Type Object Structures
**********************

Perhaps one of the most important structures of the Python object
system is the structure that defines a new type: the "PyTypeObject"
structure.  Type objects can be handled using any of the "PyObject_*"
or "PyType_*" functions, but do not offer much that's interesting to
most Python applications. These objects are fundamental to how objects
behave, so they are very important to the interpreter itself and to
any extension module that implements new types.

Type objects are fairly large compared to most of the standard types.
The reason for the size is that each type object stores a large number
of values, mostly C function pointers, each of which implements a
small part of the type's functionality.  The fields of the type object
are examined in detail in this section.  The fields will be described
in the order in which they occur in the structure.

In addition to the following quick reference, the Przykłady section
provides at-a-glance insight into the meaning and use of
"PyTypeObject".


Quick Reference
===============


"tp slots"
----------

+--------------------+--------------------+--------------------+----+----+----+----+
| PyTypeObject Slot  | Type               | special            | Info [2]          |
| [1]                |                    | methods/attrs      |                   |
|                    |                    |                    +----+----+----+----+
|                    |                    |                    | O  | T  | D  | I  |
|                    |                    |                    |    |    |    |    |
|====================|====================|====================|====|====|====|====|
| <R> "tp_name"      | const char *       | __name__           | X  | X  |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_basicsize"     | "Py_ssize_t"       |                    | X  | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_itemsize"      | "Py_ssize_t"       |                    |    | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_dealloc"       | "destructor"       |                    | X  | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_vectorcall_of  | "Py_ssize_t"       |                    |    | X  |    | X  |
| fset"              |                    |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ("tp_getattr")     | "getattrfunc"      | __getattribute__,  |    |    |    | G  |
|                    |                    | __getattr__        |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ("tp_setattr")     | "setattrfunc"      | __setattr__,       |    |    |    | G  |
|                    |                    | __delattr__        |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_as_async"      | "PyAsyncMethods" * | sub-slots          |    |    |    | %  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_repr"          | "reprfunc"         | __repr__           | X  | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_as_number"     | "PyNumberMethods"  | sub-slots          |    |    |    | %  |
|                    | *                  |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_as_sequence"   | "PySequenceMethod  | sub-slots          |    |    |    | %  |
|                    | s" *               |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_as_mapping"    | "PyMappingMethods" | sub-slots          |    |    |    | %  |
|                    | *                  |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_hash"          | "hashfunc"         | __hash__           | X  |    |    | G  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_call"          | "ternaryfunc"      | __call__           |    | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_str"           | "reprfunc"         | __str__            | X  |    |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_getattro"      | "getattrofunc"     | __getattribute__,  | X  | X  |    | G  |
|                    |                    | __getattr__        |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_setattro"      | "setattrofunc"     | __setattr__,       | X  | X  |    | G  |
|                    |                    | __delattr__        |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_as_buffer"     | "PyBufferProcs" *  | sub-slots          |    |    |    | %  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_flags"         | nieoznaczony typ   |                    | X  | X  |    | ?  |
|                    | długi              |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_doc"           | const char *       | __doc__            | X  | X  |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_traverse"      | "traverseproc"     |                    |    | X  |    | G  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_clear"         | "inquiry"          |                    |    | X  |    | G  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_richcompare"   | "richcmpfunc"      | __lt__, __le__,    | X  |    |    | G  |
|                    |                    | __eq__, __ne__,    |    |    |    |    |
|                    |                    | __gt__, __ge__     |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ("tp_weaklistoffs  | "Py_ssize_t"       |                    |    | X  |    | ?  |
| et")               |                    |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_iter"          | "getiterfunc"      | __iter__           |    |    |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_iternext"      | "iternextfunc"     | __next__           |    |    |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_methods"       | "PyMethodDef" []   |                    | X  | X  |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_members"       | "PyMemberDef" []   |                    |    | X  |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_getset"        | "PyGetSetDef" []   |                    | X  | X  |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_base"          | "PyTypeObject" *   | __base__           |    |    | X  |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_dict"          | "PyObject" *       | __dict__           |    |    | ?  |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_descr_get"     | "descrgetfunc"     | __get__            |    |    |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_descr_set"     | "descrsetfunc"     | __set__,           |    |    |    | X  |
|                    |                    | __delete__         |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ("tp_dictoffset")  | "Py_ssize_t"       |                    |    | X  |    | ?  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_init"          | "initproc"         | __init__           | X  | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_alloc"         | "allocfunc"        |                    | X  |    | ?  | ?  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_new"           | "newfunc"          | __new__            | X  | X  | ?  | ?  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_free"          | "freefunc"         |                    | X  | X  | ?  | ?  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_is_gc"         | "inquiry"          |                    |    | X  |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| <"tp_bases">       | "PyObject" *       | __bases__          |    |    | ~  |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| <"tp_mro">         | "PyObject" *       | __mro__            |    |    | ~  |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ["tp_cache"]       | "PyObject" *       |                    |    |    |         |
+--------------------+--------------------+--------------------+----+----+----+----+
| ["tp_subclasses"]  | void *             | __subclasses__     |    |    |         |
+--------------------+--------------------+--------------------+----+----+----+----+
| ["tp_weaklist"]    | "PyObject" *       |                    |    |    |         |
+--------------------+--------------------+--------------------+----+----+----+----+
| ("tp_del")         | "destructor"       |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ["tp_version_tag"] | nieoznaczony typ   |                    |    |    |         |
|                    | int                |                    |    |    |         |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_finalize"      | "destructor"       | __del__            |    |    |    | X  |
+--------------------+--------------------+--------------------+----+----+----+----+
| "tp_vectorcall"    | "vectorcallfunc"   |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+
| ["tp_watched"]     | nieoznaczony typ   |                    |    |    |    |    |
|                    | znakowy            |                    |    |    |    |    |
+--------------------+--------------------+--------------------+----+----+----+----+

