/// <summary>
/// Set the 'args' slot on a python exception object that wraps
/// a CLR exception. This is needed for pickling CLR exceptions as
/// BaseException_reduce will only check the slots, bypassing the
/// __getattr__ implementation, and thus dereferencing a NULL
/// pointer.
/// </summary>
/// <param name="ob">The python object wrapping </param>
internal static void SetArgsAndCause(IntPtr ob)
{
// e: A CLR Exception
Exception e = ExceptionClassObject.ToException(ob);
if (e == null)
{
return;
}
IntPtr args;
if (!string.IsNullOrEmpty(e.Message))
{
args = Runtime.PyTuple_New(1);
IntPtr msg = Runtime.PyUnicode_FromString(e.Message);
Runtime.PyTuple_SetItem(args, 0, msg);
}
else
{
args = Runtime.PyTuple_New(0);
}
Marshal.WriteIntPtr(ob, ExceptionOffset.args, args);
#if PYTHON3
if (e.InnerException != null)
{
IntPtr cause = CLRObject.GetInstHandle(e.InnerException);
Marshal.WriteIntPtr(ob, ExceptionOffset.cause, cause);
}
#endif
}
//====================================================================
// Exceptions __getattribute__ implementation.
// handles Python's args and message attributes
//====================================================================
public static IntPtr tp_getattro(IntPtr ob, IntPtr key)
{
if (!Runtime.PyString_Check(key))
{
Exceptions.SetError(Exceptions.TypeError, "string expected");
return(IntPtr.Zero);
}
string name = Runtime.GetManagedString(key);
if (name == "args")
{
Exception e = ToException(ob);
IntPtr args;
if (e.Message != String.Empty)
{
args = Runtime.PyTuple_New(1);
IntPtr msg = Runtime.PyUnicode_FromString(e.Message);
Runtime.PyTuple_SetItem(args, 0, msg);
}
else
{
args = Runtime.PyTuple_New(0);
}
return(args);
}
if (name == "message")
{
return(ExceptionClassObject.tp_str(ob));
}
return(Runtime.PyObject_GenericGetAttr(ob, key));
}
//===================================================================
// Preloads all currently-known names for the module namespace. This
// can be called multiple times, to add names from assemblies that
// may have been loaded since the last call to the method.
//===================================================================
public void LoadNames()
{
ManagedType m = null;
foreach (string name in AssemblyManager.GetNames(_namespace))
{
this.cache.TryGetValue(name, out m);
if (m == null)
{
ManagedType attr = this.GetAttribute(name, true);
if (Runtime.wrap_exceptions)
{
if (attr is ExceptionClassObject)
{
ExceptionClassObject c = attr as ExceptionClassObject;
if (c != null)
{
IntPtr p = attr.pyHandle;
IntPtr r = Exceptions.GetExceptionClassWrapper(p);
Runtime.PyDict_SetItemString(dict, name, r);
Runtime.Incref(r);
}
}
}
}
}
}
/// <summary>
/// Create a new ClassBase-derived instance that implements a reflected
/// managed type. The new object will be associated with a generated
/// Python type object.
/// </summary>
private static ClassBase CreateClass(Type type)
{
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters)
{
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype))
{
impl = new DelegateObject(type);
}
else if (type.IsArray)
{
impl = new ArrayObject(type);
}
else if (type.IsKeyValuePairEnumerable())
{
impl = new KeyValuePairEnumerableObject(type);
}
else if (type.IsInterface)
{
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception)))
{
impl = new ExceptionClassObject(type);
}
else if (null != type.GetField("__pyobj__"))
{
impl = new ClassDerivedObject(type);
}
else
{
impl = new ClassObject(type);
}
return(impl);
}
//====================================================================
// ModuleObject __getattribute__ implementation. Module attributes
// are always either classes or sub-modules representing subordinate
// namespaces. CLR modules implement a lazy pattern - the sub-modules
// and classes are created when accessed and cached for future use.
//====================================================================
public static IntPtr tp_getattro(IntPtr ob, IntPtr key)
{
ModuleObject self = (ModuleObject)GetManagedObject(ob);
if (!Runtime.PyString_Check(key))
{
Exceptions.SetError(Exceptions.TypeError, "string expected");
return(IntPtr.Zero);
}
IntPtr op = Runtime.PyDict_GetItem(self.dict, key);
if (op != IntPtr.Zero)
{
Runtime.Incref(op);
return(op);
}
string name = Runtime.GetManagedString(key);
if (name == "__dict__")
{
Runtime.Incref(self.dict);
return(self.dict);
}
ManagedType attr = self.GetAttribute(name, true);
if (attr == null)
{
Exceptions.SetError(Exceptions.AttributeError, name);
return(IntPtr.Zero);
}
// XXX - hack required to recognize exception types. These types
// may need to be wrapped in old-style class wrappers in versions
// of Python where new-style classes cannot be used as exceptions.
if (Runtime.wrap_exceptions)
{
if (attr is ExceptionClassObject)
{
ExceptionClassObject c = attr as ExceptionClassObject;
if (c != null)
{
IntPtr p = attr.pyHandle;
IntPtr r = Exceptions.GetExceptionClassWrapper(p);
Runtime.PyDict_SetItemString(self.dict, name, r);
Runtime.Incref(r);
return(r);
}
}
}
Runtime.Incref(attr.pyHandle);
return(attr.pyHandle);
}
//====================================================================
// Create a new ClassBase-derived instance that implements a reflected
// managed type. The new object will be associated with a generated
// Python type object.
