PEP 697 – Limited C API for Extending Opaque Types
- Author:
- Petr Viktorin <encukou at gmail.com>
- Discussions-To:
- Discourse thread
- Status:
- Draft
- Type:
- Standards Track
- Created:
- 23-Aug-2022
- Python-Version:
- 3.12
- Post-History:
- 24-May-2022, 06-Oct-2022
Abstract
Add Limited C API for extending types with opaque data, by allowing code to only deal with data specific to a particular (sub)class.
Make the mechanism usable with PyHeapTypeObject
.
Motivation
The motivating problem this PEP solves is attaching C-level state
to custom types — i.e. metaclasses (subclasses of
type
).
This is often needed in “wrappers” that expose another type system (e.g. C++, Java, Rust) as Python classes. These typically need to attach information about the “wrapped” non-Python class to the Python type object.
This should be possible to do in the Limited API, so that the language wrappers or code generators can be used to create Stable ABI extensions. (See PEP 652 for the benefits of providing a stable ABI.)
Extending type
is an instance of a more general problem:
extending a class while maintaining loose coupling – that is,
not depending on the memory layout used by the superclass.
(That’s a lot of jargon; see Rationale for a concrete example of extending
list
.)
Rationale
Extending opaque types
In the Limited API, most struct
s are opaque: their size and memory layout
are not exposed, so they can be changed in new versions of CPython (or
alternate implementations of the C API).
This means that the usual subclassing pattern – making the struct
used for instances of the base type be the first element of the struct
used for instances of the derived type – does not work.
To illustrate with code, the example from the tutorial
extends PyListObject
(list
)
using the following struct
:
typedef struct {
PyListObject list;
int state;
} SubListObject;
This won’t compile in the Limited API, since PyListObject
is opaque (to
allow changes as features and optimizations are implemented).
Instead, this PEP proposes using a struct
with only the state needed
in the subclass, that is:
typedef struct {
int state;
} SubListState;
// (or just `typedef int SubListState;` in this case)
The subclass can now be completely decoupled from the memory layout (and size) of the superclass.
This is possible today. To use such a struct:
- when creating the class, use
PyListObject->tp_basicsize + sizeof(SubListState)
asPyType_Spec.basicsize
; - when accessing the data, use
PyListObject->tp_basicsize
as the offset into the instance (PyObject*
).
However, this has disadvantages:
- The base’s
basicsize
may not be properly aligned, causing issues on some architectures if not mitigated. (These issues can be particularly nasty if alignment changes in a new release.) PyTypeObject.tp_basicsize
is not exposed in the Limited API, so extensions that support Limited API need to usePyObject_GetAttrString(obj, "__basicsize__")
. This is cumbersome, and unsafe in edge cases (the Python attribute can be overridden).- Variable-size objects are not handled (see Extending variable-size objects below).
To make this easy (and even best practice for projects that choose loose coupling over maximum performance), this PEP proposes an API to:
- During class creation, specify that
SubListState
should be “appended” toPyListObject
, without passing any additional details aboutlist
. (The interpreter itself gets all necessary info, liketp_basicsize
, from the base).This will be specified by a negative
PyType_Spec.basicsize
:-sizeof(SubListState)
. - Given an instance, and the subclass
PyTypeObject*
, get a pointer to theSubListState
. A new function,PyObject_GetTypeData
, will be added for this.
The base class is not limited to PyListObject
, of course: it can be used to
extend any base class whose instance struct
is opaque, unstable across
releases, or not exposed at all – including type
(PyHeapTypeObject
) or third-party extensions
(for example, NumPy arrays [1]).
For cases where no additional state is needed, a zero basicsize
will be
allowed: in that case, the base’s tp_basicsize
will be inherited.
(This currently works, but lacks explicit documentation and tests.)
The tp_basicsize
of the new class will be set to the computed total size,
so code that inspects classes will continue working as before.
Extending variable-size objects
Additional considerations are needed to subclass
variable-sized objects
while maintaining loose coupling:
the variable-sized data can collide with subclass data (SubListState
in
the example above).
