,
+                    self.arg_tuple.py_result(),
+                    self.append_newline,
+                    code.error_goto(self.pos)))
+            self.arg_tuple.generate_disposal_code(code)
+            self.arg_tuple.free_temps(code)
+
+        if self.stream:
+            self.stream.generate_disposal_code(code)
+            self.stream.free_temps(code)
+
+    def generate_function_definitions(self, env, code):
+        if self.stream:
+            self.stream.generate_function_definitions(env, code)
+        self.arg_tuple.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        if self.stream:
+            self.stream.annotate(code)
+        self.arg_tuple.annotate(code)
+
+
+class ExecStatNode(StatNode):
+    #  exec statement
+    #
+    #  args     [ExprNode]
+
+    child_attrs = ["args"]
+
+    def analyse_expressions(self, env):
+        for i, arg in enumerate(self.args):
+            arg = arg.analyse_expressions(env)
+            arg = arg.coerce_to_pyobject(env)
+            self.args[i] = arg
+        env.use_utility_code(Builtin.pyexec_utility_code)
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Python exec statement"
+
+    def generate_execution_code(self, code):
+        args = []
+        for arg in self.args:
+            arg.generate_evaluation_code(code)
+            args.append( arg.py_result() )
+        args = tuple(args + ['0', '0'][:3-len(args)])
+        temp_result = code.funcstate.allocate_temp(PyrexTypes.py_object_type, manage_ref=True)
+        code.putln("%s = __Pyx_PyExec3(%s, %s, %s);" % (
+                (temp_result,) + args))
+        for arg in self.args:
+            arg.generate_disposal_code(code)
+            arg.free_temps(code)
+        code.putln(
+            code.error_goto_if_null(temp_result, self.pos))
+        code.put_gotref(temp_result)
+        code.put_decref_clear(temp_result, py_object_type)
+        code.funcstate.release_temp(temp_result)
+
+    def annotate(self, code):
+        for arg in self.args:
+            arg.annotate(code)
+
+
+class DelStatNode(StatNode):
+    #  del statement
+    #
+    #  args     [ExprNode]
+
+    child_attrs = ["args"]
+    ignore_nonexisting = False
+
+    def analyse_declarations(self, env):
+        for arg in self.args:
+            arg.analyse_target_declaration(env)
+
+    def analyse_expressions(self, env):
+        for i, arg in enumerate(self.args):
+            arg = self.args[i] = arg.analyse_target_expression(env, None)
+            if arg.type.is_pyobject or (arg.is_name and
+                                        arg.type.is_memoryviewslice):
+                if arg.is_name and arg.entry.is_cglobal:
+                    error(arg.pos, "Deletion of global C variable")
+            elif arg.type.is_ptr and arg.type.base_type.is_cpp_class:
+                self.cpp_check(env)
+            elif arg.type.is_cpp_class:
+                error(arg.pos, "Deletion of non-heap C++ object")
+            elif arg.is_subscript and arg.base.type is Builtin.bytearray_type:
+                pass  # del ba[i]
+            else:
+                error(arg.pos, "Deletion of non-Python, non-C++ object")
+            #arg.release_target_temp(env)
+        return self
+
+    def nogil_check(self, env):
+        for arg in self.args:
+            if arg.type.is_pyobject:
+                self.gil_error()
+
+    gil_message = "Deleting Python object"
+
+    def generate_execution_code(self, code):
+        for arg in self.args:
+            if (arg.type.is_pyobject or
+                    arg.type.is_memoryviewslice or
+                    arg.is_subscript and arg.base.type is Builtin.bytearray_type):
+                arg.generate_deletion_code(
+                    code, ignore_nonexisting=self.ignore_nonexisting)
+            elif arg.type.is_ptr and arg.type.base_type.is_cpp_class:
+                arg.generate_result_code(code)
+                code.putln("delete %s;" % arg.result())
+            # else error reported earlier
+
+    def annotate(self, code):
+        for arg in self.args:
+            arg.annotate(code)
+
+
+class PassStatNode(StatNode):
+    #  pass statement
+
+    child_attrs = []
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class IndirectionNode(StatListNode):
+    """
+    This adds an indirection so that the node can be shared and a subtree can
+    be removed at any time by clearing self.stats.
+    """
+
+    def __init__(self, stats):
+        super(IndirectionNode, self).__init__(stats[0].pos, stats=stats)
+
+class BreakStatNode(StatNode):
+
+    child_attrs = []
+    is_terminator = True
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        if not code.break_label:
+            error(self.pos, "break statement not inside loop")
+        else:
+            code.put_goto(code.break_label)
+
+
+class ContinueStatNode(StatNode):
+
+    child_attrs = []
+    is_terminator = True
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        if code.funcstate.in_try_finally:
+            error(self.pos, "continue statement inside try of try...finally")
+        elif not code.continue_label:
+            error(self.pos, "continue statement not inside loop")
+        else:
+            code.put_goto(code.continue_label)
+
+
+class ReturnStatNode(StatNode):
+    #  return statement
+    #
+    #  value         ExprNode or None
+    #  return_type   PyrexType
+    #  in_generator  return inside of generator => raise StopIteration
+
+    child_attrs = ["value"]
+    is_terminator = True
+    in_generator = False
+
+    # Whether we are in a parallel section
+    in_parallel = False
+
+    def analyse_expressions(self, env):
+        return_type = env.return_type
+        self.return_type = return_type
+        if not return_type:
+            error(self.pos, "Return not inside a function body")
+            return self
+        if self.value:
+            self.value = self.value.analyse_types(env)
+            if return_type.is_void or return_type.is_returncode:
+                error(self.value.pos,
+                    "Return with value in void function")
+            else:
+                self.value = self.value.coerce_to(env.return_type, env)
+        else:
+            if (not return_type.is_void
+                and not return_type.is_pyobject
+                and not return_type.is_returncode):
+                    error(self.pos, "Return value required")
+        return self
+
+    def nogil_check(self, env):
+        if self.return_type.is_pyobject:
+            self.gil_error()
+
+    gil_message = "Returning Python object"
+
+    def generate_execution_code(self, code):
+        code.mark_pos(self.pos)
+        if not self.return_type:
+            # error reported earlier
+            return
+        if self.return_type.is_pyobject:
+            code.put_xdecref(Naming.retval_cname,
+                             self.return_type)
+
+        if self.value:
+            self.value.generate_evaluation_code(code)
+            if self.return_type.is_memoryviewslice:
+                import MemoryView
+                MemoryView.put_acquire_memoryviewslice(
+                        lhs_cname=Naming.retval_cname,
+                        lhs_type=self.return_type,
+                        lhs_pos=self.value.pos,
+                        rhs=self.value,
+                        code=code,
+                        have_gil=self.in_nogil_context)
+            elif self.in_generator:
+                # return value == raise StopIteration(value), but uncatchable
+                code.putln(
+                    "%s = NULL; PyErr_SetObject(PyExc_StopIteration, %s);" % (
+                        Naming.retval_cname,
+                        self.value.result_as(self.return_type)))
+                self.value.generate_disposal_code(code)
+            else:
+                self.value.make_owned_reference(code)
+                code.putln(
+                    "%s = %s;" % (
+                        Naming.retval_cname,
+                        self.value.result_as(self.return_type)))
+            self.value.generate_post_assignment_code(code)
+            self.value.free_temps(code)
+        else:
+            if self.return_type.is_pyobject:
+                code.put_init_to_py_none(Naming.retval_cname, self.return_type)
+            elif self.return_type.is_returncode:
+                self.put_return(code, self.return_type.default_value)
+
+        for cname, type in code.funcstate.temps_holding_reference():
+            code.put_decref_clear(cname, type)
+
+        code.put_goto(code.return_label)
+
+    def put_return(self, code, value):
+        if self.in_parallel:
+            code.putln_openmp("#pragma omp critical(__pyx_returning)")
+        code.putln("%s = %s;" % (Naming.retval_cname, value))
+
+    def generate_function_definitions(self, env, code):
+        if self.value is not None:
+            self.value.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        if self.value:
+            self.value.annotate(code)
+
+
+class RaiseStatNode(StatNode):
+    #  raise statement
+    #
+    #  exc_type    ExprNode or None
+    #  exc_value   ExprNode or None
+    #  exc_tb      ExprNode or None
+    #  cause       ExprNode or None
+
+    child_attrs = ["exc_type", "exc_value", "exc_tb", "cause"]
+    is_terminator = True
+
+    def analyse_expressions(self, env):
+        if self.exc_type:
+            exc_type = self.exc_type.analyse_types(env)
+            self.exc_type = exc_type.coerce_to_pyobject(env)
+        if self.exc_value:
+            exc_value = self.exc_value.analyse_types(env)
+            self.exc_value = exc_value.coerce_to_pyobject(env)
+        if self.exc_tb:
+            exc_tb = self.exc_tb.analyse_types(env)
+            self.exc_tb = exc_tb.coerce_to_pyobject(env)
+        if self.cause:
+            cause = self.cause.analyse_types(env)
+            self.cause = cause.coerce_to_pyobject(env)
+        # special cases for builtin exceptions
+        self.builtin_exc_name = None
+        if self.exc_type and not self.exc_value and not self.exc_tb:
+            exc = self.exc_type
+            import ExprNodes
+            if (isinstance(exc, ExprNodes.SimpleCallNode) and
+                not (exc.args or (exc.arg_tuple is not None and
+                                  exc.arg_tuple.args))):
+                exc = exc.function # extract the exception type
+            if exc.is_name and exc.entry.is_builtin:
+                self.builtin_exc_name = exc.name
+                if self.builtin_exc_name == 'MemoryError':
+                    self.exc_type = None # has a separate implementation
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Raising exception"
+
+    def generate_execution_code(self, code):
+        if self.builtin_exc_name == 'MemoryError':
+            code.putln('PyErr_NoMemory(); %s' % code.error_goto(self.pos))
+            return
+
+        if self.exc_type:
+            self.exc_type.generate_evaluation_code(code)
+            type_code = self.exc_type.py_result()
+        else:
+            type_code = "0"
+        if self.exc_value:
+            self.exc_value.generate_evaluation_code(code)
+            value_code = self.exc_value.py_result()
+        else:
+            value_code = "0"
+        if self.exc_tb:
+            self.exc_tb.generate_evaluation_code(code)
+            tb_code = self.exc_tb.py_result()
+        else:
+            tb_code = "0"
+        if self.cause:
+            self.cause.generate_evaluation_code(code)
+            cause_code = self.cause.py_result()
+        else:
+            cause_code = "0"
+        code.globalstate.use_utility_code(raise_utility_code)
+        code.putln(
+            "__Pyx_Raise(%s, %s, %s, %s);" % (
+                type_code,
+                value_code,
+                tb_code,
+                cause_code))
+        for obj in (self.exc_type, self.exc_value, self.exc_tb, self.cause):
+            if obj:
+                obj.generate_disposal_code(code)
+                obj.free_temps(code)
+        code.putln(
+            code.error_goto(self.pos))
+
+    def generate_function_definitions(self, env, code):
+        if self.exc_type is not None:
+            self.exc_type.generate_function_definitions(env, code)
+        if self.exc_value is not None:
+            self.exc_value.generate_function_definitions(env, code)
+        if self.exc_tb is not None:
+            self.exc_tb.generate_function_definitions(env, code)
+        if self.cause is not None:
+            self.cause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        if self.exc_type:
+            self.exc_type.annotate(code)
+        if self.exc_value:
+            self.exc_value.annotate(code)
+        if self.exc_tb:
+            self.exc_tb.annotate(code)
+        if self.cause:
+            self.cause.annotate(code)
+
+
+class ReraiseStatNode(StatNode):
+
+    child_attrs = []
+    is_terminator = True
+
+    def analyse_expressions(self, env):
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Raising exception"
+
+    def generate_execution_code(self, code):
+        vars = code.funcstate.exc_vars
+        if vars:
+            code.globalstate.use_utility_code(restore_exception_utility_code)
+            code.put_giveref(vars[0])
+            code.put_giveref(vars[1])
+            # fresh exceptions may not have a traceback yet (-> finally!)