//====================================================================
private static ClassBase CreateClass(Type type)
{
// First, we introspect the managed type and build some class
// information, including generating the member descriptors
// that we'll be putting in the Python class __dict__.
ClassInfo info = GetClassInfo(type);
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters)
{
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype))
{
impl = new DelegateObject(type);
}
else if (type.IsArray)
{
impl = new ArrayObject(type);
}
else if (type.IsInterface)
{
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception)))
{
impl = new ExceptionClassObject(type);
}
else
{
impl = new ClassObject(type);
}
impl.indexer = info.indexer;
// Now we allocate the Python type object to reflect the given
// managed type, filling the Python type slots with thunks that
// point to the managed methods providing the implementation.
IntPtr tp = TypeManager.GetTypeHandle(impl, type);
impl.tpHandle = tp;
// Finally, initialize the class __dict__ and return the object.
IntPtr dict = Marshal.ReadIntPtr(tp, TypeOffset.tp_dict);
IDictionaryEnumerator iter = info.members.GetEnumerator();
while (iter.MoveNext())
{
ManagedType item = (ManagedType)iter.Value;
string name = (string)iter.Key;
Runtime.PyDict_SetItemString(dict, name, item.pyHandle);
}
// If class has constructors, generate an __doc__ attribute.
ClassObject co = impl as ClassObject;
if (co != null)
{
IntPtr doc = co.GetDocString();
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
return(impl);
}
//====================================================================
// Create a new ClassBase-derived instance that implements a reflected
// managed type. The new object will be associated with a generated
// Python type object.
//====================================================================
private static ClassBase CreateClass(Type type)
{
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters)
{
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype))
{
impl = new DelegateObject(type);
}
else if (type.IsArray)
{
impl = new ArrayObject(type);
}
else if (type.IsInterface)
{
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception)))
{
impl = new ExceptionClassObject(type);
}
else if (null != type.GetField("__pyobj__"))
{
impl = new ClassDerivedObject(type);
}
else
{
impl = new ClassObject(type);
}
return impl;
}
//====================================================================
// Create a new ClassBase-derived instance that implements a reflected
// managed type. The new object will be associated with a generated
// Python type object.
//====================================================================
private static ClassBase CreateClass(Type type)
{
// First, we introspect the managed type and build some class
// information, including generating the member descriptors
// that we'll be putting in the Python class __dict__.
ClassInfo info = GetClassInfo(type);
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters)
{
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype))
{
impl = new DelegateObject(type);
}
else if (type.IsArray)
{
impl = new ArrayObject(type);
}
else if (type.IsInterface)
{
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception)))
{
impl = new ExceptionClassObject(type);
}
else
{
impl = new ClassObject(type);
}
impl.indexer = info.indexer;
// Now we allocate the Python type object to reflect the given
// managed type, filling the Python type slots with thunks that
// point to the managed methods providing the implementation.
IntPtr tp = TypeManager.GetTypeHandle(impl, type);
impl.tpHandle = tp;
// Finally, initialize the class __dict__ and return the object.
IntPtr dict = Marshal.ReadIntPtr(tp, TypeOffset.tp_dict);
IDictionaryEnumerator iter = info.members.GetEnumerator();
while (iter.MoveNext())
{
ManagedType item = (ManagedType)iter.Value;
string name = (string)iter.Key;
Runtime.PyDict_SetItemString(dict, name, item.pyHandle);
}
// If class has constructors, generate an __doc__ attribute.
IntPtr doc;
Type marker = typeof(DocStringAttribute);
Attribute[] attrs = (Attribute[])type.GetCustomAttributes(marker, false);
if (attrs.Length == 0)
{
doc = IntPtr.Zero;
}
else
{
DocStringAttribute attr = (DocStringAttribute)attrs[0];
string docStr = attr.DocString;
doc = Runtime.PyString_FromString(docStr);
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
ClassObject co = impl as ClassObject;
// If this is a ClassObject AND it has constructors, generate a __doc__ attribute.
// required that the ClassObject.ctors be changed to internal
if (co != null)
{
if (co.ctors.Length > 0)
{
// Implement Overloads on the class object
if (!CLRModule._SuppressOverloads)
{
ConstructorBinding ctors = new ConstructorBinding(type, tp, co.binder);
// ExtensionType types are untracked, so don't Incref() them.
// XXX deprecate __overloads__ soon...
