//====================================================================
// 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;
}
/// <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.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);
}
//====================================================================
// Implementation of [] semantics for reflected types. This exists
// both to implement the Array[int] syntax for creating arrays and
// to support generic name overload resolution using [].
//====================================================================
public override IntPtr type_subscript(IntPtr idx)
{
// If this type is the Array type, the [<type>] means we need to
// construct and return an array type of the given element type.
if ((this.type) == typeof(Array))
{
if (Runtime.PyTuple_Check(idx))
{
return(Exceptions.RaiseTypeError("type expected"));
}
ClassBase c = GetManagedObject(idx) as ClassBase;
Type t = (c != null) ? c.type : Converter.GetTypeByAlias(idx);
if (t == null)
{
return(Exceptions.RaiseTypeError("type expected"));
}
Type a = t.MakeArrayType();
ClassBase o = ClassManager.GetClass(a);
Runtime.Incref(o.pyHandle);
return(o.pyHandle);
}
// If there are generics in our namespace with the same base name
// as the current type, then [<type>] means the caller wants to
// bind the generic type matching the given type parameters.
Type[] types = Runtime.PythonArgsToTypeArray(idx);
if (types == null)
{
return(Exceptions.RaiseTypeError("type(s) expected"));
}
string gname = this.type.FullName + "`" + types.Length.ToString();
Type gtype = AssemblyManager.LookupType(gname);
if (gtype != null)
{
GenericType g = ClassManager.GetClass(gtype) as GenericType;
return(g.type_subscript(idx));
/*Runtime.Incref(g.pyHandle);
* return g.pyHandle;*/
}
return(Exceptions.RaiseTypeError("unsubscriptable object"));
}
//====================================================================
// 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)
{
// 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;
}