+            code.put_xgiveref(vars[2])
+            code.putln("__Pyx_ErrRestore(%s, %s, %s);" % tuple(vars))
+            for varname in vars:
+                code.put("%s = 0; " % varname)
+            code.putln()
+            code.putln(code.error_goto(self.pos))
+        else:
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("ReRaiseException", "Exceptions.c"))
+            code.putln("__Pyx_ReraiseException(); %s" % code.error_goto(self.pos))
+
+class AssertStatNode(StatNode):
+    #  assert statement
+    #
+    #  cond    ExprNode
+    #  value   ExprNode or None
+
+    child_attrs = ["cond", "value"]
+
+    def analyse_expressions(self, env):
+        self.cond = self.cond.analyse_boolean_expression(env)
+        if self.value:
+            value = self.value.analyse_types(env)
+            if value.type is Builtin.tuple_type or not value.type.is_builtin_type:
+                # prevent tuple values from being interpreted as argument value tuples
+                from ExprNodes import TupleNode
+                value = TupleNode(value.pos, args=[value], slow=True)
+                self.value = value.analyse_types(env, skip_children=True)
+            else:
+                self.value = value.coerce_to_pyobject(env)
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Raising exception"
+
+    def generate_execution_code(self, code):
+        code.putln("#ifndef CYTHON_WITHOUT_ASSERTIONS")
+        code.putln("if (unlikely(!Py_OptimizeFlag)) {")
+        self.cond.generate_evaluation_code(code)
+        code.putln(
+            "if (unlikely(!%s)) {" %
+                self.cond.result())
+        if self.value:
+            self.value.generate_evaluation_code(code)
+            code.putln(
+                "PyErr_SetObject(PyExc_AssertionError, %s);" %
+                    self.value.py_result())
+            self.value.generate_disposal_code(code)
+            self.value.free_temps(code)
+        else:
+            code.putln(
+                "PyErr_SetNone(PyExc_AssertionError);")
+        code.putln(
+                code.error_goto(self.pos))
+        code.putln(
+            "}")
+        self.cond.generate_disposal_code(code)
+        self.cond.free_temps(code)
+        code.putln(
+            "}")
+        code.putln("#endif")
+
+    def generate_function_definitions(self, env, code):
+        self.cond.generate_function_definitions(env, code)
+        if self.value is not None:
+            self.value.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.cond.annotate(code)
+        if self.value:
+            self.value.annotate(code)
+
+
+class IfStatNode(StatNode):
+    #  if statement
+    #
+    #  if_clauses   [IfClauseNode]
+    #  else_clause  StatNode or None
+
+    child_attrs = ["if_clauses", "else_clause"]
+
+    def analyse_declarations(self, env):
+        for if_clause in self.if_clauses:
+            if_clause.analyse_declarations(env)
+        if self.else_clause:
+            self.else_clause.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.if_clauses = [ if_clause.analyse_expressions(env)
+                            for if_clause in self.if_clauses ]
+        if self.else_clause:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code):
+        code.mark_pos(self.pos)
+        end_label = code.new_label()
+        for if_clause in self.if_clauses:
+            if_clause.generate_execution_code(code, end_label)
+        if self.else_clause:
+            code.putln("/*else*/ {")
+            self.else_clause.generate_execution_code(code)
+            code.putln("}")
+        code.put_label(end_label)
+
+    def generate_function_definitions(self, env, code):
+        for clause in self.if_clauses:
+            clause.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        for if_clause in self.if_clauses:
+            if_clause.annotate(code)
+        if self.else_clause:
+            self.else_clause.annotate(code)
+
+
+class IfClauseNode(Node):
+    #  if or elif clause in an if statement
+    #
+    #  condition   ExprNode
+    #  body        StatNode
+
+    child_attrs = ["condition", "body"]
+
+    def analyse_declarations(self, env):
+        self.body.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.condition = \
+            self.condition.analyse_temp_boolean_expression(env)
+        self.body = self.body.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code, end_label):
+        self.condition.generate_evaluation_code(code)
+        code.putln(
+            "if (%s) {" %
+                self.condition.result())
+        self.condition.generate_disposal_code(code)
+        self.condition.free_temps(code)
+        self.body.generate_execution_code(code)
+        if not self.body.is_terminator:
+            code.put_goto(end_label)
+        code.putln("}")
+
+    def generate_function_definitions(self, env, code):
+        self.condition.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.condition.annotate(code)
+        self.body.annotate(code)
+
+
+class SwitchCaseNode(StatNode):
+    # Generated in the optimization of an if-elif-else node
+    #
+    # conditions    [ExprNode]
+    # body          StatNode
+
+    child_attrs = ['conditions', 'body']
+
+    def generate_execution_code(self, code):
+        for cond in self.conditions:
+            code.mark_pos(cond.pos)
+            cond.generate_evaluation_code(code)
+            code.putln("case %s:" % cond.result())
+        self.body.generate_execution_code(code)
+        code.putln("break;")
+
+    def generate_function_definitions(self, env, code):
+        for cond in self.conditions:
+            cond.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        for cond in self.conditions:
+            cond.annotate(code)
+        self.body.annotate(code)
+
+class SwitchStatNode(StatNode):
+    # Generated in the optimization of an if-elif-else node
+    #
+    # test          ExprNode
+    # cases         [SwitchCaseNode]
+    # else_clause   StatNode or None
+
+    child_attrs = ['test', 'cases', 'else_clause']
+
+    def generate_execution_code(self, code):
+        self.test.generate_evaluation_code(code)
+        code.putln("switch (%s) {" % self.test.result())
+        for case in self.cases:
+            case.generate_execution_code(code)
+        if self.else_clause is not None:
+            code.putln("default:")
+            self.else_clause.generate_execution_code(code)
+            code.putln("break;")
+        else:
+            # Always generate a default clause to prevent C compiler warnings
+            # about unmatched enum values (it was not the user who decided to
+            # generate the switch statement, so shouldn't be bothered).
+            code.putln("default: break;")
+        code.putln("}")
+
+    def generate_function_definitions(self, env, code):
+        self.test.generate_function_definitions(env, code)
+        for case in self.cases:
+            case.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.test.annotate(code)
+        for case in self.cases:
+            case.annotate(code)
+        if self.else_clause is not None:
+            self.else_clause.annotate(code)
+
+class LoopNode(object):
+    pass
+
+
+class WhileStatNode(LoopNode, StatNode):
+    #  while statement
+    #
+    #  condition    ExprNode
+    #  body         StatNode
+    #  else_clause  StatNode
+
+    child_attrs = ["condition", "body", "else_clause"]
+
+    def analyse_declarations(self, env):
+        self.body.analyse_declarations(env)
+        if self.else_clause:
+            self.else_clause.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        if self.condition:
+            self.condition = self.condition.analyse_temp_boolean_expression(env)
+        self.body = self.body.analyse_expressions(env)
+        if self.else_clause:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code):
+        old_loop_labels = code.new_loop_labels()
+        code.putln(
+            "while (1) {")
+        if self.condition:
+            self.condition.generate_evaluation_code(code)
+            self.condition.generate_disposal_code(code)
+            code.putln(
+                "if (!%s) break;" %
+                    self.condition.result())
+            self.condition.free_temps(code)
+        self.body.generate_execution_code(code)
+        code.put_label(code.continue_label)
+        code.putln("}")
+        break_label = code.break_label
+        code.set_loop_labels(old_loop_labels)
+        if self.else_clause:
+            code.mark_pos(self.else_clause.pos)
+            code.putln("/*else*/ {")
+            self.else_clause.generate_execution_code(code)
+            code.putln("}")
+        code.put_label(break_label)
+
+    def generate_function_definitions(self, env, code):
+        if self.condition:
+            self.condition.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        if self.condition:
+            self.condition.annotate(code)
+        self.body.annotate(code)
+        if self.else_clause:
+            self.else_clause.annotate(code)
+
+
+class DictIterationNextNode(Node):
+    # Helper node for calling PyDict_Next() inside of a WhileStatNode
+    # and checking the dictionary size for changes.  Created in
+    # Optimize.py.
+    child_attrs = ['dict_obj', 'expected_size', 'pos_index_var',
+                   'coerced_key_var', 'coerced_value_var', 'coerced_tuple_var',
+                   'key_target', 'value_target', 'tuple_target', 'is_dict_flag']
+
+    coerced_key_var = key_ref = None
+    coerced_value_var = value_ref = None
+    coerced_tuple_var = tuple_ref = None
+
+    def __init__(self, dict_obj, expected_size, pos_index_var,
+                 key_target, value_target, tuple_target, is_dict_flag):
+        Node.__init__(
+            self, dict_obj.pos,
+            dict_obj = dict_obj,
+            expected_size = expected_size,
+            pos_index_var = pos_index_var,
+            key_target = key_target,
+            value_target = value_target,
+            tuple_target = tuple_target,
+            is_dict_flag = is_dict_flag,
+            is_temp = True,
+            type = PyrexTypes.c_bint_type)
+
+    def analyse_expressions(self, env):
+        import ExprNodes
+        self.dict_obj = self.dict_obj.analyse_types(env)
+        self.expected_size = self.expected_size.analyse_types(env)
+        if self.pos_index_var:
+            self.pos_index_var = self.pos_index_var.analyse_types(env)
+        if self.key_target:
+            self.key_target = self.key_target.analyse_target_types(env)
+            self.key_ref = ExprNodes.TempNode(self.key_target.pos, PyrexTypes.py_object_type)
+            self.coerced_key_var = self.key_ref.coerce_to(self.key_target.type, env)
+        if self.value_target:
+            self.value_target = self.value_target.analyse_target_types(env)
+            self.value_ref = ExprNodes.TempNode(self.value_target.pos, type=PyrexTypes.py_object_type)
+            self.coerced_value_var = self.value_ref.coerce_to(self.value_target.type, env)
+        if self.tuple_target:
+            self.tuple_target = self.tuple_target.analyse_target_types(env)
+            self.tuple_ref = ExprNodes.TempNode(self.tuple_target.pos, PyrexTypes.py_object_type)
+            self.coerced_tuple_var = self.tuple_ref.coerce_to(self.tuple_target.type, env)
+        self.is_dict_flag = self.is_dict_flag.analyse_types(env)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        self.dict_obj.generate_function_definitions(env, code)
+
+    def generate_execution_code(self, code):
+        code.globalstate.use_utility_code(UtilityCode.load_cached("dict_iter", "Optimize.c"))
+        self.dict_obj.generate_evaluation_code(code)
+
+        assignments = []
+        temp_addresses = []
+        for var, result, target in [(self.key_ref, self.coerced_key_var, self.key_target),
+                                    (self.value_ref, self.coerced_value_var, self.value_target),
+                                    (self.tuple_ref, self.coerced_tuple_var, self.tuple_target)]:
+            if target is None:
+                addr = 'NULL'
+            else:
+                assignments.append((var, result, target))
+                var.allocate(code)
+                addr = '&%s' % var.result()
+            temp_addresses.append(addr)
+
+        result_temp = code.funcstate.allocate_temp(PyrexTypes.c_int_type, False)
+        code.putln("%s = __Pyx_dict_iter_next(%s, %s, &%s, %s, %s, %s, %s);" % (
+            result_temp,
+            self.dict_obj.py_result(),
+            self.expected_size.result(),
+            self.pos_index_var.result(),
+            temp_addresses[0],
+            temp_addresses[1],
+            temp_addresses[2],
+            self.is_dict_flag.result()
+        ))
+        code.putln("if (unlikely(%s == 0)) break;" % result_temp)
+        code.putln(code.error_goto_if("%s == -1" % result_temp, self.pos))
+        code.funcstate.release_temp(result_temp)
+
+        # evaluate all coercions before the assignments
+        for var, result, target in assignments:
+            code.put_gotref(var.result())
+        for var, result, target in assignments:
+            result.generate_evaluation_code(code)
+        for var, result, target in assignments:
+            target.generate_assignment_code(result, code)
+            var.release(code)
+
+def ForStatNode(pos, **kw):
+    if 'iterator' in kw:
+        return ForInStatNode(pos, **kw)
+    else:
+        return ForFromStatNode(pos, **kw)
+
+class ForInStatNode(LoopNode, StatNode):
+    #  for statement
+    #
+    #  target        ExprNode
+    #  iterator      IteratorNode
+    #  body          StatNode
+    #  else_clause   StatNode
+    #  item          NextNode       used internally
+
+    child_attrs = ["target", "iterator", "body", "else_clause"]
+    item = None
+
+    def analyse_declarations(self, env):
+        import ExprNodes
+        self.target.analyse_target_declaration(env)
+        self.body.analyse_declarations(env)
+        if self.else_clause:
+            self.else_clause.analyse_declarations(env)
+        self.item = ExprNodes.NextNode(self.iterator)
+
+    def analyse_expressions(self, env):
+        self.target = self.target.analyse_target_types(env)
+        self.iterator = self.iterator.analyse_expressions(env)
+        import ExprNodes
+        self.item = ExprNodes.NextNode(self.iterator)  # must rewrap after analysis
+        self.item = self.item.analyse_expressions(env)
+        if (self.iterator.type.is_ptr or self.iterator.type.is_array) and \
+            self.target.type.assignable_from(self.iterator.type):
+            # C array slice optimization.
+            pass
+        else:
+            self.item = self.item.coerce_to(self.target.type, env)
+        self.body = self.body.analyse_expressions(env)
+        if self.else_clause:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code):
+        old_loop_labels = code.new_loop_labels()
+        self.iterator.generate_evaluation_code(code)
+        code.putln("for (;;) {")
+        self.item.generate_evaluation_code(code)
+        self.target.generate_assignment_code(self.item, code)
+        self.body.generate_execution_code(code)
+        code.put_label(code.continue_label)
+        code.putln("}")
+        break_label = code.break_label
+        code.set_loop_labels(old_loop_labels)
+
+        if self.else_clause:
+            # in nested loops, the 'else' block can contain a
+            # 'continue' statement for the outer loop, but we may need
+            # to generate cleanup code before taking that path, so we
+            # intercept it here
+            orig_continue_label = code.continue_label
+            code.continue_label = code.new_label('outer_continue')
+
+            code.putln("/*else*/ {")
+            self.else_clause.generate_execution_code(code)
+            code.putln("}")
+
+            if code.label_used(code.continue_label):
+                code.put_goto(break_label)
+                code.put_label(code.continue_label)
+                self.iterator.generate_disposal_code(code)
+                code.put_goto(orig_continue_label)
+            code.set_loop_labels(old_loop_labels)
+
+        if code.label_used(break_label):
+            code.put_label(break_label)
+        self.iterator.generate_disposal_code(code)
+        self.iterator.free_temps(code)
+
+    def generate_function_definitions(self, env, code):
+        self.target.generate_function_definitions(env, code)
+        self.iterator.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.target.annotate(code)
+        self.iterator.annotate(code)
+        self.body.annotate(code)
+        if self.else_clause:
+            self.else_clause.annotate(code)
+        self.item.annotate(code)
+
+
+class ForFromStatNode(LoopNode, StatNode):
+    #  for name from expr rel name rel expr
+    #
+    #  target        NameNode
+    #  bound1        ExprNode
+    #  relation1     string
+    #  relation2     string
+    #  bound2        ExprNode
+    #  step          ExprNode or None
+    #  body          StatNode
+    #  else_clause   StatNode or None
+    #
+    #  Used internally:
+    #
+    #  from_range         bool
+    #  is_py_target       bool
+    #  loopvar_node       ExprNode (usually a NameNode or temp node)
+    #  py_loopvar_node    PyTempNode or None
+    child_attrs = ["target", "bound1", "bound2", "step", "body", "else_clause"]
+
+    is_py_target = False
+    loopvar_node = None
+    py_loopvar_node = None
+    from_range = False
+
+    gil_message = "For-loop using object bounds or target"
+
+    def nogil_check(self, env):
+        for x in (self.target, self.bound1, self.bound2):
+            if x.type.is_pyobject:
+                self.gil_error()
+
+    def analyse_declarations(self, env):
+        self.target.analyse_target_declaration(env)
+        self.body.analyse_declarations(env)
+        if self.else_clause:
+            self.else_clause.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        import ExprNodes
+        self.target = self.target.analyse_target_types(env)
+        self.bound1 = self.bound1.analyse_types(env)
+        self.bound2 = self.bound2.analyse_types(env)
+        if self.step is not None:
+            if isinstance(self.step, ExprNodes.UnaryMinusNode):
+                warning(self.step.pos, "Probable infinite loop in for-from-by statement. Consider switching the directions of the relations.", 2)
+            self.step = self.step.analyse_types(env)
+
+        if self.target.type.is_numeric:
+            loop_type = self.target.type
+        else:
+            loop_type = PyrexTypes.c_int_type
+            if not self.bound1.type.is_pyobject:
+                loop_type = PyrexTypes.widest_numeric_type(loop_type, self.bound1.type)
+            if not self.bound2.type.is_pyobject:
+                loop_type = PyrexTypes.widest_numeric_type(loop_type, self.bound2.type)
+            if self.step is not None and not self.step.type.is_pyobject:
+                loop_type = PyrexTypes.widest_numeric_type(loop_type, self.step.type)
+        self.bound1 = self.bound1.coerce_to(loop_type, env)
+        self.bound2 = self.bound2.coerce_to(loop_type, env)
+        if not self.bound2.is_literal:
+            self.bound2 = self.bound2.coerce_to_temp(env)
+        if self.step is not None:
+            self.step = self.step.coerce_to(loop_type, env)
+            if not self.step.is_literal:
+                self.step = self.step.coerce_to_temp(env)
+
+        target_type = self.target.type
+        if not (target_type.is_pyobject or target_type.is_numeric):
+            error(self.target.pos,
+                "for-from loop variable must be c numeric type or Python object")
+        if target_type.is_numeric:
+            self.is_py_target = False
+            if isinstance(self.target, ExprNodes.IndexNode) and self.target.is_buffer_access:
+                raise error(self.pos, "Buffer indexing not allowed as for loop target.")
