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// ==========================================================================
// 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
)
;
}
}
}
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