[1] **()**: A slot name in parentheses indicates it is (effectively)
    deprecated.

    **<>**: Names in angle brackets should be initially set to "NULL"
    and treated as read-only.

    **[]**: Names in square brackets are for internal use only.

    **<R>** (as a prefix) means the field is required (must be
    non-"NULL").

[2] Columns:

    **"O"**:  set on "PyBaseObject_Type"

    **"T"**:  set on "PyType_Type"

    **"D"**:  default (if slot is set to "NULL")

       X - PyType_Ready sets this value if it is NULL
       ~ - PyType_Ready always sets this value (it should be NULL)
       ? - PyType_Ready may set this value depending on other slots

       Also see the inheritance column ("I").

    **"I"**:  inheritance

       X - type slot is inherited via *PyType_Ready* if defined with a *NULL* value
       % - the slots of the sub-struct are inherited individually
       G - inherited, but only in combination with other slots; see the slot's description
       ? - it's complicated; see the slot's description

    Note that some slots are effectively inherited through the normal
    attribute lookup chain.


sub-slots
---------

+----------------------------+-------------------+--------------+
| Slot                       | Type              | special      |
|                            |                   | methods      |
|============================|===================|==============|
| "am_await"                 | "unaryfunc"       | __await__    |
+----------------------------+-------------------+--------------+
| "am_aiter"                 | "unaryfunc"       | __aiter__    |
+----------------------------+-------------------+--------------+
| "am_anext"                 | "unaryfunc"       | __anext__    |
+----------------------------+-------------------+--------------+
| "am_send"                  | "sendfunc"        |              |
+----------------------------+-------------------+--------------+
|                                                               |
+----------------------------+-------------------+--------------+
| "nb_add"                   | "binaryfunc"      | __add__      |
|                            |                   | __radd__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_add"           | "binaryfunc"      | __iadd__     |
+----------------------------+-------------------+--------------+
| "nb_subtract"              | "binaryfunc"      | __sub__      |
|                            |                   | __rsub__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_subtract"      | "binaryfunc"      | __isub__     |
+----------------------------+-------------------+--------------+
| "nb_multiply"              | "binaryfunc"      | __mul__      |
|                            |                   | __rmul__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_multiply"      | "binaryfunc"      | __imul__     |
+----------------------------+-------------------+--------------+
| "nb_remainder"             | "binaryfunc"      | __mod__      |
|                            |                   | __rmod__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_remainder"     | "binaryfunc"      | __imod__     |
+----------------------------+-------------------+--------------+
| "nb_divmod"                | "binaryfunc"      | __divmod__   |
|                            |                   | __rdivmod__  |
+----------------------------+-------------------+--------------+
| "nb_power"                 | "ternaryfunc"     | __pow__      |
|                            |                   | __rpow__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_power"         | "ternaryfunc"     | __ipow__     |
+----------------------------+-------------------+--------------+
| "nb_negative"              | "unaryfunc"       | __neg__      |
+----------------------------+-------------------+--------------+
| "nb_positive"              | "unaryfunc"       | __pos__      |
+----------------------------+-------------------+--------------+
| "nb_absolute"              | "unaryfunc"       | __abs__      |
+----------------------------+-------------------+--------------+
| "nb_bool"                  | "inquiry"         | __bool__     |
+----------------------------+-------------------+--------------+
| "nb_invert"                | "unaryfunc"       | __invert__   |
+----------------------------+-------------------+--------------+
| "nb_lshift"                | "binaryfunc"      | __lshift__   |
|                            |                   | __rlshift__  |
+----------------------------+-------------------+--------------+
| "nb_inplace_lshift"        | "binaryfunc"      | __ilshift__  |
+----------------------------+-------------------+--------------+
| "nb_rshift"                | "binaryfunc"      | __rshift__   |
|                            |                   | __rrshift__  |
+----------------------------+-------------------+--------------+