+            self.loopvar_node = self.target
+            self.py_loopvar_node = None
+        else:
+            self.is_py_target = True
+            c_loopvar_node = ExprNodes.TempNode(self.pos, loop_type, env)
+            self.loopvar_node = c_loopvar_node
+            self.py_loopvar_node = \
+                ExprNodes.CloneNode(c_loopvar_node).coerce_to_pyobject(env)
+        self.body = self.body.analyse_expressions(env)
+        if self.else_clause:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+        return self
+
+    def generate_execution_code(self, code):
+        old_loop_labels = code.new_loop_labels()
+        from_range = self.from_range
+        self.bound1.generate_evaluation_code(code)
+        self.bound2.generate_evaluation_code(code)
+        offset, incop = self.relation_table[self.relation1]
+        if self.step is not None:
+            self.step.generate_evaluation_code(code)
+            step = self.step.result()
+            incop = "%s=%s" % (incop[0], step)
+        import ExprNodes
+        if isinstance(self.loopvar_node, ExprNodes.TempNode):
+            self.loopvar_node.allocate(code)
+        if isinstance(self.py_loopvar_node, ExprNodes.TempNode):
+            self.py_loopvar_node.allocate(code)
+        if from_range:
+            loopvar_name = code.funcstate.allocate_temp(self.target.type, False)
+        else:
+            loopvar_name = self.loopvar_node.result()
+        code.putln(
+            "for (%s = %s%s; %s %s %s; %s%s) {" % (
+                loopvar_name,
+                self.bound1.result(), offset,
+                loopvar_name, self.relation2, self.bound2.result(),
+                loopvar_name, incop))
+        if self.py_loopvar_node:
+            self.py_loopvar_node.generate_evaluation_code(code)
+            self.target.generate_assignment_code(self.py_loopvar_node, code)
+        elif from_range:
+            code.putln("%s = %s;" % (
+                            self.target.result(), loopvar_name))
+        self.body.generate_execution_code(code)
+        code.put_label(code.continue_label)
+        if self.py_loopvar_node:
+            # This mess is to make for..from loops with python targets behave
+            # exactly like those with C targets with regards to re-assignment
+            # of the loop variable.
+            import ExprNodes
+            if self.target.entry.is_pyglobal:
+                # We know target is a NameNode, this is the only ugly case.
+                target_node = ExprNodes.PyTempNode(self.target.pos, None)
+                target_node.allocate(code)
+                interned_cname = code.intern_identifier(self.target.entry.name)
+                if self.target.entry.scope.is_module_scope:
+                    code.globalstate.use_utility_code(
+                        UtilityCode.load_cached("GetModuleGlobalName", "ObjectHandling.c"))
+                    lookup_func = '__Pyx_GetModuleGlobalName(%s)'
+                else:
+                    code.globalstate.use_utility_code(
+                        UtilityCode.load_cached("GetNameInClass", "ObjectHandling.c"))
+                    lookup_func = '__Pyx_GetNameInClass(%s, %%s)' % (
+                        self.target.entry.scope.namespace_cname)
+                code.putln("%s = %s; %s" % (
+                    target_node.result(),
+                    lookup_func % interned_cname,
+                    code.error_goto_if_null(target_node.result(), self.target.pos)))
+                code.put_gotref(target_node.result())
+            else:
+                target_node = self.target
+            from_py_node = ExprNodes.CoerceFromPyTypeNode(
+                self.loopvar_node.type, target_node, self.target.entry.scope)
+            from_py_node.temp_code = loopvar_name
+            from_py_node.generate_result_code(code)
+            if self.target.entry.is_pyglobal:
+                code.put_decref(target_node.result(), target_node.type)
+                target_node.release(code)
+        code.putln("}")
+        if self.py_loopvar_node:
+            # This is potentially wasteful, but we don't want the semantics to
+            # depend on whether or not the loop is a python type.
+            self.py_loopvar_node.generate_evaluation_code(code)
+            self.target.generate_assignment_code(self.py_loopvar_node, code)
+        if from_range:
+            code.funcstate.release_temp(loopvar_name)
+        break_label = code.break_label
+        code.set_loop_labels(old_loop_labels)
+        if self.else_clause:
+            code.putln("/*else*/ {")
+            self.else_clause.generate_execution_code(code)
+            code.putln("}")
+        code.put_label(break_label)
+        self.bound1.generate_disposal_code(code)
+        self.bound1.free_temps(code)
+        self.bound2.generate_disposal_code(code)
+        self.bound2.free_temps(code)
+        if isinstance(self.loopvar_node, ExprNodes.TempNode):
+            self.loopvar_node.release(code)
+        if isinstance(self.py_loopvar_node, ExprNodes.TempNode):
+            self.py_loopvar_node.release(code)
+        if self.step is not None:
+            self.step.generate_disposal_code(code)
+            self.step.free_temps(code)
+
+    relation_table = {
+        # {relop : (initial offset, increment op)}
+        '<=': ("",   "++"),
+        '<' : ("+1", "++"),
+        '>=': ("",   "--"),
+        '>' : ("-1", "--")
+    }
+
+    def generate_function_definitions(self, env, code):
+        self.target.generate_function_definitions(env, code)
+        self.bound1.generate_function_definitions(env, code)
+        self.bound2.generate_function_definitions(env, code)
+        if self.step is not None:
+            self.step.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.target.annotate(code)
+        self.bound1.annotate(code)
+        self.bound2.annotate(code)
+        if self.step:
+            self.step.annotate(code)
+        self.body.annotate(code)
+        if self.else_clause:
+            self.else_clause.annotate(code)
+
+
+class WithStatNode(StatNode):
+    """
+    Represents a Python with statement.
+
+    Implemented by the WithTransform as follows:
+
+        MGR = EXPR
+        EXIT = MGR.__exit__
+        VALUE = MGR.__enter__()
+        EXC = True
+        try:
+            try:
+                TARGET = VALUE  # optional
+                BODY
+            except:
+                EXC = False
+                if not EXIT(*EXCINFO):
+                    raise
+        finally:
+            if EXC:
+                EXIT(None, None, None)
+            MGR = EXIT = VALUE = None
+    """
+    #  manager          The with statement manager object
+    #  target           ExprNode  the target lhs of the __enter__() call
+    #  body             StatNode
+    #  enter_call       ExprNode  the call to the __enter__() method
+    #  exit_var         String    the cname of the __exit__() method reference
+
+    child_attrs = ["manager", "enter_call", "target", "body"]
+
+    enter_call = None
+
+    def analyse_declarations(self, env):
+        self.manager.analyse_declarations(env)
+        self.enter_call.analyse_declarations(env)
+        self.body.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.manager = self.manager.analyse_types(env)
+        self.enter_call = self.enter_call.analyse_types(env)
+        self.body = self.body.analyse_expressions(env)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        self.manager.generate_function_definitions(env, code)
+        self.enter_call.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+
+    def generate_execution_code(self, code):
+        code.putln("/*with:*/ {")
+        self.manager.generate_evaluation_code(code)
+        self.exit_var = code.funcstate.allocate_temp(py_object_type, manage_ref=False)
+        code.globalstate.use_utility_code(
+            UtilityCode.load_cached("PyObjectLookupSpecial", "ObjectHandling.c"))
+        code.putln("%s = __Pyx_PyObject_LookupSpecial(%s, %s); %s" % (
+            self.exit_var,
+            self.manager.py_result(),
+            code.intern_identifier(EncodedString('__exit__')),
+            code.error_goto_if_null(self.exit_var, self.pos),
+            ))
+        code.put_gotref(self.exit_var)
+
+        # need to free exit_var in the face of exceptions during setup
+        old_error_label = code.new_error_label()
+        intermediate_error_label = code.error_label
+
+        self.enter_call.generate_evaluation_code(code)
+        if not self.target:
+            self.enter_call.generate_disposal_code(code)
+            self.enter_call.free_temps(code)
+        else:
+            # Otherwise, the node will be cleaned up by the
+            # WithTargetAssignmentStatNode after assigning its result
+            # to the target of the 'with' statement.
+            pass
+        self.manager.generate_disposal_code(code)
+        self.manager.free_temps(code)
+
+        code.error_label = old_error_label
+        self.body.generate_execution_code(code)
+
+        if code.label_used(intermediate_error_label):
+            step_over_label = code.new_label()
+            code.put_goto(step_over_label)
+            code.put_label(intermediate_error_label)
+            code.put_decref_clear(self.exit_var, py_object_type)
+            code.put_goto(old_error_label)
+            code.put_label(step_over_label)
+
+        code.funcstate.release_temp(self.exit_var)
+        code.putln('}')
+
+class WithTargetAssignmentStatNode(AssignmentNode):
+    # The target assignment of the 'with' statement value (return
+    # value of the __enter__() call).
+    #
+    # This is a special cased assignment that steals the RHS reference
+    # and frees its temp.
+    #
+    # lhs       ExprNode   the assignment target
+    # rhs       CloneNode  a (coerced) CloneNode for the orig_rhs (not owned by this node)
+    # orig_rhs  ExprNode   the original ExprNode of the rhs. this node will clean up the
+    #                      temps of the orig_rhs. basically, it takes ownership of the node
+    #                      when the WithStatNode is done with it.
+
+    child_attrs = ["lhs"]
+
+    def analyse_declarations(self, env):
+        self.lhs.analyse_target_declaration(env)
+
+    def analyse_expressions(self, env):
+        self.rhs = self.rhs.analyse_types(env)
+        self.lhs = self.lhs.analyse_target_types(env)
+        self.lhs.gil_assignment_check(env)
+        self.rhs = self.rhs.coerce_to(self.lhs.type, env)
+        return self
+
+    def generate_execution_code(self, code):
+        if self.orig_rhs.type.is_pyobject:
+            # make sure rhs gets freed on errors, see below
+            old_error_label = code.new_error_label()
+            intermediate_error_label = code.error_label
+
+        self.rhs.generate_evaluation_code(code)
+        self.lhs.generate_assignment_code(self.rhs, code)
+
+        if self.orig_rhs.type.is_pyobject:
+            self.orig_rhs.generate_disposal_code(code)
+            code.error_label = old_error_label
+            if code.label_used(intermediate_error_label):
+                step_over_label = code.new_label()
+                code.put_goto(step_over_label)
+                code.put_label(intermediate_error_label)
+                self.orig_rhs.generate_disposal_code(code)
+                code.put_goto(old_error_label)
+                code.put_label(step_over_label)
+
+        self.orig_rhs.free_temps(code)
+
+    def annotate(self, code):
+        self.lhs.annotate(code)
+        self.rhs.annotate(code)
+
+
+class TryExceptStatNode(StatNode):
+    #  try .. except statement
+    #
+    #  body             StatNode
+    #  except_clauses   [ExceptClauseNode]
+    #  else_clause      StatNode or None
+
+    child_attrs = ["body", "except_clauses", "else_clause"]
+
+    def analyse_declarations(self, env):
+        self.body.analyse_declarations(env)
+        for except_clause in self.except_clauses:
+            except_clause.analyse_declarations(env)
+        if self.else_clause:
+            self.else_clause.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.body = self.body.analyse_expressions(env)
+        default_clause_seen = 0
+        for i, except_clause in enumerate(self.except_clauses):
+            except_clause = self.except_clauses[i] = except_clause.analyse_expressions(env)
+            if default_clause_seen:
+                error(except_clause.pos, "default 'except:' must be last")
+            if not except_clause.pattern:
+                default_clause_seen = 1
+        self.has_default_clause = default_clause_seen
+        if self.else_clause:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Try-except statement"
+
+    def generate_execution_code(self, code):
+        old_return_label = code.return_label
+        old_break_label = code.break_label
+        old_continue_label = code.continue_label
+        old_error_label = code.new_error_label()
+        our_error_label = code.error_label
+        except_end_label = code.new_label('exception_handled')
+        except_error_label = code.new_label('except_error')
+        except_return_label = code.new_label('except_return')
+        try_return_label = code.new_label('try_return')
+        try_break_label = code.new_label('try_break')
+        try_continue_label = code.new_label('try_continue')
+        try_end_label = code.new_label('try_end')
+
+        exc_save_vars = [code.funcstate.allocate_temp(py_object_type, False)
+                         for _ in xrange(3)]
+        code.putln("{")
+        save_exc = code.insertion_point()
+        code.putln(
+            "/*try:*/ {")
+        code.return_label = try_return_label
+        code.break_label = try_break_label
+        code.continue_label = try_continue_label
+        self.body.generate_execution_code(code)
+        code.putln(
+            "}")
+        temps_to_clean_up = code.funcstate.all_free_managed_temps()
+        can_raise = code.label_used(our_error_label)
+
+        if can_raise:
+            # inject code before the try block to save away the exception state
+            code.globalstate.use_utility_code(reset_exception_utility_code)
+            save_exc.putln("__Pyx_ExceptionSave(%s);" %
+                           ', '.join(['&%s' % var for var in exc_save_vars]))
+            for var in exc_save_vars:
+                save_exc.put_xgotref(var)
+
+            def restore_saved_exception():
+                for name in exc_save_vars:
+                    code.put_xgiveref(name)
+                code.putln("__Pyx_ExceptionReset(%s);" %
+                           ', '.join(exc_save_vars))
+        else:
+            # try block cannot raise exceptions, but we had to allocate the temps above,
+            # so just keep the C compiler from complaining about them being unused
+            save_exc.putln("if (%s); else {/*mark used*/};" % '||'.join(exc_save_vars))
+
+            def restore_saved_exception():
+                pass
+
+        code.error_label = except_error_label
+        code.return_label = except_return_label
+        if self.else_clause:
+            code.putln(
+                "/*else:*/ {")
+            self.else_clause.generate_execution_code(code)
+            code.putln(
+                "}")
+
+        if can_raise:
+            for var in exc_save_vars:
+                code.put_xdecref_clear(var, py_object_type)
+            code.put_goto(try_end_label)
+            code.put_label(our_error_label)
+            for temp_name, temp_type in temps_to_clean_up:
+                code.put_xdecref_clear(temp_name, temp_type)
+            for except_clause in self.except_clauses:
+                except_clause.generate_handling_code(code, except_end_label)
+            if not self.has_default_clause:
+                code.put_goto(except_error_label)
+
+        for exit_label, old_label in [(except_error_label, old_error_label),
+                                      (try_break_label, old_break_label),
+                                      (try_continue_label, old_continue_label),
+                                      (try_return_label, old_return_label),
+                                      (except_return_label, old_return_label)]:
+            if code.label_used(exit_label):
+                if not code.label_used(try_end_label):
+                    code.put_goto(try_end_label)
+                code.put_label(exit_label)
+                restore_saved_exception()
+                code.put_goto(old_label)
+
+        if code.label_used(except_end_label):
+            if not code.label_used(try_end_label):
+                code.put_goto(try_end_label)
+            code.put_label(except_end_label)
+            restore_saved_exception()
+        if code.label_used(try_end_label):
+            code.put_label(try_end_label)
+        code.putln("}")
+
+        for cname in exc_save_vars:
+            code.funcstate.release_temp(cname)
+
+        code.return_label = old_return_label
+        code.break_label = old_break_label
+        code.continue_label = old_continue_label
+        code.error_label = old_error_label
+
+    def generate_function_definitions(self, env, code):
+        self.body.generate_function_definitions(env, code)
+        for except_clause in self.except_clauses:
+            except_clause.generate_function_definitions(env, code)
+        if self.else_clause is not None:
+            self.else_clause.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        self.body.annotate(code)
+        for except_node in self.except_clauses:
+            except_node.annotate(code)
+        if self.else_clause:
+            self.else_clause.annotate(code)
+
+
+class ExceptClauseNode(Node):
+    #  Part of try ... except statement.
