PowerToys/Pythonnet.Runtime/typemanager.cs

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2014-01-11 00:19:14 +08:00
// ==========================================================================
// This software is subject to the provisions of the Zope Public License,
// Version 2.0 (ZPL). A copy of the ZPL should accompany this distribution.
// THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
// WARRANTIES ARE DISCLAIMED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF TITLE, MERCHANTABILITY, AGAINST INFRINGEMENT, AND FITNESS
// FOR A PARTICULAR PURPOSE.
// ==========================================================================
using System;
using System.Runtime.InteropServices;
using System.Reflection.Emit;
using System.Collections.Generic;
using System.Collections;
using System.Reflection;
using System.Threading;
namespace Python.Runtime {
//=======================================================================
// The TypeManager class is responsible for building binary-compatible
// Python type objects that are implemented in managed code.
//=======================================================================
internal class TypeManager {
static BindingFlags tbFlags;
static Dictionary<Type, IntPtr> cache;
static int obSize;
static TypeManager() {
tbFlags = BindingFlags.Public | BindingFlags.Static;
obSize = 5 * IntPtr.Size;
cache = new Dictionary<Type, IntPtr>(128);
}
//====================================================================
// Given a managed Type derived from ExtensionType, get the handle to
// a Python type object that delegates its implementation to the Type
// object. These Python type instances are used to implement internal
// descriptor and utility types like ModuleObject, PropertyObject, etc.
//====================================================================
internal static IntPtr GetTypeHandle(Type type) {
// Note that these types are cached with a refcount of 1, so they
// effectively exist until the CPython runtime is finalized.
IntPtr handle = IntPtr.Zero;
cache.TryGetValue(type, out handle);
if (handle != IntPtr.Zero) {
return handle;
}
handle = CreateType(type);
cache[type] = handle;
return handle;
}
//====================================================================
// Get the handle of a Python type that reflects the given CLR type.
// The given ManagedType instance is a managed object that implements
// the appropriate semantics in Python for the reflected managed type.
//====================================================================
internal static IntPtr GetTypeHandle(ManagedType obj, Type type) {
IntPtr handle = IntPtr.Zero;
cache.TryGetValue(type, out handle);
if (handle != IntPtr.Zero) {
return handle;
}
handle = CreateType(obj, type);
cache[type] = handle;
return handle;
}
//====================================================================
// The following CreateType implementations do the necessary work to
// create Python types to represent managed extension types, reflected
// types, subclasses of reflected types and the managed metatype. The
// dance is slightly different for each kind of type due to different
// behavior needed and the desire to have the existing Python runtime
// do as much of the allocation and initialization work as possible.
//====================================================================
internal static IntPtr CreateType(Type impl) {
IntPtr type = AllocateTypeObject(impl.Name);
// Set tp_basicsize to the size of our managed instance objects.
Marshal.WriteIntPtr(type, TypeOffset.tp_basicsize, (IntPtr)obSize);
IntPtr offset = (IntPtr)ObjectOffset.ob_dict;
Marshal.WriteIntPtr(type, TypeOffset.tp_dictoffset, offset);
InitializeSlots(type, impl);
int flags = TypeFlags.Default | TypeFlags.Managed |
TypeFlags.HeapType | TypeFlags.HaveGC;
Marshal.WriteIntPtr(type, TypeOffset.tp_flags, (IntPtr)flags);
Runtime.PyType_Ready(type);
IntPtr dict = Marshal.ReadIntPtr(type, TypeOffset.tp_dict);
IntPtr mod = Runtime.PyString_FromString("CLR");
Runtime.PyDict_SetItemString(dict, "__module__", mod);
InitMethods(type, impl);
return type;
}
internal static IntPtr CreateType(ManagedType impl, Type clrType) {
// Cleanup the type name to get rid of funny nested type names.
string name = "CLR." + clrType.FullName;
int i = name.LastIndexOf('+');
if (i > -1) {
name = name.Substring(i + 1);
}
i = name.LastIndexOf('.');
if (i > -1) {
name = name.Substring(i + 1);
}
IntPtr base_ = IntPtr.Zero;
// XXX Hack, use a different base class for System.Exception
// Python 2.5+ allows new style class exceptions but they *must*
// subclass BaseException (or better Exception).