| "nb_inplace_rshift"        | "binaryfunc"      | __irshift__  |
+----------------------------+-------------------+--------------+
| "nb_and"                   | "binaryfunc"      | __and__      |
|                            |                   | __rand__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_and"           | "binaryfunc"      | __iand__     |
+----------------------------+-------------------+--------------+
| "nb_xor"                   | "binaryfunc"      | __xor__      |
|                            |                   | __rxor__     |
+----------------------------+-------------------+--------------+
| "nb_inplace_xor"           | "binaryfunc"      | __ixor__     |
+----------------------------+-------------------+--------------+
| "nb_or"                    | "binaryfunc"      | __or__       |
|                            |                   | __ror__      |
+----------------------------+-------------------+--------------+
| "nb_inplace_or"            | "binaryfunc"      | __ior__      |
+----------------------------+-------------------+--------------+
| "nb_int"                   | "unaryfunc"       | __int__      |
+----------------------------+-------------------+--------------+
| "nb_reserved"              | void *            |              |
+----------------------------+-------------------+--------------+
| "nb_float"                 | "unaryfunc"       | __float__    |
+----------------------------+-------------------+--------------+
| "nb_floor_divide"          | "binaryfunc"      | __floordiv__ |
+----------------------------+-------------------+--------------+
| "nb_inplace_floor_divide"  | "binaryfunc"      | __ifloordiv  |
|                            |                   | __           |
+----------------------------+-------------------+--------------+
| "nb_true_divide"           | "binaryfunc"      | __truediv__  |
+----------------------------+-------------------+--------------+
| "nb_inplace_true_divide"   | "binaryfunc"      | __itruediv__ |
+----------------------------+-------------------+--------------+
| "nb_index"                 | "unaryfunc"       | __index__    |
+----------------------------+-------------------+--------------+
| "nb_matrix_multiply"       | "binaryfunc"      | __matmul__   |
|                            |                   | __rmatmul__  |
+----------------------------+-------------------+--------------+
| "nb_inplace_matrix_multip  | "binaryfunc"      | __imatmul__  |
| ly"                        |                   |              |
+----------------------------+-------------------+--------------+
|                                                               |
+----------------------------+-------------------+--------------+
| "mp_length"                | "lenfunc"         | __len__      |
+----------------------------+-------------------+--------------+
| "mp_subscript"             | "binaryfunc"      | __getitem__  |
+----------------------------+-------------------+--------------+
| "mp_ass_subscript"         | "objobjargproc"   | __setitem__, |
|                            |                   | __delitem__  |
+----------------------------+-------------------+--------------+
|                                                               |
+----------------------------+-------------------+--------------+
| "sq_length"                | "lenfunc"         | __len__      |
+----------------------------+-------------------+--------------+
| "sq_concat"                | "binaryfunc"      | __add__      |
+----------------------------+-------------------+--------------+
| "sq_repeat"                | "ssizeargfunc"    | __mul__      |
+----------------------------+-------------------+--------------+
| "sq_item"                  | "ssizeargfunc"    | __getitem__  |
+----------------------------+-------------------+--------------+
| "sq_ass_item"              | "ssizeobjargproc" | __setitem__  |
|                            |                   | __delitem__  |
+----------------------------+-------------------+--------------+
| "sq_contains"              | "objobjproc"      | __contains__ |
+----------------------------+-------------------+--------------+
| "sq_inplace_concat"        | "binaryfunc"      | __iadd__     |
+----------------------------+-------------------+--------------+
| "sq_inplace_repeat"        | "ssizeargfunc"    | __imul__     |
+----------------------------+-------------------+--------------+
|                                                               |
+----------------------------+-------------------+--------------+
| "bf_getbuffer"             | "getbufferproc()" | __buffer__   |
+----------------------------+-------------------+--------------+
| "bf_releasebuffer"         | "releasebufferpr  | __release_b  |
|                            | oc()"             | uffer__      |
+----------------------------+-------------------+--------------+