+    #
+    #  pattern        [ExprNode]
+    #  target         ExprNode or None
+    #  body           StatNode
+    #  excinfo_target TupleNode(3*ResultRefNode) or None   optional target for exception info (not owned here!)
+    #  match_flag     string             result of exception match
+    #  exc_value      ExcValueNode       used internally
+    #  function_name  string             qualified name of enclosing function
+    #  exc_vars       (string * 3)       local exception variables
+    #  is_except_as   bool               Py3-style "except ... as xyz"
+
+    # excinfo_target is never set by the parser, but can be set by a transform
+    # in order to extract more extensive information about the exception as a
+    # sys.exc_info()-style tuple into a target variable
+
+    child_attrs = ["pattern", "target", "body", "exc_value"]
+
+    exc_value = None
+    excinfo_target = None
+    is_except_as = False
+
+    def analyse_declarations(self, env):
+        if self.target:
+            self.target.analyse_target_declaration(env)
+        self.body.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.function_name = env.qualified_name
+        if self.pattern:
+            # normalise/unpack self.pattern into a list
+            for i, pattern in enumerate(self.pattern):
+                pattern = pattern.analyse_expressions(env)
+                self.pattern[i] = pattern.coerce_to_pyobject(env)
+
+        if self.target:
+            import ExprNodes
+            self.exc_value = ExprNodes.ExcValueNode(self.pos)
+            self.target = self.target.analyse_target_expression(env, self.exc_value)
+
+        self.body = self.body.analyse_expressions(env)
+        return self
+
+    def generate_handling_code(self, code, end_label):
+        code.mark_pos(self.pos)
+        if self.pattern:
+            exc_tests = []
+            for pattern in self.pattern:
+                pattern.generate_evaluation_code(code)
+                exc_tests.append("PyErr_ExceptionMatches(%s)" % pattern.py_result())
+
+            match_flag = code.funcstate.allocate_temp(PyrexTypes.c_int_type, False)
+            code.putln(
+                "%s = %s;" % (match_flag, ' || '.join(exc_tests)))
+            for pattern in self.pattern:
+                pattern.generate_disposal_code(code)
+                pattern.free_temps(code)
+            code.putln(
+                "if (%s) {" %
+                    match_flag)
+            code.funcstate.release_temp(match_flag)
+        else:
+            code.putln("/*except:*/ {")
+
+        if (not getattr(self.body, 'stats', True)
+                and self.excinfo_target is None
+                and self.target is None):
+            # most simple case: no exception variable, empty body (pass)
+            # => reset the exception state, done
+            code.putln("PyErr_Restore(0,0,0);")
+            code.put_goto(end_label)
+            code.putln("}")
+            return
+
+        exc_vars = [code.funcstate.allocate_temp(py_object_type,
+                                                 manage_ref=True)
+                    for _ in xrange(3)]
+        code.put_add_traceback(self.function_name)
+        # We always have to fetch the exception value even if
+        # there is no target, because this also normalises the
+        # exception and stores it in the thread state.
+        code.globalstate.use_utility_code(get_exception_utility_code)
+        exc_args = "&%s, &%s, &%s" % tuple(exc_vars)
+        code.putln("if (__Pyx_GetException(%s) < 0) %s" % (exc_args,
+            code.error_goto(self.pos)))
+        for x in exc_vars:
+            code.put_gotref(x)
+        if self.target:
+            self.exc_value.set_var(exc_vars[1])
+            self.exc_value.generate_evaluation_code(code)
+            self.target.generate_assignment_code(self.exc_value, code)
+        if self.excinfo_target is not None:
+            for tempvar, node in zip(exc_vars, self.excinfo_target.args):
+                node.set_var(tempvar)
+
+        old_break_label, old_continue_label = code.break_label, code.continue_label
+        code.break_label = code.new_label('except_break')
+        code.continue_label = code.new_label('except_continue')
+
+        old_exc_vars = code.funcstate.exc_vars
+        code.funcstate.exc_vars = exc_vars
+        self.body.generate_execution_code(code)
+        code.funcstate.exc_vars = old_exc_vars
+        for var in exc_vars:
+            code.put_decref_clear(var, py_object_type)
+        code.put_goto(end_label)
+
+        for new_label, old_label in [(code.break_label, old_break_label),
+                                     (code.continue_label, old_continue_label)]:
+            if code.label_used(new_label):
+                code.put_label(new_label)
+                for var in exc_vars:
+                    code.put_decref_clear(var, py_object_type)
+                code.put_goto(old_label)
+        code.break_label = old_break_label
+        code.continue_label = old_continue_label
+
+        for temp in exc_vars:
+            code.funcstate.release_temp(temp)
+
+        code.putln(
+            "}")
+
+    def generate_function_definitions(self, env, code):
+        if self.target is not None:
+            self.target.generate_function_definitions(env, code)
+        self.body.generate_function_definitions(env, code)
+
+    def annotate(self, code):
+        if self.pattern:
+            for pattern in self.pattern:
+                pattern.annotate(code)
+        if self.target:
+            self.target.annotate(code)
+        self.body.annotate(code)
+
+
+class TryFinallyStatNode(StatNode):
+    #  try ... finally statement
+    #
+    #  body             StatNode
+    #  finally_clause   StatNode
+    #
+    #  The plan is that we funnel all continue, break
+    #  return and error gotos into the beginning of the
+    #  finally block, setting a variable to remember which
+    #  one we're doing. At the end of the finally block, we
+    #  switch on the variable to figure out where to go.
+    #  In addition, if we're doing an error, we save the
+    #  exception on entry to the finally block and restore
+    #  it on exit.
+
+    child_attrs = ["body", "finally_clause"]
+
+    preserve_exception = 1
+
+    # handle exception case, in addition to return/break/continue
+    handle_error_case = True
+    func_return_type = None
+
+    disallow_continue_in_try_finally = 0
+    # There doesn't seem to be any point in disallowing
+    # continue in the try block, since we have no problem
+    # handling it.
+
+    is_try_finally_in_nogil = False
+
+    def create_analysed(pos, env, body, finally_clause):
+        node = TryFinallyStatNode(pos, body=body, finally_clause=finally_clause)
+        return node
+    create_analysed = staticmethod(create_analysed)
+
+    def analyse_declarations(self, env):
+        self.body.analyse_declarations(env)
+        self.finally_clause.analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        self.body = self.body.analyse_expressions(env)
+        self.finally_clause = self.finally_clause.analyse_expressions(env)
+        if env.return_type and not env.return_type.is_void:
+            self.func_return_type = env.return_type
+        return self
+
+    nogil_check = Node.gil_error
+    gil_message = "Try-finally statement"
+
+    def generate_execution_code(self, code):
+        old_error_label = code.error_label
+        old_labels = code.all_new_labels()
+        new_labels = code.get_all_labels()
+        new_error_label = code.error_label
+        if not self.handle_error_case:
+            code.error_label = old_error_label
+        catch_label = code.new_label()
+
+        code.putln("/*try:*/ {")
+
+        if self.disallow_continue_in_try_finally:
+            was_in_try_finally = code.funcstate.in_try_finally
+            code.funcstate.in_try_finally = 1
+
+        self.body.generate_execution_code(code)
+
+        if self.disallow_continue_in_try_finally:
+            code.funcstate.in_try_finally = was_in_try_finally
+
+        code.putln("}")
+        code.set_all_labels(old_labels)
+
+        temps_to_clean_up = code.funcstate.all_free_managed_temps()
+        code.mark_pos(self.finally_clause.pos)
+        code.putln("/*finally:*/ {")
+
+        def fresh_finally_clause(_next=[self.finally_clause]):
+            # generate the original subtree once and always keep a fresh copy
+            node = _next[0]
+            node_copy = copy.deepcopy(node)
+            if node is self.finally_clause:
+                _next[0] = node_copy
+            else:
+                node = node_copy
+            return node
+
+        preserve_error = self.preserve_exception and code.label_used(new_error_label)
+        needs_success_cleanup = not self.finally_clause.is_terminator
+
+        if not self.body.is_terminator:
+            code.putln('/*normal exit:*/{')
+            fresh_finally_clause().generate_execution_code(code)
+            if not self.finally_clause.is_terminator:
+                code.put_goto(catch_label)
+            code.putln('}')
+
+        if preserve_error:
+            code.putln('/*exception exit:*/{')
+            if self.is_try_finally_in_nogil:
+                code.declare_gilstate()
+            if needs_success_cleanup:
+                exc_lineno_cnames = tuple([
+                    code.funcstate.allocate_temp(PyrexTypes.c_int_type, manage_ref=False)
+                    for _ in range(2)])
+                exc_filename_cname = code.funcstate.allocate_temp(
+                    PyrexTypes.CPtrType(PyrexTypes.c_const_type(PyrexTypes.c_char_type)),
+                    manage_ref=False)
+            else:
+                exc_lineno_cnames = exc_filename_cname = None
+            exc_vars = tuple([
+                code.funcstate.allocate_temp(py_object_type, manage_ref=False)
+                for _ in range(6)])
+            code.put_label(new_error_label)
+            self.put_error_catcher(
+                code, temps_to_clean_up, exc_vars, exc_lineno_cnames, exc_filename_cname)
+            finally_old_labels = code.all_new_labels()
+
+            code.putln('{')
+            old_exc_vars = code.funcstate.exc_vars
+            code.funcstate.exc_vars = exc_vars[:3]
+            fresh_finally_clause().generate_execution_code(code)
+            code.funcstate.exc_vars = old_exc_vars
+            code.putln('}')
+
+            if needs_success_cleanup:
+                self.put_error_uncatcher(code, exc_vars, exc_lineno_cnames, exc_filename_cname)
+                if exc_lineno_cnames:
+                    for cname in exc_lineno_cnames:
+                        code.funcstate.release_temp(cname)
+                if exc_filename_cname:
+                    code.funcstate.release_temp(exc_filename_cname)
+                code.put_goto(old_error_label)
+
+            for new_label, old_label in zip(code.get_all_labels(), finally_old_labels):
+                if not code.label_used(new_label):
+                    continue
+                code.put_label(new_label)
+                self.put_error_cleaner(code, exc_vars)
+                code.put_goto(old_label)
+
+            for cname in exc_vars:
+                code.funcstate.release_temp(cname)
+            code.putln('}')
+
+        code.set_all_labels(old_labels)
+        return_label = code.return_label
+        for i, (new_label, old_label) in enumerate(zip(new_labels, old_labels)):
+            if not code.label_used(new_label):
+                continue
+            if new_label == new_error_label and preserve_error:
+                continue  # handled above
+
+            code.put('%s: ' % new_label)
+            code.putln('{')
+            ret_temp = None
+            if old_label == return_label and not self.finally_clause.is_terminator:
+                # store away return value for later reuse
+                if (self.func_return_type and
+                        not self.is_try_finally_in_nogil and
+                        not isinstance(self.finally_clause, GILExitNode)):
+                    ret_temp = code.funcstate.allocate_temp(
+                        self.func_return_type, manage_ref=False)
+                    code.putln("%s = %s;" % (ret_temp, Naming.retval_cname))
+                    if self.func_return_type.is_pyobject:
+                        code.putln("%s = 0;" % Naming.retval_cname)
+            fresh_finally_clause().generate_execution_code(code)
+            if ret_temp:
+                code.putln("%s = %s;" % (Naming.retval_cname, ret_temp))
+                if self.func_return_type.is_pyobject:
+                    code.putln("%s = 0;" % ret_temp)
+                code.funcstate.release_temp(ret_temp)
+                ret_temp = None
+            if not self.finally_clause.is_terminator:
+                code.put_goto(old_label)
+            code.putln('}')
+
+        # End finally
+        code.put_label(catch_label)
+        code.putln(
+            "}")
+
+    def generate_function_definitions(self, env, code):
+        self.body.generate_function_definitions(env, code)
+        self.finally_clause.generate_function_definitions(env, code)
+
+    def put_error_catcher(self, code, temps_to_clean_up, exc_vars,
+                          exc_lineno_cnames, exc_filename_cname):
+        code.globalstate.use_utility_code(restore_exception_utility_code)
+        code.globalstate.use_utility_code(get_exception_utility_code)
+        code.globalstate.use_utility_code(swap_exception_utility_code)
+
+        code.putln(' '.join(["%s = 0;"]*len(exc_vars)) % exc_vars)
+        if self.is_try_finally_in_nogil:
+            code.put_ensure_gil(declare_gilstate=False)
+
+        for temp_name, type in temps_to_clean_up:
+            code.put_xdecref_clear(temp_name, type)
+
+        # not using preprocessor here to avoid warnings about
+        # unused utility functions and/or temps
+        code.putln("if (PY_MAJOR_VERSION >= 3)"
+                   " __Pyx_ExceptionSwap(&%s, &%s, &%s);" % exc_vars[3:])
+        code.putln("if ((PY_MAJOR_VERSION < 3) ||"
+                   # if __Pyx_GetException() fails in Py3,
+                   # store the newly raised exception instead
+                   " unlikely(__Pyx_GetException(&%s, &%s, &%s) < 0)) "
+                   "__Pyx_ErrFetch(&%s, &%s, &%s);" % (exc_vars[:3] * 2))
+        for var in exc_vars:
+            code.put_xgotref(var)
+        if exc_lineno_cnames:
+            code.putln("%s = %s; %s = %s; %s = %s;" % (
+                exc_lineno_cnames[0], Naming.lineno_cname,
+                exc_lineno_cnames[1], Naming.clineno_cname,
+                exc_filename_cname, Naming.filename_cname))
+
+        if self.is_try_finally_in_nogil:
+            code.put_release_ensured_gil()
+
+    def put_error_uncatcher(self, code, exc_vars, exc_lineno_cnames, exc_filename_cname):
+        code.globalstate.use_utility_code(restore_exception_utility_code)
+        code.globalstate.use_utility_code(reset_exception_utility_code)
+
+        if self.is_try_finally_in_nogil:
+            code.put_ensure_gil(declare_gilstate=False)
+
+        # not using preprocessor here to avoid warnings about
+        # unused utility functions and/or temps
+        code.putln("if (PY_MAJOR_VERSION >= 3) {")
+        for var in exc_vars[3:]:
+            code.put_xgiveref(var)
+        code.putln("__Pyx_ExceptionReset(%s, %s, %s);" % exc_vars[3:])
+        code.putln("}")
+        for var in exc_vars[:3]:
+            code.put_xgiveref(var)
+        code.putln("__Pyx_ErrRestore(%s, %s, %s);" % exc_vars[:3])
+
+        if self.is_try_finally_in_nogil:
+            code.put_release_ensured_gil()
+
+        code.putln(' '.join(["%s = 0;"]*len(exc_vars)) % exc_vars)
+        if exc_lineno_cnames:
+            code.putln("%s = %s; %s = %s; %s = %s;" % (
+                Naming.lineno_cname, exc_lineno_cnames[0],
+                Naming.clineno_cname, exc_lineno_cnames[1],
+                Naming.filename_cname, exc_filename_cname))
+
+    def put_error_cleaner(self, code, exc_vars):
+        code.globalstate.use_utility_code(reset_exception_utility_code)
+        if self.is_try_finally_in_nogil:
+            code.put_ensure_gil(declare_gilstate=False)
+        # not using preprocessor here to avoid warnings about
+        # unused utility functions and/or temps
+        code.putln("if (PY_MAJOR_VERSION >= 3) {")
+        for var in exc_vars[3:]:
+            code.put_xgiveref(var)
+        code.putln("__Pyx_ExceptionReset(%s, %s, %s);" % exc_vars[3:])
+        code.putln("}")
+        for var in exc_vars[:3]:
+            code.put_xdecref_clear(var, py_object_type)
+        if self.is_try_finally_in_nogil:
+            code.put_release_ensured_gil()
+        code.putln(' '.join(["%s = 0;"]*3) % exc_vars[3:])
+
+    def annotate(self, code):
+        self.body.annotate(code)
+        self.finally_clause.annotate(code)
+
+
+class NogilTryFinallyStatNode(TryFinallyStatNode):
+    """
+    A try/finally statement that may be used in nogil code sections.
