Commit 0ffd14c9 authored by Fred Drake's avatar Fred Drake

Started updating information about defining attributes on types.

There's still a long way to go, but we're starting to see some real
content in the docs.
parent bdcb1c45
......@@ -430,7 +430,7 @@ static PyObject *
newdatatype_repr(newdatatypeobject * obj)
{
return PyString_FromFormat("Repr-ified_newdatatype{{size:\%d}}",
obj->obj_UnderlyingDatatypePtr->size);
obj->obj_UnderlyingDatatypePtr->size);
}
\end{verbatim}
......@@ -453,8 +453,7 @@ static PyObject *
newdatatype_str(newdatatypeobject * obj)
{
return PyString_FromFormat("Stringified_newdatatype{{size:\%d}}",
obj->obj_UnderlyingDatatypePtr->size
);
obj->obj_UnderlyingDatatypePtr->size);
}
\end{verbatim}
......@@ -494,12 +493,175 @@ newdatatype_print(newdatatypeobject *obj, FILE *fp, int flags)
\subsection{Attribute Management Functions}
For every object which can support attributes, the corresponding type
must provide the functions that control how the attributes are
resolved. There needs to be a function which can retrieve attributes
(if any are defined), and another to set attributes (if setting
attributes is allowed). Removing an attribute is a special case, for
which the new value passed to the handler is \NULL.
Python supports two pairs of attribute handlers; a type that supports
attributes only needs to implement the functions for one pair. The
difference is that one pair takes the name of the attribute as a
\ctype{char*}, while the other accepts a \ctype{PyObject*}. Each type
can use whichever pair makes more sense for the implementation's
convenience.
\begin{verbatim}
getattrfunc tp_getattr;
setattrfunc tp_setattr;
getattrfunc tp_getattr; /* char * version */
setattrfunc tp_setattr;
/* ... */
getattrofunc tp_getattrofunc; /* PyObject * version */
setattrofunc tp_setattrofunc;
\end{verbatim}
The \member{tp_getattr} handle is called when the object requires an
If accessing attributes of an object is always a simple operation
(this will be explained shortly), there are generic implementations
which can be used to provide the \ctype{PyObject*} version of the
attribute management functions. The actual need for type-specific
attribute handlers almost completely disappeared starting with Python
2.2, though there are many examples which have not been updated to use
some of the new generic mechanism that is available.
\subsubsection{Generic Attribute Management}
\versionadded{2.2}
Most extension types only use \emph{simple} attributes. So, what
makes the attributes simple? There are only a couple of conditions
that must be met:
\begin{enumerate}
\item The name of the attributes must be known when
\cfunction{PyType_Ready()} is called.
\item No special processing is need to record that an attribute
was looked up or set, nor do actions need to be taken based
on the value.
\end{enumerate}
Note that this list does not place any restrictions on the values of
the attributes, when the values are computed, or how relevant data is
stored.
When \cfunction{PyType_Ready()} is called, it uses three tables
referenced by the type object to create \emph{descriptors} which are
placed in the dictionary of the type object. Each descriptor controls
access to one attribute of the instance object. Each of the tables is
optional; if all three are \NULL, instances of the type will only have
attributes that are inherited from their base type, and should leave
the \member{tp_getattro} and \member{tp_setattro} fields \NULL{} as
well, allowing the base type to handle attributes.
The tables are declared as three fields of the type object:
\begin{verbatim}
struct PyMethodDef *tp_methods;
struct PyMemberDef *tp_members;
struct PyGetSetDef *tp_getset;
\end{verbatim}
If \member{tp_methods} is not \NULL, it must refer to an array of
\ctype{PyMethodDef} structures. Each entry in the table is an
instance of this structure:
\begin{verbatim}
typedef struct PyMethodDef {
char *ml_name; /* method name */
PyCFunction ml_meth; /* implementation function */
int ml_flags; /* flags */
char *ml_doc; /* docstring */
} PyMethodDef;
\end{verbatim}
One entry should be defined for each method provided by the type; no
entries are needed for methods inherited from a base type. One
additional entry is needed at the end; it is a sentinel that marks the
end of the array. The \member{ml_name} field of the sentinel must be
\NULL.
XXX Need to refer to some unified discussion of the structure fields,
shared with the next section.
The second table is used to define attributes which map directly to
data stored in the instance. A variety of primitive C types are
supported, and access may be read-only or read-write. The structures
in the table are defined as:
\begin{verbatim}
typedef struct PyMemberDef {
char *name;
int type;
int offset;
int flags;
char *doc;
} PyMemberDef;
\end{verbatim}
For each entry in the table, a descriptor will be constructed and
added to the type which will be able to extract a value from the
instance structure. The \member{type} field should contain one of the
type codes defined in the \file{structmember.h} header; the value will
be used to determine how to convert Python values to and from C
values. The \member{flags} field is used to store flags which control
how the attribute can be accessed.
XXX Need to move some of this to a shared section!
The following flag constants are defined in \file{structmember.h};
they may be combined using bitwise-OR.
\begin{tableii}{l|l}{constant}{Constant}{Meaning}
\lineii{READONLY \ttindex{READONLY}}
{Never writable.}
\lineii{RO \ttindex{RO}}
{Shorthand for \constant{READONLY}.}
\lineii{READ_RESTRICTED \ttindex{READ_RESTRICTED}}
{Not readable in restricted mode.}
\lineii{WRITE_RESTRICTED \ttindex{WRITE_RESTRICTED}}
{Not writable in restricted mode.}
\lineii{RESTRICTED \ttindex{RESTRICTED}}
{Not readable or writable in restricted mode.}
\end{tableii}
An interesting advantage of using the \member{tp_members} table to
build descriptors that are used at runtime is that any attribute
defined this way can have an associated docstring simply by providing
the text in the table. An application can use the introspection API
to retrieve the descriptor from the class object, and get the
docstring using its \member{__doc__} attribute.
As with the \member{tp_methods} table, a sentinel entry with a
\member{name} value of \NULL{} is required.
% XXX Descriptors need to be explained in more detail somewhere, but
% not here.
%
% Descriptor objects have two handler functions which correspond to
% the \member{tp_getattro} and \member{tp_setattro} handlers. The
% \method{__get__()} handler is a function which is passed the
% descriptor, instance, and type objects, and returns the value of the
% attribute, or it returns \NULL{} and sets an exception. The
% \method{__set__()} handler is passed the descriptor, instance, type,
% and new value;
\subsubsection{Type-specific Attribute Management}
For simplicity, only the \ctype{char*} version will be demonstrated
here; the type of the name parameter is the only difference between
the \ctype{char*} and \ctype{PyObject*} flavors of the interface.
This example effectively does the same thing as the generic example
above, but does not use the generic support added in Python 2.2. The
value in showing this is two-fold: it demonstrates how basic attribute
management can be done in a way that is portable to older versions of
Python, and explains how the handler functions are called, so that if
you do need to extend their functionality, you'll understand what
needs to be done.
The \member{tp_getattr} handler is called when the object requires an
attribute look-up. It is called in the same situations where the
\method{__getattr__()} method of a class would be called.
......@@ -507,7 +669,9 @@ A likely way to handle this is (1) to implement a set of functions
(such as \cfunction{newdatatype_getSize()} and
\cfunction{newdatatype_setSize()} in the example below), (2) provide a
method table listing these functions, and (3) provide a getattr
function that returns the result of a lookup in that table.
function that returns the result of a lookup in that table. The
method table uses the same structure as the \member{tp_methods} field
of the type object.
Here is an example:
......
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