Currently, CPython doesn’t provide a way to prevent such collisions.
So, the proposed mechanism of extending opaque classes (negative
base->tp_itemsize
) will fail by default.
We could stop there, but since the motivating type — PyHeapTypeObject
—
is variable sized, we need a safe way to allow subclassing it.
A bit of background first:
Variable-size layouts
There are two main memory layouts for variable-sized objects.
In types such as int
or tuple
, the variable data is stored at a fixed
offset.
If subclasses need additional space, it must be added after any variable-sized
data:
PyTupleObject:
┌───────────────────┬───┬───┬╌╌╌╌┐
│ PyObject_VAR_HEAD │var. data │
└───────────────────┴───┴───┴╌╌╌╌┘
tuple subclass:
┌───────────────────┬───┬───┬╌╌╌╌┬─────────────┐
│ PyObject_VAR_HEAD │var. data │subclass data│
└───────────────────┴───┴───┴╌╌╌╌┴─────────────┘
In other types, like PyHeapTypeObject
, variable-sized data always lives at
the end of the instance’s memory area:
heap type:
┌───────────────────┬──────────────┬───┬───┬╌╌╌╌┐
│ PyObject_VAR_HEAD │Heap type data│var. data │
└───────────────────┴──────────────┴───┴───┴╌╌╌╌┘
type subclass:
┌───────────────────┬──────────────┬─────────────┬───┬───┬╌╌╌╌┐
│ PyObject_VAR_HEAD │Heap type data│subclass data│var. data │
└───────────────────┴──────────────┴─────────────┴───┴───┴╌╌╌╌┘
The first layout enables fast access to the items array. The second allows subclasses to ignore the variable-sized array (assuming they use offsets from the start of the object to access their data).
Since this PEP focuses on PyHeapTypeObject
, it proposes an API to allow
subclassing for the second variant.
Support for the first can be added later as an API-compatible change
(though your PEP author doubts it’d be worth the effort).
Extending classes with the PyHeapTypeObject
-like layout
This PEP proposes a type flag, Py_TPFLAGS_ITEMS_AT_END
, which will indicate
the PyHeapTypeObject
-like layout.
This can be set in two ways:
- the superclass can set the flag, allowing subclass authors to not care about
the fact that
itemsize
is involved, or - the new subclass sets the flag, asserting that the author knows the superclass is suitable (but perhaps hasn’t been updated to use the flag yet).
This flag will be necessary to extend a variable-sized type using negative
basicsize
.
An alternative to a flag would be to require subclass authors to know that the
base uses a compatible layout (e.g. from documentation).
A past version of this PEP proposed a new
PyType_Slot
for it.
This turned out to be hard to explain, and goes against the idea of decoupling
the subclass from the base layout.
The new flag will be used to allow safely extending variable-sized types:
creating a type with spec->basesize < 0
and base->tp_itemsize > 0
will require the flag.
Additionally, this PEP proposes a helper function to get the variable-sized
data of a given instance, if it uses the new Py_TPFLAGS_ITEMS_AT_END
flag.
This hides the necessary pointer arithmetic behind an API
that can potentially be adapted to other layouts in the future (including,
potentially, a VM-managed layout).
Big picture
To make it easier to verify that all cases are covered, here’s a scary-looking big-picture decision tree.
备注
The individual cases are easier to explain in isolation (see the reference implementation for draft docs).
spec->basesize > 0
: No change to the status quo. (The base class layout is known.)spec->basesize == 0
: (Inheriting the basicsize)base->tp_itemsize == 0
: The item size is set tospec->tp_itemsize
. (No change to status quo.)base->tp_itemsize > 0
: (Extending a variable-size class)spec->itemsize == 0
: The item size is inherited. (No change to status quo.)spec->itemsize > 0
: The item size is set. (This is hard to use safely, but it’s CPython’s current behavior.)