+    """
+
+    preserve_exception = False
+    nogil_check = None
+
+
+class GILStatNode(NogilTryFinallyStatNode):
+    #  'with gil' or 'with nogil' statement
+    #
+    #   state   string   'gil' or 'nogil'
+
+    state_temp = None
+
+    def __init__(self, pos, state, body):
+        self.state = state
+        self.create_state_temp_if_needed(pos, state, body)
+        TryFinallyStatNode.__init__(self, pos,
+            body=body,
+            finally_clause=GILExitNode(
+                pos, state=state, state_temp=self.state_temp))
+
+    def create_state_temp_if_needed(self, pos, state, body):
+        from ParseTreeTransforms import YieldNodeCollector
+        collector = YieldNodeCollector()
+        collector.visitchildren(body)
+        if not collector.yields:
+            return
+
+        if state == 'gil':
+            temp_type = PyrexTypes.c_gilstate_type
+        else:
+            temp_type = PyrexTypes.c_threadstate_ptr_type
+        import ExprNodes
+        self.state_temp = ExprNodes.TempNode(pos, temp_type)
+
+    def analyse_declarations(self, env):
+        env._in_with_gil_block = (self.state == 'gil')
+        if self.state == 'gil':
+            env.has_with_gil_block = True
+
+        return super(GILStatNode, self).analyse_declarations(env)
+
+    def analyse_expressions(self, env):
+        env.use_utility_code(
+            UtilityCode.load_cached("ForceInitThreads", "ModuleSetupCode.c"))
+        was_nogil = env.nogil
+        env.nogil = self.state == 'nogil'
+        node = TryFinallyStatNode.analyse_expressions(self, env)
+        env.nogil = was_nogil
+        return node
+
+    def generate_execution_code(self, code):
+        code.mark_pos(self.pos)
+        code.begin_block()
+        if self.state_temp:
+            self.state_temp.allocate(code)
+            variable = self.state_temp.result()
+        else:
+            variable = None
+
+        old_trace_config = code.funcstate.can_trace
+        if self.state == 'gil':
+            code.put_ensure_gil(variable=variable)
+            # FIXME: not that easy, tracing may not be possible at all here
+            #code.funcstate.can_trace = True
+        else:
+            code.put_release_gil(variable=variable)
+            code.funcstate.can_trace = False
+
+        TryFinallyStatNode.generate_execution_code(self, code)
+
+        if self.state_temp:
+            self.state_temp.release(code)
+
+        code.funcstate.can_trace = old_trace_config
+        code.end_block()
+
+
+class GILExitNode(StatNode):
+    """
+    Used as the 'finally' block in a GILStatNode
+
+    state   string   'gil' or 'nogil'
+    """
+
+    child_attrs = []
+    state_temp = None
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        if self.state_temp:
+            variable = self.state_temp.result()
+        else:
+            variable = None
+
+        if self.state == 'gil':
+            code.put_release_ensured_gil(variable)
+        else:
+            code.put_acquire_gil(variable)
+
+
+class EnsureGILNode(GILExitNode):
+    """
+    Ensure the GIL in nogil functions for cleanup before returning.
+    """
+
+    def generate_execution_code(self, code):
+        code.put_ensure_gil(declare_gilstate=False)
+
+utility_code_for_cimports = {
+    # utility code (or inlining c) in a pxd (or pyx) file.
+    # TODO: Consider a generic user-level mechanism for importing
+    'cpython.array'         : ("ArrayAPI", "arrayarray.h"),
+    'cpython.array.array'   : ("ArrayAPI", "arrayarray.h"),
+}
+
+class CImportStatNode(StatNode):
+    #  cimport statement
+    #
+    #  module_name   string           Qualified name of module being imported
+    #  as_name       string or None   Name specified in "as" clause, if any
+
+    child_attrs = []
+
+    def analyse_declarations(self, env):
+        if not env.is_module_scope:
+            error(self.pos, "cimport only allowed at module level")
+            return
+        module_scope = env.find_module(self.module_name, self.pos)
+        if "." in self.module_name:
+            names = [EncodedString(name) for name in self.module_name.split(".")]
+            top_name = names[0]
+            top_module_scope = env.context.find_submodule(top_name)
+            module_scope = top_module_scope
+            for name in names[1:]:
+                submodule_scope = module_scope.find_submodule(name)
+                module_scope.declare_module(name, submodule_scope, self.pos)
+                module_scope = submodule_scope
+            if self.as_name:
+                env.declare_module(self.as_name, module_scope, self.pos)
+            else:
+                env.add_imported_module(module_scope)
+                env.declare_module(top_name, top_module_scope, self.pos)
+        else:
+            name = self.as_name or self.module_name
+            env.declare_module(name, module_scope, self.pos)
+        if self.module_name in utility_code_for_cimports:
+            env.use_utility_code(UtilityCode.load_cached(
+                *utility_code_for_cimports[self.module_name]))
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class FromCImportStatNode(StatNode):
+    #  from ... cimport statement
+    #
+    #  module_name     string                        Qualified name of module
+    #  imported_names  [(pos, name, as_name, kind)]  Names to be imported
+
+    child_attrs = []
+
+    def analyse_declarations(self, env):
+        if not env.is_module_scope:
+            error(self.pos, "cimport only allowed at module level")
+            return
+        module_scope = env.find_module(self.module_name, self.pos)
+        env.add_imported_module(module_scope)
+        for pos, name, as_name, kind in self.imported_names:
+            if name == "*":
+                for local_name, entry in module_scope.entries.items():
+                    env.add_imported_entry(local_name, entry, pos)
+            else:
+                entry = module_scope.lookup(name)
+                if entry:
+                    if kind and not self.declaration_matches(entry, kind):
+                        entry.redeclared(pos)
+                    entry.used = 1
+                else:
+                    if kind == 'struct' or kind == 'union':
+                        entry = module_scope.declare_struct_or_union(name,
+                            kind = kind, scope = None, typedef_flag = 0, pos = pos)
+                    elif kind == 'class':
+                        entry = module_scope.declare_c_class(name, pos = pos,
+                            module_name = self.module_name)
+                    else:
+                        submodule_scope = env.context.find_module(name, relative_to = module_scope, pos = self.pos)
+                        if submodule_scope.parent_module is module_scope:
+                            env.declare_module(as_name or name, submodule_scope, self.pos)
+                        else:
+                            error(pos, "Name '%s' not declared in module '%s'"
+                                % (name, self.module_name))
+
+                if entry:
+                    local_name = as_name or name
+                    env.add_imported_entry(local_name, entry, pos)
+
+        if self.module_name.startswith('cpython'): # enough for now
+            if self.module_name in utility_code_for_cimports:
+                env.use_utility_code(UtilityCode.load_cached(
+                    *utility_code_for_cimports[self.module_name]))
+            for _, name, _, _ in self.imported_names:
+                fqname = '%s.%s' % (self.module_name, name)
+                if fqname in utility_code_for_cimports:
+                    env.use_utility_code(UtilityCode.load_cached(
+                        *utility_code_for_cimports[fqname]))
+
+    def declaration_matches(self, entry, kind):
+        if not entry.is_type:
+            return 0
+        type = entry.type
+        if kind == 'class':
+            if not type.is_extension_type:
+                return 0
+        else:
+            if not type.is_struct_or_union:
+                return 0
+            if kind != type.kind:
+                return 0
+        return 1
+
+    def analyse_expressions(self, env):
+        return self
+
+    def generate_execution_code(self, code):
+        pass
+
+
+class FromImportStatNode(StatNode):
+    #  from ... import statement
+    #
+    #  module           ImportNode
+    #  items            [(string, NameNode)]
+    #  interned_items   [(string, NameNode, ExprNode)]
+    #  item             PyTempNode            used internally
+    #  import_star      boolean               used internally
+
+    child_attrs = ["module"]
+    import_star = 0
+
+    def analyse_declarations(self, env):
+        for name, target in self.items:
+            if name == "*":
+                if not env.is_module_scope:
+                    error(self.pos, "import * only allowed at module level")
+                    return
+                env.has_import_star = 1
+                self.import_star = 1
+            else:
+                target.analyse_target_declaration(env)
+
+    def analyse_expressions(self, env):
+        import ExprNodes
+        self.module = self.module.analyse_expressions(env)
+        self.item = ExprNodes.RawCNameExprNode(self.pos, py_object_type)
+        self.interned_items = []
+        for name, target in self.items:
+            if name == '*':
+                for _, entry in env.entries.items():
+                    if not entry.is_type and entry.type.is_extension_type:
+                        env.use_utility_code(UtilityCode.load_cached("ExtTypeTest", "ObjectHandling.c"))
+                        break
+            else:
+                entry =  env.lookup(target.name)
+                # check whether or not entry is already cimported
+                if (entry.is_type and entry.type.name == name
+                        and hasattr(entry.type, 'module_name')):
+                    if entry.type.module_name == self.module.module_name.value:
+                        # cimported with absolute name
+                        continue
+                    try:
+                        # cimported with relative name
+                        module = env.find_module(self.module.module_name.value,
+                                                 pos=None)
+                        if entry.type.module_name == module.qualified_name:
+                            continue
+                    except AttributeError:
+                        pass
+                target = target.analyse_target_expression(env, None)  # FIXME?
+                if target.type is py_object_type:
+                    coerced_item = None
+                else:
+                    coerced_item = self.item.coerce_to(target.type, env)
+                self.interned_items.append((name, target, coerced_item))
+        return self
+
+    def generate_execution_code(self, code):
+        self.module.generate_evaluation_code(code)
+        if self.import_star:
+            code.putln(
+                'if (%s(%s) < 0) %s;' % (
+                    Naming.import_star,
+                    self.module.py_result(),
+                    code.error_goto(self.pos)))
+        item_temp = code.funcstate.allocate_temp(py_object_type, manage_ref=True)
+        self.item.set_cname(item_temp)
+        if self.interned_items:
+            code.globalstate.use_utility_code(
+                UtilityCode.load_cached("ImportFrom", "ImportExport.c"))
+        for name, target, coerced_item in self.interned_items:
+            code.putln(
+                '%s = __Pyx_ImportFrom(%s, %s); %s' % (
+                    item_temp,
+                    self.module.py_result(),
+                    code.intern_identifier(name),
+                    code.error_goto_if_null(item_temp, self.pos)))
+            code.put_gotref(item_temp)
+            if coerced_item is None:
+                target.generate_assignment_code(self.item, code)
+            else:
+                coerced_item.allocate_temp_result(code)
+                coerced_item.generate_result_code(code)
+                target.generate_assignment_code(coerced_item, code)
+            code.put_decref_clear(item_temp, py_object_type)
+        code.funcstate.release_temp(item_temp)
+        self.module.generate_disposal_code(code)
+        self.module.free_temps(code)
+
+
+class ParallelNode(Node):
+    """
+    Base class for cython.parallel constructs.
+    """
+
+    nogil_check = None
+
+
+class ParallelStatNode(StatNode, ParallelNode):
+    """
+    Base class for 'with cython.parallel.parallel():' and 'for i in prange():'.