slot typedefs
-------------

+-------------------------------+-------------------------------+------------------------+
| typedef                       | Parameter Types               | Return Type            |
|===============================|===============================|========================|
| "allocfunc"                   | "PyTypeObject" * "Py_ssize_t" | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "destructor"                  | "PyObject" *                  | void                   |
+-------------------------------+-------------------------------+------------------------+
| "freefunc"                    | void *                        | void                   |
+-------------------------------+-------------------------------+------------------------+
| "traverseproc"                | "PyObject" * "visitproc" void | int                    |
|                               | *                             |                        |
+-------------------------------+-------------------------------+------------------------+
| "newfunc"                     | "PyTypeObject" * "PyObject" * | "PyObject" *           |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "initproc"                    | "PyObject" * "PyObject" *     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "reprfunc"                    | "PyObject" *                  | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "getattrfunc"                 | "PyObject" * const char *     | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "setattrfunc"                 | "PyObject" * const char *     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "getattrofunc"                | "PyObject" * "PyObject" *     | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "setattrofunc"                | "PyObject" * "PyObject" *     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "descrgetfunc"                | "PyObject" * "PyObject" *     | "PyObject" *           |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "descrsetfunc"                | "PyObject" * "PyObject" *     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "hashfunc"                    | "PyObject" *                  | Py_hash_t              |
+-------------------------------+-------------------------------+------------------------+
| "richcmpfunc"                 | "PyObject" * "PyObject" * int | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "getiterfunc"                 | "PyObject" *                  | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "iternextfunc"                | "PyObject" *                  | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "lenfunc"                     | "PyObject" *                  | "Py_ssize_t"           |
+-------------------------------+-------------------------------+------------------------+
| "getbufferproc"               | "PyObject" * "Py_buffer" *    | int                    |
|                               | int                           |                        |
+-------------------------------+-------------------------------+------------------------+
| "releasebufferproc"           | "PyObject" * "Py_buffer" *    | void                   |
+-------------------------------+-------------------------------+------------------------+
| "inquiry"                     | "PyObject" *                  | int                    |
+-------------------------------+-------------------------------+------------------------+
| "unaryfunc"                   | "PyObject" *                  | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "binaryfunc"                  | "PyObject" * "PyObject" *     | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "ternaryfunc"                 | "PyObject" * "PyObject" *     | "PyObject" *           |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "ssizeargfunc"                | "PyObject" * "Py_ssize_t"     | "PyObject" *           |
+-------------------------------+-------------------------------+------------------------+
| "ssizeobjargproc"             | "PyObject" * "Py_ssize_t"     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+
| "objobjproc"                  | "PyObject" * "PyObject" *     | int                    |
+-------------------------------+-------------------------------+------------------------+
| "objobjargproc"               | "PyObject" * "PyObject" *     | int                    |
|                               | "PyObject" *                  |                        |
+-------------------------------+-------------------------------+------------------------+

See Slot Type typedefs below for more detail.