spec->basesize < 0
: (Extending the basicsize)base->tp_itemsize == 0
: (Extending a fixed-size class)spec->itemsize == 0
: The item size is set to 0.spec->itemsize > 0
: Fail. (We’d need to add anob_size
, which is only possible for trivial types – and the trivial layout must be known.)
base->tp_itemsize > 0
: (Extending a variable-size class)spec->itemsize == 0
: (Inheriting the itemsize)Py_TPFLAGS_ITEMS_AT_END
used: itemsize is inherited.Py_TPFLAGS_ITEMS_AT_END
not used: Fail. (Possible conflict.)
spec->itemsize > 0
: Fail. (Changing/extending the item size can’t be done safely.)
Setting spec->itemsize < 0
is always an error.
This PEP does not propose any mechanism to extend tp->itemsize
rather than just inherit it.
Relative member offsets
One more piece of the puzzle is PyMemberDef.offset
.
Extensions that use a subclass-specific struct
(SubListState
above)
will get a way to specify “relative” offsets (offsets based from this
struct
) rather than “absolute” ones (based off the PyObject
struct).
One way to do it would be to automatically assume “relative” offsets when creating a class using the new API. However, this implicit assumption would be too surprising.
To be more explicit, this PEP proposes a new flag for “relative” offsets. At least initially, this flag will serve only as a check against misuse (and a hint for reviewers). It must be present if used with the new API, and must not be used otherwise.
Specification
In the code blocks below, only function headers are part of the specification. Other code (the size/offset calculations) are details of the initial CPython implementation, and subject to change.
Relative basicsize
The basicsize
member of PyType_Spec
will be allowed to be zero or
negative.
In that case, its absolute value will specify how much extra storage space
instances of the new class require, in addition to the basicsize of the
base class.
That is, the basicsize of the resulting class will be:
type->tp_basicsize = _align(base->tp_basicsize) + _align(-spec->basicsize);
where _align
rounds up to a multiple of alignof(max_align_t)
.
When spec->basicsize
is zero, basicsize will be inherited
directly instead, i.e. set to base->tp_basicsize
without aligning.
(This already works; explicit tests and documentation will be added.)
On an instance, the memory area specific to a subclass – that is, the
“extra space” that subclass reserves in addition its base – will be available
through a new function, PyObject_GetTypeData
.
In CPython, this function will be defined as:
void *
PyObject_GetTypeData(PyObject *obj, PyTypeObject *cls) {
return (char *)obj + _align(cls->tp_base->tp_basicsize);
}
Another function will be added to retreive the size of this memory area:
Py_ssize_t
PyType_GetTypeDataSize(PyTypeObject *cls) {
return cls->tp_basicsize - _align(cls->tp_base->tp_basicsize);
}
The result may be higher than requested by -basicsize
. It is safe to
use all of it (e.g. with memset
).
The new *Get*
functions come with an important caveat, which will be
pointed out in documentation: They may only be used for classes created using
negative PyType_Spec.basicsize
. For other classes, their behavior is
undefined.
(Note that this allows the above code to assume cls->tp_base
is not
NULL
.)
Inheriting itemsize
When spec->itemsize
is zero, tp_itemsize
will be inherited
from the base.
(This already works; explicit tests and documentation will be added.)
A new type flag, Py_TPFLAGS_ITEMS_AT_END
, will be added.
This flag can only be set on types with non-zero tp_itemsize
.
It indicates that the variable-sized portion of an instance
is stored at the end of the instance’s memory.
The default metatype (PyType_Type
) will set this flag.
A new function, PyObject_GetItemData
, will be added to access the
memory reserved for variable-sized content of types with the new flag.
In CPython it will be defined as:
void *
PyObject_GetItemData(PyObject *obj) {
if (!PyType_HasFeature(Py_TYPE(obj), Py_TPFLAGS_ITEMS_AT_END) {
<fail with TypeError>
}
return (char *)obj + Py_TYPE(obj)->tp_basicsize;
}
This function will initially not be added to the Limited API.