+
+    assignments     { Entry(var) : (var.pos, inplace_operator_or_None) }
+                    assignments to variables in this parallel section
+
+    parent          parent ParallelStatNode or None
+    is_parallel     indicates whether this node is OpenMP parallel
+                    (true for #pragma omp parallel for and
+                              #pragma omp parallel)
+
+    is_parallel is true for:
+
+        #pragma omp parallel
+        #pragma omp parallel for
+
+    sections, but NOT for
+
+        #pragma omp for
+
+    We need this to determine the sharing attributes.
+
+    privatization_insertion_point   a code insertion point used to make temps
+                                    private (esp. the "nsteps" temp)
+
+    args         tuple          the arguments passed to the parallel construct
+    kwargs       DictNode       the keyword arguments passed to the parallel
+                                construct (replaced by its compile time value)
+    """
+
+    child_attrs = ['body', 'num_threads']
+
+    body = None
+
+    is_prange = False
+    is_nested_prange = False
+
+    error_label_used = False
+
+    num_threads = None
+    chunksize = None
+
+    parallel_exc = (
+        Naming.parallel_exc_type,
+        Naming.parallel_exc_value,
+        Naming.parallel_exc_tb,
+    )
+
+    parallel_pos_info = (
+        Naming.parallel_filename,
+        Naming.parallel_lineno,
+        Naming.parallel_clineno,
+    )
+
+    pos_info = (
+        Naming.filename_cname,
+        Naming.lineno_cname,
+        Naming.clineno_cname,
+    )
+
+    critical_section_counter = 0
+
+    def __init__(self, pos, **kwargs):
+        super(ParallelStatNode, self).__init__(pos, **kwargs)
+
+        # All assignments in this scope
+        self.assignments = kwargs.get('assignments') or {}
+
+        # All seen closure cnames and their temporary cnames
+        self.seen_closure_vars = set()
+
+        # Dict of variables that should be declared (first|last|)private or
+        # reduction { Entry: (op, lastprivate) }.
+        # If op is not None, it's a reduction.
+        self.privates = {}
+
+        # [NameNode]
+        self.assigned_nodes = []
+
+    def analyse_declarations(self, env):
+        self.body.analyse_declarations(env)
+
+        self.num_threads = None
+
+        if self.kwargs:
+            # Try to find num_threads and chunksize keyword arguments
+            pairs = []
+            for dictitem in self.kwargs.key_value_pairs:
+                if dictitem.key.value == 'num_threads':
+                    self.num_threads = dictitem.value
+                elif self.is_prange and dictitem.key.value == 'chunksize':
+                    self.chunksize = dictitem.value
+                else:
+                    pairs.append(dictitem)
+
+            self.kwargs.key_value_pairs = pairs
+
+            try:
+                self.kwargs = self.kwargs.compile_time_value(env)
+            except Exception, e:
+                error(self.kwargs.pos, "Only compile-time values may be "
+                                       "supplied as keyword arguments")
+        else:
+            self.kwargs = {}
+
+        for kw, val in self.kwargs.iteritems():
+            if kw not in self.valid_keyword_arguments:
+                error(self.pos, "Invalid keyword argument: %s" % kw)
+            else:
+                setattr(self, kw, val)
+
+    def analyse_expressions(self, env):
+        if self.num_threads:
+            self.num_threads = self.num_threads.analyse_expressions(env)
+
+        if self.chunksize:
+            self.chunksize = self.chunksize.analyse_expressions(env)
+
+        self.body = self.body.analyse_expressions(env)
+        self.analyse_sharing_attributes(env)
+
+        if self.num_threads is not None:
+            if (self.parent and self.parent.num_threads is not None and not
+                                                    self.parent.is_prange):
+                error(self.pos,
+                      "num_threads already declared in outer section")
+            elif self.parent and not self.parent.is_prange:
+                error(self.pos,
+                      "num_threads must be declared in the parent parallel section")
+            elif (self.num_threads.type.is_int and
+                  self.num_threads.is_literal and
+                  self.num_threads.compile_time_value(env) <= 0):
+                error(self.pos,
+                      "argument to num_threads must be greater than 0")
+
+            if not self.num_threads.is_simple():
+                self.num_threads = self.num_threads.coerce_to(
+                    PyrexTypes.c_int_type, env).coerce_to_temp(env)
+        return self
+
+    def analyse_sharing_attributes(self, env):
+        """
+        Analyse the privates for this block and set them in self.privates.
+        This should be called in a post-order fashion during the
+        analyse_expressions phase
+        """
+        for entry, (pos, op) in self.assignments.iteritems():
+
+            if self.is_prange and not self.is_parallel:
+                # closely nested prange in a with parallel block, disallow
+                # assigning to privates in the with parallel block (we
+                # consider it too implicit and magicky for users)
+                if entry in self.parent.assignments:
+                    error(pos,
+                          "Cannot assign to private of outer parallel block")
+                    continue
+
+            if not self.is_prange and op:
+                # Again possible, but considered to magicky
+                error(pos, "Reductions not allowed for parallel blocks")
+                continue
+
+            # By default all variables should have the same values as if
+            # executed sequentially
+            lastprivate = True
+            self.propagate_var_privatization(entry, pos, op, lastprivate)
+
+    def propagate_var_privatization(self, entry, pos, op, lastprivate):
+        """
+        Propagate the sharing attributes of a variable. If the privatization is
+        determined by a parent scope, done propagate further.
+
+        If we are a prange, we propagate our sharing attributes outwards to
+        other pranges. If we are a prange in parallel block and the parallel
+        block does not determine the variable private, we propagate to the
+        parent of the parent. Recursion stops at parallel blocks, as they have
+        no concept of lastprivate or reduction.
+
+        So the following cases propagate:
+
+            sum is a reduction for all loops:
+
+                for i in prange(n):
+                    for j in prange(n):
+                        for k in prange(n):
+                            sum += i * j * k
+
+            sum is a reduction for both loops, local_var is private to the
+            parallel with block:
+
+                for i in prange(n):
+                    with parallel:
+                        local_var = ... # private to the parallel
+                        for j in prange(n):
+                            sum += i * j
+
+        Nested with parallel blocks are disallowed, because they wouldn't
+        allow you to propagate lastprivates or reductions:
+
+            #pragma omp parallel for lastprivate(i)
+            for i in prange(n):
+
+                sum = 0
+
+                #pragma omp parallel private(j, sum)
+                with parallel:
+
+                    #pragma omp parallel
+                    with parallel:
+
+                        #pragma omp for lastprivate(j) reduction(+:sum)
+                        for j in prange(n):
+                            sum += i
+
+                    # sum and j are well-defined here
+
+                # sum and j are undefined here
+
+            # sum and j are undefined here
+        """
+        self.privates[entry] = (op, lastprivate)
+
+        if entry.type.is_memoryviewslice:
+            error(pos, "Memoryview slices can only be shared in parallel sections")
+            return
+
+        if self.is_prange:
+            if not self.is_parallel and entry not in self.parent.assignments:
+                # Parent is a parallel with block
+                parent = self.parent.parent
+            else:
+                parent = self.parent
+
+            # We don't need to propagate privates, only reductions and
+            # lastprivates
+            if parent and (op or lastprivate):
+                parent.propagate_var_privatization(entry, pos, op, lastprivate)
+
+    def _allocate_closure_temp(self, code, entry):
+        """
+        Helper function that allocate a temporary for a closure variable that
+        is assigned to.
+        """
+        if self.parent:
+            return self.parent._allocate_closure_temp(code, entry)
+
+        if entry.cname in self.seen_closure_vars:
+            return entry.cname
+
+        cname = code.funcstate.allocate_temp(entry.type, True)
+
+        # Add both the actual cname and the temp cname, as the actual cname
+        # will be replaced with the temp cname on the entry
+        self.seen_closure_vars.add(entry.cname)
+        self.seen_closure_vars.add(cname)
+
+        self.modified_entries.append((entry, entry.cname))
+        code.putln("%s = %s;" % (cname, entry.cname))
+        entry.cname = cname
+
+    def initialize_privates_to_nan(self, code, exclude=None):
+        first = True
+
+        for entry, (op, lastprivate) in self.privates.iteritems():
+            if not op and (not exclude or entry != exclude):
+                invalid_value = entry.type.invalid_value()
+
+                if invalid_value:
+                    if first:
+                        code.putln("/* Initialize private variables to "
+                                   "invalid values */")
+                        first = False
+                    code.putln("%s = %s;" % (entry.cname,
+                                             entry.type.cast_code(invalid_value)))
+
+    def evaluate_before_block(self, code, expr):
+        c = self.begin_of_parallel_control_block_point_after_decls
+        # we need to set the owner to ourselves temporarily, as
+        # allocate_temp may generate a comment in the middle of our pragma
+        # otherwise when DebugFlags.debug_temp_code_comments is in effect
+        owner = c.funcstate.owner
+        c.funcstate.owner = c
+        expr.generate_evaluation_code(c)
+        c.funcstate.owner = owner
+
+        return expr.result()
+
+    def put_num_threads(self, code):
+        """
+        Write self.num_threads if set as the num_threads OpenMP directive
+        """
+        if self.num_threads is not None:
+            code.put(" num_threads(%s)" % self.evaluate_before_block(code,
+                                                        self.num_threads))
+
+
+    def declare_closure_privates(self, code):
+        """
+        If a variable is in a scope object, we need to allocate a temp and
+        assign the value from the temp to the variable in the scope object
+        after the parallel section. This kind of copying should be done only
+        in the outermost parallel section.
+        """
+        self.modified_entries = []
+
+        for entry in self.assignments:
+            if entry.from_closure or entry.in_closure:
+                self._allocate_closure_temp(code, entry)
+
+    def release_closure_privates(self, code):
+        """
+        Release any temps used for variables in scope objects. As this is the
+        outermost parallel block, we don't need to delete the cnames from
+        self.seen_closure_vars.
+        """
+        for entry, original_cname in self.modified_entries:
+            code.putln("%s = %s;" % (original_cname, entry.cname))
+            code.funcstate.release_temp(entry.cname)
+            entry.cname = original_cname
+
+    def privatize_temps(self, code, exclude_temps=()):
+        """
+        Make any used temporaries private. Before the relevant code block
+        code.start_collecting_temps() should have been called.
+        """
+        if self.is_parallel:
+            c = self.privatization_insertion_point
+
+            self.temps = temps = code.funcstate.stop_collecting_temps()
+            privates, firstprivates = [], []
+            for temp, type in temps:
+                if type.is_pyobject or type.is_memoryviewslice:
+                    firstprivates.append(temp)
+                else:
+                    privates.append(temp)
+
+            if privates:
+                c.put(" private(%s)" % ", ".join(privates))
+            if firstprivates:
+                c.put(" firstprivate(%s)" % ", ".join(firstprivates))
+
+            if self.breaking_label_used:
+                shared_vars = [Naming.parallel_why]
+                if self.error_label_used:
+                    shared_vars.extend(self.parallel_exc)
+                    c.put(" private(%s, %s, %s)" % self.pos_info)
+
+                c.put(" shared(%s)" % ', '.join(shared_vars))
+
+    def cleanup_temps(self, code):
+        # Now clean up any memoryview slice and object temporaries
+        if self.is_parallel and not self.is_nested_prange:
+            code.putln("/* Clean up any temporaries */")
+            for temp, type in self.temps:
+                if type.is_memoryviewslice:
+                    code.put_xdecref_memoryviewslice(temp, have_gil=False)
+                elif type.is_pyobject:
+                    code.put_xdecref(temp, type)
+                    code.putln("%s = NULL;" % temp)
+
+    def setup_parallel_control_flow_block(self, code):
+        """
+        Sets up a block that surrounds the parallel block to determine
+        how the parallel section was exited. Any kind of return is
+        trapped (break, continue, return, exceptions). This is the idea:
+
+        {
+            int why = 0;
+
+            #pragma omp parallel
+            {
+                return # -> goto new_return_label;
+                goto end_parallel;
+
+            new_return_label:
+                why = 3;
+                goto end_parallel;
+
+            end_parallel:;
+                #pragma omp flush(why) # we need to flush for every iteration
+            }
+
+            if (why == 3)
+                goto old_return_label;
+        }
+        """
+        self.old_loop_labels = code.new_loop_labels()
+        self.old_error_label = code.new_error_label()
+        self.old_return_label = code.return_label
+        code.return_label = code.new_label(name="return")
+
+        code.begin_block() # parallel control flow block
+        self.begin_of_parallel_control_block_point = code.insertion_point()
+        self.begin_of_parallel_control_block_point_after_decls = code.insertion_point()
+
+        self.undef_builtin_expect_apple_gcc_bug(code)
+
+    def begin_parallel_block(self, code):
+        """
+        Each OpenMP thread in a parallel section that contains a with gil block
+        must have the thread-state initialized. The call to
+        PyGILState_Release() then deallocates our threadstate. If we wouldn't
+        do this, each with gil block would allocate and deallocate one, thereby
+        losing exception information before it can be saved before leaving the
+        parallel section.
+        """
+        self.begin_of_parallel_block = code.insertion_point()
+
+    def end_parallel_block(self, code):
+        """
+        To ensure all OpenMP threads have thread states, we ensure the GIL
+        in each thread (which creates a thread state if it doesn't exist),
+        after which we release the GIL.
+        On exit, reacquire the GIL and release the thread state.
+
+        If compiled without OpenMP support (at the C level), then we still have
+        to acquire the GIL to decref any object temporaries.
+        """
+        if self.error_label_used:
+            begin_code = self.begin_of_parallel_block
+            end_code = code
+
+            begin_code.putln("#ifdef _OPENMP")
+            begin_code.put_ensure_gil(declare_gilstate=True)
+            begin_code.putln("Py_BEGIN_ALLOW_THREADS")
+            begin_code.putln("#endif /* _OPENMP */")
+
+            end_code.putln("#ifdef _OPENMP")
+            end_code.putln("Py_END_ALLOW_THREADS")
+            end_code.putln("#else")
+            end_code.put_safe("{\n")
+            end_code.put_ensure_gil()
+            end_code.putln("#endif /* _OPENMP */")
+            self.cleanup_temps(end_code)
+            end_code.put_release_ensured_gil()
+            end_code.putln("#ifndef _OPENMP")
+            end_code.put_safe("}\n")
+            end_code.putln("#endif /* _OPENMP */")
+
+    def trap_parallel_exit(self, code, should_flush=False):
+        """
+        Trap any kind of return inside a parallel construct. 'should_flush'
+        indicates whether the variable should be flushed, which is needed by
+        prange to skip the loop. It also indicates whether we need to register
+        a continue (we need this for parallel blocks, but not for prange
+        loops, as it is a direct jump there).