PyTypeObject Definition
=======================

The structure definition for "PyTypeObject" can be found in
"Include/cpython/object.h".  For convenience of reference, this
repeats the definition found there:

   typedef struct _typeobject {
       PyObject_VAR_HEAD
       const char *tp_name; /* For printing, in format "<module>.<name>" */
       Py_ssize_t tp_basicsize, tp_itemsize; /* For allocation */

       /* Methods to implement standard operations */

       destructor tp_dealloc;
       Py_ssize_t tp_vectorcall_offset;
       getattrfunc tp_getattr;
       setattrfunc tp_setattr;
       PyAsyncMethods *tp_as_async; /* formerly known as tp_compare (Python 2)
                                       or tp_reserved (Python 3) */
       reprfunc tp_repr;

       /* Method suites for standard classes */

       PyNumberMethods *tp_as_number;
       PySequenceMethods *tp_as_sequence;
       PyMappingMethods *tp_as_mapping;

       /* More standard operations (here for binary compatibility) */

       hashfunc tp_hash;
       ternaryfunc tp_call;
       reprfunc tp_str;
       getattrofunc tp_getattro;
       setattrofunc tp_setattro;

       /* Functions to access object as input/output buffer */
       PyBufferProcs *tp_as_buffer;

       /* Flags to define presence of optional/expanded features */
       unsigned long tp_flags;

       const char *tp_doc; /* Documentation string */

       /* Assigned meaning in release 2.0 */
       /* call function for all accessible objects */
       traverseproc tp_traverse;

       /* delete references to contained objects */
       inquiry tp_clear;

       /* Assigned meaning in release 2.1 */
       /* rich comparisons */
       richcmpfunc tp_richcompare;

       /* weak reference enabler */
       Py_ssize_t tp_weaklistoffset;

       /* Iterators */
       getiterfunc tp_iter;
       iternextfunc tp_iternext;

       /* Attribute descriptor and subclassing stuff */
       PyMethodDef *tp_methods;
       PyMemberDef *tp_members;
       PyGetSetDef *tp_getset;
       // Strong reference on a heap type, borrowed reference on a static type
       PyTypeObject *tp_base;
       PyObject *tp_dict;
       descrgetfunc tp_descr_get;
       descrsetfunc tp_descr_set;
       Py_ssize_t tp_dictoffset;
       initproc tp_init;
       allocfunc tp_alloc;
       newfunc tp_new;
       freefunc tp_free; /* Low-level free-memory routine */
       inquiry tp_is_gc; /* For PyObject_IS_GC */
       PyObject *tp_bases;
       PyObject *tp_mro; /* method resolution order */
       PyObject *tp_cache; /* no longer used */
       void *tp_subclasses;  /* for static builtin types this is an index */
       PyObject *tp_weaklist; /* not used for static builtin types */
       destructor tp_del;

       /* Type attribute cache version tag. Added in version 2.6.
        * If zero, the cache is invalid and must be initialized.
        */
       unsigned int tp_version_tag;

       destructor tp_finalize;
       vectorcallfunc tp_vectorcall;

       /* bitset of which type-watchers care about this type */
       unsigned char tp_watched;

       /* Number of tp_version_tag values used.
        * Set to _Py_ATTR_CACHE_UNUSED if the attribute cache is
        * disabled for this type (e.g. due to custom MRO entries).
        * Otherwise, limited to MAX_VERSIONS_PER_CLASS (defined elsewhere).
        */
       uint16_t tp_versions_used;
   } PyTypeObject;


PyObject Slots
==============

The type object structure extends the "PyVarObject" structure. The
"ob_size" field is used for dynamic types (created by "type_new()",
usually called from a class statement). Note that "PyType_Type" (the
metatype) initializes "tp_itemsize", which means that its instances
(i.e. type objects) *must* have the "ob_size" field.