#if (PYTHON25 || PYTHON26 || PYTHON27)
if (clrType == typeof(System.Exception)) {
base_ = Exceptions.Exception;
Runtime.Incref(base_);
} else
#endif
if (clrType.BaseType != null) {
ClassBase bc = ClassManager.GetClass(clrType.BaseType);
base_ = bc.pyHandle;
}
IntPtr type = AllocateTypeObject(name);
Marshal.WriteIntPtr(type,TypeOffset.ob_type,Runtime.PyCLRMetaType);
Runtime.Incref(Runtime.PyCLRMetaType);
Marshal.WriteIntPtr(type, TypeOffset.tp_basicsize, (IntPtr)obSize);
Marshal.WriteIntPtr(type, TypeOffset.tp_itemsize, IntPtr.Zero);
IntPtr offset = (IntPtr)ObjectOffset.ob_dict;
Marshal.WriteIntPtr(type, TypeOffset.tp_dictoffset, offset);
InitializeSlots(type, impl.GetType());
if (base_ != IntPtr.Zero) {
Marshal.WriteIntPtr(type, TypeOffset.tp_base, base_);
Runtime.Incref(base_);
}
int flags = TypeFlags.Default;
flags |= TypeFlags.Managed;
flags |= TypeFlags.HeapType;
flags |= TypeFlags.BaseType;
flags |= TypeFlags.HaveGC;
Marshal.WriteIntPtr(type, TypeOffset.tp_flags, (IntPtr)flags);
// Leverage followup initialization from the Python runtime. Note
// that the type of the new type must PyType_Type at the time we
// call this, else PyType_Ready will skip some slot initialization.
Runtime.PyType_Ready(type);
IntPtr dict = Marshal.ReadIntPtr(type, TypeOffset.tp_dict);
string mn = clrType.Namespace != null ? clrType.Namespace : "";
IntPtr mod = Runtime.PyString_FromString(mn);
Runtime.PyDict_SetItemString(dict, "__module__", mod);
// Hide the gchandle of the implementation in a magic type slot.
GCHandle gc = GCHandle.Alloc(impl);
Marshal.WriteIntPtr(type, TypeOffset.magic(), (IntPtr)gc);
// Set the handle attributes on the implementing instance.
impl.tpHandle = Runtime.PyCLRMetaType;
impl.gcHandle = gc;
impl.pyHandle = type;
//DebugUtil.DumpType(type);
return type;
}
internal static IntPtr CreateSubType(IntPtr args) {
IntPtr py_name = Runtime.PyTuple_GetItem(args, 0);
IntPtr bases = Runtime.PyTuple_GetItem(args, 1);
IntPtr dict = Runtime.PyTuple_GetItem(args, 2);
IntPtr base_ = Runtime.PyTuple_GetItem(bases, 0);
string name = Runtime.GetManagedString(py_name);
IntPtr type = AllocateTypeObject(name);
Marshal.WriteIntPtr(type,TypeOffset.ob_type,Runtime.PyCLRMetaType);
Runtime.Incref(Runtime.PyCLRMetaType);
Marshal.WriteIntPtr(type, TypeOffset.tp_basicsize, (IntPtr)obSize);
Marshal.WriteIntPtr(type, TypeOffset.tp_itemsize, IntPtr.Zero);
IntPtr offset = (IntPtr)ObjectOffset.ob_dict;
Marshal.WriteIntPtr(type, TypeOffset.tp_dictoffset, offset);
IntPtr dc = Runtime.PyDict_Copy(dict);
Marshal.WriteIntPtr(type, TypeOffset.tp_dict, dc);
Marshal.WriteIntPtr(type, TypeOffset.tp_base, base_);
Runtime.Incref(base_);
int flags = TypeFlags.Default;
flags |= TypeFlags.Managed;
flags |= TypeFlags.HeapType;
flags |= TypeFlags.BaseType;
flags |= TypeFlags.Subclass;
flags |= TypeFlags.HaveGC;
Marshal.WriteIntPtr(type, TypeOffset.tp_flags, (IntPtr)flags);
CopySlot(base_, type, TypeOffset.tp_traverse);
CopySlot(base_, type, TypeOffset.tp_clear);
CopySlot(base_, type, TypeOffset.tp_is_gc);
Runtime.PyType_Ready(type);
IntPtr tp_dict = Marshal.ReadIntPtr(type, TypeOffset.tp_dict);
IntPtr mod = Runtime.PyString_FromString("CLR");
Runtime.PyDict_SetItemString(tp_dict, "__module__", mod);
// for now, move up hidden handle...