+
+        It uses the same mechanism as try/finally:
+            1 continue
+            2 break
+            3 return
+            4 error
+        """
+        save_lastprivates_label = code.new_label()
+        dont_return_label = code.new_label()
+
+        self.any_label_used = False
+        self.breaking_label_used = False
+        self.error_label_used = False
+
+        self.parallel_private_temps = []
+
+        all_labels = code.get_all_labels()
+
+        # Figure this out before starting to generate any code
+        for label in all_labels:
+            if code.label_used(label):
+                self.breaking_label_used = (self.breaking_label_used or
+                                            label != code.continue_label)
+                self.any_label_used = True
+
+        if self.any_label_used:
+            code.put_goto(dont_return_label)
+
+        for i, label in enumerate(all_labels):
+            if not code.label_used(label):
+                continue
+
+            is_continue_label = label == code.continue_label
+
+            code.put_label(label)
+
+            if not (should_flush and is_continue_label):
+                if label == code.error_label:
+                    self.error_label_used = True
+                    self.fetch_parallel_exception(code)
+
+                code.putln("%s = %d;" % (Naming.parallel_why, i + 1))
+
+            if (self.breaking_label_used and self.is_prange and not
+                    is_continue_label):
+                code.put_goto(save_lastprivates_label)
+            else:
+                code.put_goto(dont_return_label)
+
+        if self.any_label_used:
+            if self.is_prange and self.breaking_label_used:
+                # Don't rely on lastprivate, save our lastprivates
+                code.put_label(save_lastprivates_label)
+                self.save_parallel_vars(code)
+
+            code.put_label(dont_return_label)
+
+            if should_flush and self.breaking_label_used:
+                code.putln_openmp("#pragma omp flush(%s)" % Naming.parallel_why)
+
+    def save_parallel_vars(self, code):
+        """
+        The following shenanigans are instated when we break, return or
+        propagate errors from a prange. In this case we cannot rely on
+        lastprivate() to do its job, as no iterations may have executed yet
+        in the last thread, leaving the values undefined. It is most likely
+        that the breaking thread has well-defined values of the lastprivate
+        variables, so we keep those values.
+        """
+        section_name = ("__pyx_parallel_lastprivates%d" %
+                                            self.critical_section_counter)
+        code.putln_openmp("#pragma omp critical(%s)" % section_name)
+        ParallelStatNode.critical_section_counter += 1
+
+        code.begin_block() # begin critical section
+
+        c = self.begin_of_parallel_control_block_point
+
+        temp_count = 0
+        for entry, (op, lastprivate) in self.privates.iteritems():
+            if not lastprivate or entry.type.is_pyobject:
+                continue
+
+            type_decl = entry.type.declaration_code("")
+            temp_cname = "__pyx_parallel_temp%d" % temp_count
+            private_cname = entry.cname
+
+            temp_count += 1
+
+            invalid_value = entry.type.invalid_value()
+            if invalid_value:
+                init = ' = ' + invalid_value
+            else:
+                init = ''
+            # Declare the parallel private in the outer block
+            c.putln("%s %s%s;" % (type_decl, temp_cname, init))
+
+            # Initialize before escaping
+            code.putln("%s = %s;" % (temp_cname, private_cname))
+
+            self.parallel_private_temps.append((temp_cname, private_cname))
+
+        code.end_block() # end critical section
+
+    def fetch_parallel_exception(self, code):
+        """
+        As each OpenMP thread may raise an exception, we need to fetch that
+        exception from the threadstate and save it for after the parallel
+        section where it can be re-raised in the master thread.
+
+        Although it would seem that __pyx_filename, __pyx_lineno and
+        __pyx_clineno are only assigned to under exception conditions (i.e.,
+        when we have the GIL), and thus should be allowed to be shared without
+        any race condition, they are in fact subject to the same race
+        conditions that they were previously when they were global variables
+        and functions were allowed to release the GIL:
+
+            thread A                thread B
+                acquire
+                set lineno
+                release
+                                        acquire
+                                        set lineno
+                                        release
+                acquire
+                fetch exception
+                release
+                                        skip the fetch
+
+                deallocate threadstate  deallocate threadstate
+        """
+        code.begin_block()
+        code.put_ensure_gil(declare_gilstate=True)
+
+        code.putln_openmp("#pragma omp flush(%s)" % Naming.parallel_exc_type)
+        code.putln(
+            "if (!%s) {" % Naming.parallel_exc_type)
+
+        code.putln("__Pyx_ErrFetch(&%s, &%s, &%s);" % self.parallel_exc)
+        pos_info = chain(*zip(self.parallel_pos_info, self.pos_info))
+        code.funcstate.uses_error_indicator = True
+        code.putln("%s = %s; %s = %s; %s = %s;" % tuple(pos_info))
+        code.put_gotref(Naming.parallel_exc_type)
+
+        code.putln(
+            "}")
+
+        code.put_release_ensured_gil()
+        code.end_block()
+
+    def restore_parallel_exception(self, code):
+        "Re-raise a parallel exception"
+        code.begin_block()
+        code.put_ensure_gil(declare_gilstate=True)
+
+        code.put_giveref(Naming.parallel_exc_type)
+        code.putln("__Pyx_ErrRestore(%s, %s, %s);" % self.parallel_exc)
+        pos_info = chain(*zip(self.pos_info, self.parallel_pos_info))
+        code.putln("%s = %s; %s = %s; %s = %s;" % tuple(pos_info))
+
+        code.put_release_ensured_gil()
+        code.end_block()
+
+    def restore_labels(self, code):
+        """
+        Restore all old labels. Call this before the 'else' clause to for
+        loops and always before ending the parallel control flow block.
+        """
+        code.set_all_labels(self.old_loop_labels + (self.old_return_label,
+                                                    self.old_error_label))
+
+    def end_parallel_control_flow_block(self, code,
+                                        break_=False, continue_=False):
+        """
+        This ends the parallel control flow block and based on how the parallel
+        section was exited, takes the corresponding action. The break_ and
+        continue_ parameters indicate whether these should be propagated
+        outwards:
+
+            for i in prange(...):
+                with cython.parallel.parallel():
+                    continue
+
+        Here break should be trapped in the parallel block, and propagated to
+        the for loop.
+        """
+        c = self.begin_of_parallel_control_block_point
+
+        # Firstly, always prefer errors over returning, continue or break
+        if self.error_label_used:
+            c.putln("const char *%s = NULL; int %s = 0, %s = 0;" %
+                                                self.parallel_pos_info)
+
+            c.putln("PyObject *%s = NULL, *%s = NULL, *%s = NULL;" %
+                                                        self.parallel_exc)
+
+            code.putln(
+                "if (%s) {" % Naming.parallel_exc_type)
+            code.putln("/* This may have been overridden by a continue, "
+                       "break or return in another thread. Prefer the error. */")
+            code.putln("%s = 4;" % Naming.parallel_why)
+            code.putln(
+                "}")
+
+        if continue_:
+            any_label_used = self.any_label_used
+        else:
+            any_label_used = self.breaking_label_used
+
+        if any_label_used:
+            # __pyx_parallel_why is used, declare and initialize
+            c.putln("int %s;" % Naming.parallel_why)
+            c.putln("%s = 0;" % Naming.parallel_why)
+
+            code.putln(
+                "if (%s) {" % Naming.parallel_why)
+
+            for temp_cname, private_cname in self.parallel_private_temps:
+                code.putln("%s = %s;" % (private_cname, temp_cname))
+
+            code.putln("switch (%s) {" % Naming.parallel_why)
+            if continue_:
+                code.put("    case 1: ")
+                code.put_goto(code.continue_label)
+
+            if break_:
+                code.put("    case 2: ")
+                code.put_goto(code.break_label)
+
+            code.put("    case 3: ")
+            code.put_goto(code.return_label)
+
+            if self.error_label_used:
+                code.globalstate.use_utility_code(restore_exception_utility_code)
+                code.putln("    case 4:")
+                self.restore_parallel_exception(code)
+                code.put_goto(code.error_label)
+
+            code.putln("}") # end switch
+            code.putln(
+                "}") # end if
+
+        code.end_block() # end parallel control flow block
+        self.redef_builtin_expect_apple_gcc_bug(code)
+
+    # FIXME: improve with version number for OS X Lion
+    buggy_platform_macro_condition = "(defined(__APPLE__) || defined(__OSX__))"
+    have_expect_condition = "(defined(__GNUC__) && " \
+                             "(__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95))))"
+    redef_condition = "(%s && %s)" % (buggy_platform_macro_condition, have_expect_condition)
+
+    def undef_builtin_expect_apple_gcc_bug(self, code):
+        """
+        A bug on OS X Lion disallows __builtin_expect macros. This code avoids them
+        """
+        if not self.parent:
+            code.undef_builtin_expect(self.redef_condition)
+
+    def redef_builtin_expect_apple_gcc_bug(self, code):
+        if not self.parent:
+            code.redef_builtin_expect(self.redef_condition)
+
+
+class ParallelWithBlockNode(ParallelStatNode):
+    """
+    This node represents a 'with cython.parallel.parallel():' block
+    """
+
+    valid_keyword_arguments = ['num_threads']
+
+    num_threads = None
+
+    def analyse_declarations(self, env):
+        super(ParallelWithBlockNode, self).analyse_declarations(env)
+        if self.args:
+            error(self.pos, "cython.parallel.parallel() does not take "
+                            "positional arguments")
+
+    def generate_execution_code(self, code):
+        self.declare_closure_privates(code)
+        self.setup_parallel_control_flow_block(code)
+
+        code.putln("#ifdef _OPENMP")
+        code.put("#pragma omp parallel ")
+
+        if self.privates:
+            privates = [e.cname for e in self.privates
+                                    if not e.type.is_pyobject]
+            code.put('private(%s)' % ', '.join(privates))
+
+        self.privatization_insertion_point = code.insertion_point()
+        self.put_num_threads(code)
+        code.putln("")
+
+        code.putln("#endif /* _OPENMP */")
+
+        code.begin_block() # parallel block
+        self.begin_parallel_block(code)
+        self.initialize_privates_to_nan(code)
+        code.funcstate.start_collecting_temps()
+        self.body.generate_execution_code(code)
+        self.trap_parallel_exit(code)
+        self.privatize_temps(code)
+        self.end_parallel_block(code)
+        code.end_block() # end parallel block
+
+        continue_ = code.label_used(code.continue_label)
+        break_ = code.label_used(code.break_label)
+
+        self.restore_labels(code)
+        self.end_parallel_control_flow_block(code, break_=break_,
+                                             continue_=continue_)
+        self.release_closure_privates(code)
+
+
+class ParallelRangeNode(ParallelStatNode):
+    """
+    This node represents a 'for i in cython.parallel.prange():' construct.
+
+    target       NameNode       the target iteration variable
+    else_clause  Node or None   the else clause of this loop
+    """
+
+    child_attrs = ['body', 'target', 'else_clause', 'args', 'num_threads',
+                   'chunksize']
+
+    body = target = else_clause = args = None
+
+    start = stop = step = None
+
+    is_prange = True
+
+    nogil = None
+    schedule = None
+
+    valid_keyword_arguments = ['schedule', 'nogil', 'num_threads', 'chunksize']
+
+    def __init__(self, pos, **kwds):
+        super(ParallelRangeNode, self).__init__(pos, **kwds)
+        # Pretend to be a ForInStatNode for control flow analysis
+        self.iterator = PassStatNode(pos)
+
+    def analyse_declarations(self, env):
+        super(ParallelRangeNode, self).analyse_declarations(env)
+        self.target.analyse_target_declaration(env)
+        if self.else_clause is not None:
+            self.else_clause.analyse_declarations(env)
+
+        if not self.args or len(self.args) > 3:
+            error(self.pos, "Invalid number of positional arguments to prange")
+            return
+
+        if len(self.args) == 1:
+            self.stop, = self.args
+        elif len(self.args) == 2:
+            self.start, self.stop = self.args
+        else:
+            self.start, self.stop, self.step = self.args
+
+        if hasattr(self.schedule, 'decode'):
+            self.schedule = self.schedule.decode('ascii')
+
+        if self.schedule not in (None, 'static', 'dynamic', 'guided',
+                                 'runtime'):
+            error(self.pos, "Invalid schedule argument to prange: %s" %
+                                                        (self.schedule,))
+
+    def analyse_expressions(self, env):
+        was_nogil = env.nogil
+        if self.nogil:
+            env.nogil = True
+
+        if self.target is None:
+            error(self.pos, "prange() can only be used as part of a for loop")
+            return self
+
+        self.target = self.target.analyse_target_types(env)
+
+        if not self.target.type.is_numeric:
+            # Not a valid type, assume one for now anyway
+
+            if not self.target.type.is_pyobject:
+                # nogil_check will catch the is_pyobject case
+                error(self.target.pos,
+                      "Must be of numeric type, not %s" % self.target.type)
+
+            self.index_type = PyrexTypes.c_py_ssize_t_type
+        else:
+            self.index_type = self.target.type
+            if not self.index_type.signed:
+                warning(self.target.pos,
+                        "Unsigned index type not allowed before OpenMP 3.0",
+                        level=2)
+
+        # Setup start, stop and step, allocating temps if needed
+        self.names = 'start', 'stop', 'step'
+        start_stop_step = self.start, self.stop, self.step
+
+        for node, name in zip(start_stop_step, self.names):
+            if node is not None:
+                node.analyse_types(env)
+                if not node.type.is_numeric:
+                    error(node.pos, "%s argument must be numeric" % name)
+                    continue
+
+                if not node.is_literal:
+                    node = node.coerce_to_temp(env)
+                    setattr(self, name, node)
+
+                # As we range from 0 to nsteps, computing the index along the
+                # way, we need a fitting type for 'i' and 'nsteps'
+                self.index_type = PyrexTypes.widest_numeric_type(
+                                        self.index_type, node.type)
+
+        if self.else_clause is not None:
+            self.else_clause = self.else_clause.analyse_expressions(env)
+
+        # Although not actually an assignment in this scope, it should be
+        # treated as such to ensure it is unpacked if a closure temp, and to
+        # ensure lastprivate behaviour and propagation. If the target index is
+        # not a NameNode, it won't have an entry, and an error was issued by
+        # ParallelRangeTransform
+        if hasattr(self.target, 'entry'):
+            self.assignments[self.target.entry] = self.target.pos, None
+
+        node = super(ParallelRangeNode, self).analyse_expressions(env)
+
+        if node.chunksize:
+            if not node.schedule:
+                error(node.chunksize.pos,
+                      "Must provide schedule with chunksize")
+            elif node.schedule == 'runtime':
+                error(node.chunksize.pos,
+                      "Chunksize not valid for the schedule runtime")
+            elif (node.chunksize.type.is_int and
+                  node.chunksize.is_literal and
+                  node.chunksize.compile_time_value(env) <= 0):
+                error(node.chunksize.pos, "Chunksize must not be negative")
+
+            node.chunksize = node.chunksize.coerce_to(
+                PyrexTypes.c_int_type, env).coerce_to_temp(env)
+
+        if node.nogil:
+            env.nogil = was_nogil
+
+        node.is_nested_prange = node.parent and node.parent.is_prange
+        if node.is_nested_prange:
+            parent = node
+            while parent.parent and parent.parent.is_prange:
+                parent = parent.parent
+
+            parent.assignments.update(node.assignments)
+            parent.privates.update(node.privates)
+            parent.assigned_nodes.extend(node.assigned_nodes)
+        return node
+
+    def nogil_check(self, env):
+        names = 'start', 'stop', 'step', 'target'
+        nodes = self.start, self.stop, self.step, self.target
+        for name, node in zip(names, nodes):
+            if node is not None and node.type.is_pyobject:
+                error(node.pos, "%s may not be a Python object "
+                                "as we don't have the GIL" % name)
+
+    def generate_execution_code(self, code):
+        """
+        Generate code in the following steps
+
+            1)  copy any closure variables determined thread-private
+                into temporaries
+
+            2)  allocate temps for start, stop and step
+
+            3)  generate a loop that calculates the total number of steps,
+                which then computes the target iteration variable for every step:
+
+                    for i in prange(start, stop, step):
+                        ...