Runtime.PyDict_SetItemString(dict, "__overloads__", ctors.pyHandle);
Runtime.PyDict_SetItemString(dict, "Overloads", ctors.pyHandle);
}
if (!CLRModule._SuppressDocs)
{
doc = co.GetDocString();
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
}
}
return(impl);
}
//====================================================================
// Create a new ClassBase-derived instance that implements a reflected
// managed type. The new object will be associated with a generated
// Python type object.
//====================================================================
private static ClassBase CreateClass(Type type)
{
// First, we introspect the managed type and build some class
// information, including generating the member descriptors
// that we'll be putting in the Python class __dict__.
ClassInfo info = GetClassInfo(type);
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters) {
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype)) {
impl = new DelegateObject(type);
}
else if (type.IsArray) {
impl = new ArrayObject(type);
}
else if (type.IsInterface) {
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception))) {
impl = new ExceptionClassObject(type);
}
else {
impl = new ClassObject(type);
}
impl.indexer = info.indexer;
// Now we allocate the Python type object to reflect the given
// managed type, filling the Python type slots with thunks that
// point to the managed methods providing the implementation.
IntPtr tp = TypeManager.GetTypeHandle(impl, type);
impl.tpHandle = tp;
// Finally, initialize the class __dict__ and return the object.
IntPtr dict = Marshal.ReadIntPtr(tp, TypeOffset.tp_dict);
IDictionaryEnumerator iter = info.members.GetEnumerator();
while(iter.MoveNext()) {
ManagedType item = (ManagedType)iter.Value;
string name = (string)iter.Key;
Runtime.PyDict_SetItemString(dict, name, item.pyHandle);
}
// If class has constructors, generate an __doc__ attribute.
IntPtr doc;
Type marker = typeof(DocStringAttribute);
Attribute[] attrs = (Attribute[])type.GetCustomAttributes(marker, false);
if (attrs.Length == 0) {
doc = IntPtr.Zero;
}
else {
DocStringAttribute attr = (DocStringAttribute)attrs[0];
string docStr = attr.DocString;
doc = Runtime.PyString_FromString(docStr);
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
ClassObject co = impl as ClassObject;
// If this is a ClassObject AND it has constructors, generate a __doc__ attribute.
// required that the ClassObject.ctors be changed to internal
if (co != null) {
if (co.ctors.Length > 0) {
// Implement Overloads on the class object
ConstructorBinding ctors = new ConstructorBinding(type, tp, co.binder);
// ExtensionType types are untracked, so don't Incref() them.
// XXX deprecate __overloads__ soon...
Runtime.PyDict_SetItemString(dict, "__overloads__", ctors.pyHandle);
Runtime.PyDict_SetItemString(dict, "Overloads", ctors.pyHandle);
if (doc == IntPtr.Zero) {
doc = co.GetDocString();
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
}
}
return impl;
}
//====================================================================
// Create a new ClassBase-derived instance that implements a reflected
// managed type. The new object will be associated with a generated
// Python type object.
//====================================================================
private static ClassBase CreateClass(Type type)
{
// First, we introspect the managed type and build some class
// information, including generating the member descriptors
// that we'll be putting in the Python class __dict__.
ClassInfo info = GetClassInfo(type);
// Next, select the appropriate managed implementation class.
// Different kinds of types, such as array types or interface
// types, want to vary certain implementation details to make
// sure that the type semantics are consistent in Python.
ClassBase impl;
// Check to see if the given type extends System.Exception. This
// lets us check once (vs. on every lookup) in case we need to
// wrap Exception-derived types in old-style classes
if (type.ContainsGenericParameters) {
impl = new GenericType(type);
}
else if (type.IsSubclassOf(dtype)) {
impl = new DelegateObject(type);
}
else if (type.IsArray) {
impl = new ArrayObject(type);
}
else if (type.IsInterface) {
impl = new InterfaceObject(type);
}
else if (type == typeof(Exception) ||
type.IsSubclassOf(typeof(Exception))) {
impl = new ExceptionClassObject(type);
}
else {
impl = new ClassObject(type);
}
impl.indexer = info.indexer;
// Now we allocate the Python type object to reflect the given
// managed type, filling the Python type slots with thunks that
// point to the managed methods providing the implementation.
IntPtr tp = TypeManager.GetTypeHandle(impl, type);
impl.tpHandle = tp;
// Finally, initialize the class __dict__ and return the object.
IntPtr dict = Marshal.ReadIntPtr(tp, TypeOffset.tp_dict);
IDictionaryEnumerator iter = info.members.GetEnumerator();
while(iter.MoveNext()) {
ManagedType item = (ManagedType)iter.Value;
string name = (string)iter.Key;
Runtime.PyDict_SetItemString(dict, name, item.pyHandle);
}
// If class has constructors, generate an __doc__ attribute.
ClassObject co = impl as ClassObject;
if (co != null) {
IntPtr doc = co.GetDocString();
Runtime.PyDict_SetItemString(dict, "__doc__", doc);
Runtime.Decref(doc);
}
return impl;
}