Extending a class with positive base->itemsize
using
negative spec->basicsize
will fail unless Py_TPFLAGS_ITEMS_AT_END
is set, either on the base or in spec->flags
.
(See Extending variable-size objects for a full explanation.)
Extending a class with positive spec->itemsize
using negative
spec->basesize
will fail.
Relative member offsets
In types defined using negative PyType_Spec.basicsize
, the offsets of
members defined via Py_tp_members
must be relative to the
extra subclass data, rather than the full PyObject
struct.
This will be indicated by a new flag in PyMemberDef.flags
:
Py_RELATIVE_OFFSET
.
In the initial implementation, the new flag will be redundant. It only serves
to make the offset’s changed meaning clear, and to help avoid mistakes.
It will be an error to not use Py_RELATIVE_OFFSET
with negative
basicsize
, and it will be an error to use it in any other context
(i.e. direct or indirect calls to PyDescr_NewMember
, PyMember_GetOne
,
PyMember_SetOne
).
CPython will adjust the offset and clear the Py_RELATIVE_OFFSET
flag when
intitializing a type.
This means that:
- the created type’s
tp_members
will not match the input definition’sPy_tp_members
slot, and - any code that reads
tp_members
will not need to handle the flag.
List of new API
The following new functions/values are proposed.
These will be added to the Limited API/Stable ABI:
void * PyObject_GetTypeData(PyObject *obj, PyTypeObject *cls)
Py_ssize_t PyType_GetTypeDataSize(PyTypeObject *cls)
Py_TPFLAGS_ITEMS_AT_END
flag forPyTypeObject.tp_flags
Py_RELATIVE_OFFSET
flag forPyMemberDef.flags
These will be added to the public C API only:
void *PyObject_GetItemData(PyObject *obj)
Backwards Compatibility
No backwards compatibility concerns are known.
Assumptions
The implementation assumes that an instance’s memory
between type->tp_base->tp_basicsize
and type->tp_basicsize
offsets
“belongs” to type
(except variable-length types).
This is not documented explicitly, but CPython up to version 3.11 relied on it
when adding __dict__
to subclasses, so it should be safe.
Security Implications
None known.
Endorsements
The author of pybind11
originally requested solving the issue
(see point 2 in this list),
and has been verifying the implementation.
Florian from the HPy project said that the API looks good in general. (See below for a possible solution to performance concerns.)
How to Teach This
The initial implementation will include reference documentation and a What’s New entry, which should be enough for the target audience – authors of C extension libraries.
Reference Implementation
A reference implementation is in the extend-opaque branch
in the encukou/cpython
GitHub repo.
Possible Future Enhancements
Alignment & Performance
The proposed implementation may waste some space if instance structs
need smaller alignment than alignof(max_align_t)
.
Also, dealing with alignment makes the calculation slower than it could be
if we could rely on base->tp_basicsize
being properly aligned for the
subtype.
In other words, the proposed implementation focuses on safety and ease of use, and trades space and time for it. If it turns out that this is a problem, the implementation can be adjusted without breaking the API:
- The offset to the type-specific buffer can be stored, so
PyObject_GetTypeData
effectively becomes(char *)obj + cls->ht_typedataoffset
, possibly speeding things up at the cost of an extra pointer in the class. - Then, a new
PyType_Slot
can specify the desired alignment, to reduce space requirements for instances.
Other layouts for variable-size types
A flag like Py_TPFLAGS_ITEMS_AT_END
could be added to signal the
“tuple-like” layout described in Extending variable-size objects, and all mechanisms
this PEP proposes could be adapted to support it.
Other layouts could be added as well.
However, it seems there’d be very little practical benefit,
so it’s just a theoretical possibility.
Rejected Ideas
None yet.
Open Issues
Is negative basicsize the way to go? Should this be enabled by a flag instead?
Footnotes
Copyright
This document is placed in the public domain or under the CC0-1.0-Universal license, whichever is more permissive.
Source: https://github.com/python/peps/blob/main/pep-0697.rst
Last modified: 2022-12-01 15:55:12 GMT