+
+                becomes
+
+                    nsteps = (stop - start) / step;
+                    i = start;
+
+                    #pragma omp parallel for lastprivate(i)
+                    for (temp = 0; temp < nsteps; temp++) {
+                        i = start + step * temp;
+                        ...
+                    }
+
+                Note that accumulation of 'i' would have a data dependency
+                between iterations.
+
+                Also, you can't do this
+
+                    for (i = start; i < stop; i += step)
+                        ...
+
+                as the '<' operator should become '>' for descending loops.
+                'for i from x < i < y:' does not suffer from this problem
+                as the relational operator is known at compile time!
+
+            4) release our temps and write back any private closure variables
+        """
+        self.declare_closure_privates(code)
+
+        # This can only be a NameNode
+        target_index_cname = self.target.entry.cname
+
+        # This will be used as the dict to format our code strings, holding
+        # the start, stop , step, temps and target cnames
+        fmt_dict = {
+            'target': target_index_cname,
+        }
+
+        # Setup start, stop and step, allocating temps if needed
+        start_stop_step = self.start, self.stop, self.step
+        defaults = '0', '0', '1'
+        for node, name, default in zip(start_stop_step, self.names, defaults):
+            if node is None:
+                result = default
+            elif node.is_literal:
+                result = node.get_constant_c_result_code()
+            else:
+                node.generate_evaluation_code(code)
+                result = node.result()
+
+            fmt_dict[name] = result
+
+        fmt_dict['i'] = code.funcstate.allocate_temp(self.index_type, False)
+        fmt_dict['nsteps'] = code.funcstate.allocate_temp(self.index_type, False)
+
+        # TODO: check if the step is 0 and if so, raise an exception in a
+        # 'with gil' block. For now, just abort
+        code.putln("if (%(step)s == 0) abort();" % fmt_dict)
+
+        self.setup_parallel_control_flow_block(code) # parallel control flow block
+
+        self.control_flow_var_code_point = code.insertion_point()
+
+        # Note: nsteps is private in an outer scope if present
+        code.putln("%(nsteps)s = (%(stop)s - %(start)s) / %(step)s;" % fmt_dict)
+
+        # The target iteration variable might not be initialized, do it only if
+        # we are executing at least 1 iteration, otherwise we should leave the
+        # target unaffected. The target iteration variable is firstprivate to
+        # shut up compiler warnings caused by lastprivate, as the compiler
+        # erroneously believes that nsteps may be <= 0, leaving the private
+        # target index uninitialized
+        code.putln("if (%(nsteps)s > 0)" % fmt_dict)
+        code.begin_block() # if block
+        self.generate_loop(code, fmt_dict)
+        code.end_block() # end if block
+
+        self.restore_labels(code)
+
+        if self.else_clause:
+            if self.breaking_label_used:
+                code.put("if (%s < 2)" % Naming.parallel_why)
+
+            code.begin_block() # else block
+            code.putln("/* else */")
+            self.else_clause.generate_execution_code(code)
+            code.end_block() # end else block
+
+        # ------ cleanup ------
+        self.end_parallel_control_flow_block(code) # end parallel control flow block
+
+        # And finally, release our privates and write back any closure
+        # variables
+        for temp in start_stop_step:
+            if temp is not None:
+                temp.generate_disposal_code(code)
+                temp.free_temps(code)
+
+        code.funcstate.release_temp(fmt_dict['i'])
+        code.funcstate.release_temp(fmt_dict['nsteps'])
+
+        self.release_closure_privates(code)
+
+    def generate_loop(self, code, fmt_dict):
+        if self.is_nested_prange:
+            code.putln("#if 0")
+        else:
+            code.putln("#ifdef _OPENMP")
+
+        if not self.is_parallel:
+            code.put("#pragma omp for")
+            self.privatization_insertion_point = code.insertion_point()
+            reduction_codepoint = self.parent.privatization_insertion_point
+        else:
+            code.put("#pragma omp parallel")
+            self.privatization_insertion_point = code.insertion_point()
+            reduction_codepoint = self.privatization_insertion_point
+            code.putln("")
+            code.putln("#endif /* _OPENMP */")
+
+            code.begin_block() # pragma omp parallel begin block
+
+            # Initialize the GIL if needed for this thread
+            self.begin_parallel_block(code)
+
+            if self.is_nested_prange:
+                code.putln("#if 0")
+            else:
+                code.putln("#ifdef _OPENMP")
+            code.put("#pragma omp for")
+
+        for entry, (op, lastprivate) in self.privates.iteritems():
+            # Don't declare the index variable as a reduction
+            if op and op in "+*-&^|" and entry != self.target.entry:
+                if entry.type.is_pyobject:
+                    error(self.pos, "Python objects cannot be reductions")
+                else:
+                    #code.put(" reduction(%s:%s)" % (op, entry.cname))
+                    # This is the only way reductions + nesting works in gcc4.5
+                    reduction_codepoint.put(
+                                " reduction(%s:%s)" % (op, entry.cname))
+            else:
+                if entry == self.target.entry:
+                    code.put(" firstprivate(%s)" % entry.cname)
+                    code.put(" lastprivate(%s)" % entry.cname)
+                    continue
+
+                if not entry.type.is_pyobject:
+                    if lastprivate:
+                        private = 'lastprivate'
+                    else:
+                        private = 'private'
+
+                    code.put(" %s(%s)" % (private, entry.cname))
+
+        if self.schedule:
+            if self.chunksize:
+                chunksize = ", %s" % self.evaluate_before_block(code,
+                                                                self.chunksize)
+            else:
+                chunksize = ""
+
+            code.put(" schedule(%s%s)" % (self.schedule, chunksize))
+
+        self.put_num_threads(reduction_codepoint)
+
+        code.putln("")
+        code.putln("#endif /* _OPENMP */")
+
+        code.put("for (%(i)s = 0; %(i)s < %(nsteps)s; %(i)s++)" % fmt_dict)
+        code.begin_block() # for loop block
+
+        guard_around_body_codepoint = code.insertion_point()
+
+        # Start if guard block around the body. This may be unnecessary, but
+        # at least it doesn't spoil indentation
+        code.begin_block()
+
+        code.putln("%(target)s = %(start)s + %(step)s * %(i)s;" % fmt_dict)
+        self.initialize_privates_to_nan(code, exclude=self.target.entry)
+
+        if self.is_parallel:
+            code.funcstate.start_collecting_temps()
+
+        self.body.generate_execution_code(code)
+        self.trap_parallel_exit(code, should_flush=True)
+        self.privatize_temps(code)
+
+        if self.breaking_label_used:
+            # Put a guard around the loop body in case return, break or
+            # exceptions might be used
+            guard_around_body_codepoint.putln("if (%s < 2)" % Naming.parallel_why)
+
+        code.end_block() # end guard around loop body
+        code.end_block() # end for loop block
+
+        if self.is_parallel:
+            # Release the GIL and deallocate the thread state
+            self.end_parallel_block(code)
+            code.end_block() # pragma omp parallel end block
+
+
+class CnameDecoratorNode(StatNode):
+    """
+    This node is for the cname decorator in CythonUtilityCode:
+
+        @cname('the_cname')
+        cdef func(...):
+            ...
+
+    In case of a cdef class the cname specifies the objstruct_cname.
+
+    node        the node to which the cname decorator is applied
+    cname       the cname the node should get
+    """
+
+    child_attrs = ['node']
+
+    def analyse_declarations(self, env):
+        self.node.analyse_declarations(env)
+
+        node = self.node
+        if isinstance(node, CompilerDirectivesNode):
+            node = node.body.stats[0]
+
+        self.is_function = isinstance(node, FuncDefNode)
+        is_struct_or_enum = isinstance(node, (CStructOrUnionDefNode,
+                                                   CEnumDefNode))
+        e = node.entry
+
+        if self.is_function:
+            e.cname = self.cname
+            e.func_cname = self.cname
+            e.used = True
+            if e.pyfunc_cname and '.' in e.pyfunc_cname:
+                e.pyfunc_cname = self.mangle(e.pyfunc_cname)
+        elif is_struct_or_enum:
+            e.cname = e.type.cname = self.cname
+        else:
+            scope = node.scope
+
+            e.cname = self.cname
+            e.type.objstruct_cname = self.cname + '_obj'
+            e.type.typeobj_cname = Naming.typeobj_prefix + self.cname
+            e.type.typeptr_cname = self.cname + '_type'
+            e.type.scope.namespace_cname = e.type.typeptr_cname
+
+            e.as_variable.cname = py_object_type.cast_code(e.type.typeptr_cname)
+
+            scope.scope_prefix = self.cname + "_"
+
+            for name, entry in scope.entries.iteritems():
+                if entry.func_cname:
+                    entry.func_cname = self.mangle(entry.cname)
+                if entry.pyfunc_cname:
+                    entry.pyfunc_cname = self.mangle(entry.pyfunc_cname)
+
+    def mangle(self, cname):
+        if '.' in cname:
+            # remove __pyx_base from func_cname
+            cname = cname.split('.')[-1]
+        return '%s_%s' % (self.cname, cname)
+
+    def analyse_expressions(self, env):
+        self.node = self.node.analyse_expressions(env)
+        return self
+
+    def generate_function_definitions(self, env, code):
+        "Ensure a prototype for every @cname method in the right place"
+        if self.is_function and env.is_c_class_scope:
+            # method in cdef class, generate a prototype in the header
+            h_code = code.globalstate['utility_code_proto']
+
+            if isinstance(self.node, DefNode):
+                self.node.generate_function_header(
+                            h_code, with_pymethdef=False, proto_only=True)
+            else:
+                import ModuleNode
+                entry = self.node.entry
+                cname = entry.cname
+                entry.cname = entry.func_cname
+
+                ModuleNode.generate_cfunction_declaration(
+                        entry,
+                        env.global_scope(),
+                        h_code,
+                        definition=True)
+
+                entry.cname = cname
+
+        self.node.generate_function_definitions(env, code)
+
+    def generate_execution_code(self, code):
+        self.node.generate_execution_code(code)
+
+
+#------------------------------------------------------------------------------------
+#
+#  Runtime support code
+#
+#------------------------------------------------------------------------------------
+
+if Options.gcc_branch_hints:
+    branch_prediction_macros = """
+/* Test for GCC > 2.95 */
+#if defined(__GNUC__) \
+    && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
+  #define likely(x)   __builtin_expect(!!(x), 1)
+  #define unlikely(x) __builtin_expect(!!(x), 0)
+#else /* !__GNUC__ or GCC < 2.95 */
+  #define likely(x)   (x)
+  #define unlikely(x) (x)
+#endif /* __GNUC__ */
+"""
+else:
+    branch_prediction_macros = """
+#define likely(x)   (x)
+#define unlikely(x) (x)
+"""
+
+#------------------------------------------------------------------------------------
+
+printing_utility_code = UtilityCode.load_cached("Print", "Printing.c")
+printing_one_utility_code = UtilityCode.load_cached("PrintOne", "Printing.c")
+
+#------------------------------------------------------------------------------------
+
+# Exception raising code
+#
+# Exceptions are raised by __Pyx_Raise() and stored as plain
+# type/value/tb in PyThreadState->curexc_*.  When being caught by an
+# 'except' statement, curexc_* is moved over to exc_* by
+# __Pyx_GetException()
+
+restore_exception_utility_code = UtilityCode.load_cached("PyErrFetchRestore", "Exceptions.c")
+raise_utility_code = UtilityCode.load_cached("RaiseException", "Exceptions.c")
+get_exception_utility_code = UtilityCode.load_cached("GetException", "Exceptions.c")
+swap_exception_utility_code = UtilityCode.load_cached("SwapException", "Exceptions.c")
+reset_exception_utility_code = UtilityCode.load_cached("SaveResetException", "Exceptions.c")
+traceback_utility_code = UtilityCode.load_cached("AddTraceback", "Exceptions.c")
+
+#------------------------------------------------------------------------------------
+
+get_exception_tuple_utility_code = UtilityCode(proto="""
+static PyObject *__Pyx_GetExceptionTuple(void); /*proto*/
+""",
+# I doubt that calling __Pyx_GetException() here is correct as it moves
+# the exception from tstate->curexc_* to tstate->exc_*, which prevents
+# exception handlers later on from receiving it.
+impl = """
+static PyObject *__Pyx_GetExceptionTuple(void) {
+    PyObject *type = NULL, *value = NULL, *tb = NULL;
+    if (__Pyx_GetException(&type, &value, &tb) == 0) {
+        PyObject* exc_info = PyTuple_New(3);
+        if (exc_info) {
+            Py_INCREF(type);
+            Py_INCREF(value);
+            Py_INCREF(tb);
+            PyTuple_SET_ITEM(exc_info, 0, type);
+            PyTuple_SET_ITEM(exc_info, 1, value);
+            PyTuple_SET_ITEM(exc_info, 2, tb);
+            return exc_info;
+        }
+    }
+    return NULL;
+}
+""",
+requires=[get_exception_utility_code])