IntPtr gc = Marshal.ReadIntPtr(base_, TypeOffset.magic());
Marshal.WriteIntPtr(type, TypeOffset.magic(), gc);
return type;
}
internal static IntPtr CreateMetaType(Type impl) {
// The managed metatype is functionally little different than the
// standard Python metatype (PyType_Type). It overrides certain of
// the standard type slots, and has to subclass PyType_Type for
// certain functions in the C runtime to work correctly with it.
IntPtr type = AllocateTypeObject("CLR Metatype");
IntPtr py_type = Runtime.PyTypeType;
Marshal.WriteIntPtr(type, TypeOffset.tp_base, py_type);
Runtime.Incref(py_type);
// Copy gc and other type slots from the base Python metatype.
CopySlot(py_type, type, TypeOffset.tp_basicsize);
CopySlot(py_type, type, TypeOffset.tp_itemsize);
CopySlot(py_type, type, TypeOffset.tp_dictoffset);
CopySlot(py_type, type, TypeOffset.tp_weaklistoffset);
CopySlot(py_type, type, TypeOffset.tp_traverse);
CopySlot(py_type, type, TypeOffset.tp_clear);
CopySlot(py_type, type, TypeOffset.tp_is_gc);
// Override type slots with those of the managed implementation.
InitializeSlots(type, impl);
int flags = TypeFlags.Default;
flags |= TypeFlags.Managed;
flags |= TypeFlags.HeapType;
flags |= TypeFlags.HaveGC;
Marshal.WriteIntPtr(type, TypeOffset.tp_flags, (IntPtr)flags);
Runtime.PyType_Ready(type);
IntPtr dict = Marshal.ReadIntPtr(type, TypeOffset.tp_dict);
IntPtr mod = Runtime.PyString_FromString("CLR");
Runtime.PyDict_SetItemString(dict, "__module__", mod);
//DebugUtil.DumpType(type);
return type;
}
internal static IntPtr BasicSubType(string name, IntPtr base_,
Type impl) {
// Utility to create a subtype of a std Python type, but with
// a managed type able to override implementation
IntPtr type = AllocateTypeObject(name);
//Marshal.WriteIntPtr(type, TypeOffset.tp_basicsize, (IntPtr)obSize);
//Marshal.WriteIntPtr(type, TypeOffset.tp_itemsize, IntPtr.Zero);
//IntPtr offset = (IntPtr)ObjectOffset.ob_dict;
//Marshal.WriteIntPtr(type, TypeOffset.tp_dictoffset, offset);
//IntPtr dc = Runtime.PyDict_Copy(dict);
//Marshal.WriteIntPtr(type, TypeOffset.tp_dict, dc);
Marshal.WriteIntPtr(type, TypeOffset.tp_base, base_);
Runtime.Incref(base_);
int flags = TypeFlags.Default;
flags |= TypeFlags.Managed;
flags |= TypeFlags.HeapType;
flags |= TypeFlags.HaveGC;
Marshal.WriteIntPtr(type, TypeOffset.tp_flags, (IntPtr)flags);
CopySlot(base_, type, TypeOffset.tp_traverse);
CopySlot(base_, type, TypeOffset.tp_clear);
CopySlot(base_, type, TypeOffset.tp_is_gc);
InitializeSlots(type, impl);
Runtime.PyType_Ready(type);
IntPtr tp_dict = Marshal.ReadIntPtr(type, TypeOffset.tp_dict);
IntPtr mod = Runtime.PyString_FromString("CLR");
Runtime.PyDict_SetItemString(tp_dict, "__module__", mod);
return type;
}
//====================================================================
// Utility method to allocate a type object & do basic initialization.
//====================================================================
internal static IntPtr AllocateTypeObject(string name) {
IntPtr type = Runtime.PyType_GenericAlloc(Runtime.PyTypeType, 0);
// Cheat a little: we'll set tp_name to the internal char * of
// the Python version of the type name - otherwise we'd have to
// allocate the tp_name and would have no way to free it.
IntPtr temp = Runtime.PyString_FromString(name);
IntPtr raw = Runtime.PyString_AS_STRING(temp);
Marshal.WriteIntPtr(type, TypeOffset.tp_name, raw);
Marshal.WriteIntPtr(type, TypeOffset.name, temp);
long ptr = type.ToInt64(); // 64-bit safe
temp = new IntPtr(ptr + TypeOffset.nb_add);
Marshal.WriteIntPtr(type, TypeOffset.tp_as_number, temp);
temp = new IntPtr(ptr + TypeOffset.sq_length);
Marshal.WriteIntPtr(type, TypeOffset.tp_as_sequence, temp);
temp = new IntPtr(ptr + TypeOffset.mp_length);
Marshal.WriteIntPtr(type, TypeOffset.tp_as_mapping, temp);
temp = new IntPtr(ptr + TypeOffset.bf_getreadbuffer);
Marshal.WriteIntPtr(type, TypeOffset.tp_as_buffer, temp);
return type;
}
//====================================================================
// Given a newly allocated Python type object and a managed Type that
// provides the implementation for the type, connect the type slots of
// the Python object to the managed methods of the implementing Type.
//====================================================================
internal static void InitializeSlots(IntPtr type, Type impl) {
Hashtable seen = new Hashtable(8);
Type offsetType = typeof(TypeOffset);
while (impl != null) {
MethodInfo[] methods = impl.GetMethods(tbFlags);
for (int i = 0; i < methods.Length; i++) {
MethodInfo method = methods[i];
string name = method.Name;
if (! (name.StartsWith("tp_") ||
name.StartsWith("nb_") ||
name.StartsWith("sq_") ||
name.StartsWith("mp_") ||
name.StartsWith("bf_")
) ) {
continue;
}
if (seen[name] != null) {
continue;
}
FieldInfo fi = offsetType.GetField(name);
int offset = (int)fi.GetValue(offsetType);
IntPtr slot = Interop.GetThunk(method);
Marshal.WriteIntPtr(type, offset, slot);
seen[name] = 1;
}
impl = impl.BaseType;
}
}
//====================================================================
// Given a newly allocated Python type object and a managed Type that
// implements it, initialize any methods defined by the Type that need
// to appear in the Python type __dict__ (based on custom attribute).
//====================================================================
private static void InitMethods(IntPtr pytype, Type type) {
IntPtr dict = Marshal.ReadIntPtr(pytype, TypeOffset.tp_dict);
Type marker = typeof(PythonMethodAttribute);
BindingFlags flags = BindingFlags.Public | BindingFlags.Static;
while (type != null) {
MethodInfo[] methods = type.GetMethods(flags);
for (int i = 0; i < methods.Length; i++) {
MethodInfo method = methods[i];
object[] attrs = method.GetCustomAttributes(marker, false);
if (attrs.Length > 0) {
string method_name = method.Name;
MethodInfo[] mi = new MethodInfo[1];
mi[0] = method;
MethodObject m = new TypeMethod(method_name, mi);
Runtime.PyDict_SetItemString(dict, method_name,
m.pyHandle);
}
}
type = type.BaseType;
}
}
//====================================================================
// Utility method to copy slots from a given type to another type.
//====================================================================
internal static void CopySlot(IntPtr from, IntPtr to, int offset) {
IntPtr fp = Marshal.ReadIntPtr(from, offset);
Marshal.WriteIntPtr(to, offset, fp);
}
}
}