"PyObject.ob_refcnt"

   The type object's reference count is initialized to "1" by the
   "PyObject_HEAD_INIT" macro.  Note that for statically allocated
   type objects, the type's instances (objects whose "ob_type" points
   back to the type) do *not* count as references.  But for
   dynamically allocated type objects, the instances *do* count as
   references.

   **Inheritance:**

   This field is not inherited by subtypes.

"PyObject.ob_type"

   This is the type's type, in other words its metatype.  It is
   initialized by the argument to the "PyObject_HEAD_INIT" macro, and
   its value should normally be "&PyType_Type".  However, for
   dynamically loadable extension modules that must be usable on
   Windows (at least), the compiler complains that this is not a valid
   initializer.  Therefore, the convention is to pass "NULL" to the
   "PyObject_HEAD_INIT" macro and to initialize this field explicitly
   at the start of the module's initialization function, before doing
   anything else.  This is typically done like this:

      Foo_Type.ob_type = &PyType_Type;

   This should be done before any instances of the type are created.
   "PyType_Ready()" checks if "ob_type" is "NULL", and if so,
   initializes it to the "ob_type" field of the base class.
   "PyType_Ready()" will not change this field if it is non-zero.

   **Inheritance:**

   This field is inherited by subtypes.


PyVarObject Slots
=================

"PyVarObject.ob_size"

   For statically allocated type objects, this should be initialized
   to zero. For dynamically allocated type objects, this field has a
   special internal meaning.

   This field should be accessed using the "Py_SIZE()" macro.

   **Inheritance:**

   This field is not inherited by subtypes.


PyTypeObject Slots
==================

Each slot has a section describing inheritance.  If "PyType_Ready()"
may set a value when the field is set to "NULL" then there will also
be a "Default" section.  (Note that many fields set on
"PyBaseObject_Type" and "PyType_Type" effectively act as defaults.)

const char *PyTypeObject.tp_name

   Pointer to a NUL-terminated string containing the name of the type.
   For types that are accessible as module globals, the string should
   be the full module name, followed by a dot, followed by the type
   name; for built-in types, it should be just the type name.  If the
   module is a submodule of a package, the full package name is part
   of the full module name.  For example, a type named "T" defined in
   module "M" in subpackage "Q" in package "P" should have the
   "tp_name" initializer ""P.Q.M.T"".

   For dynamically allocated type objects, this should just be the
   type name, and the module name explicitly stored in the type dict
   as the value for key "'__module__'".

   For statically allocated type objects, the *tp_name* field should
   contain a dot. Everything before the last dot is made accessible as
   the "__module__" attribute, and everything after the last dot is
   made accessible as the "__name__" attribute.

   If no dot is present, the entire "tp_name" field is made accessible
   as the "__name__" attribute, and the "__module__" attribute is
   undefined (unless explicitly set in the dictionary, as explained
   above).  This means your type will be impossible to pickle.
   Additionally, it will not be listed in module documentations
   created with pydoc.

   This field must not be "NULL".  It is the only required field in
   "PyTypeObject()" (other than potentially "tp_itemsize").

   **Inheritance:**

   This field is not inherited by subtypes.

Py_ssize_t PyTypeObject.tp_basicsize
Py_ssize_t PyTypeObject.tp_itemsize

   These fields allow calculating the size in bytes of instances of
   the type.

   There are two kinds of types: types with fixed-length instances
   have a zero "tp_itemsize" field, types with variable-length
   instances have a non-zero "tp_itemsize" field.  For a type with
   fixed-length instances, all instances have the same size, given in
   "tp_basicsize". (Exceptions to this rule can be made using
   "PyUnstable_Object_GC_NewWithExtraData()".)

   For a type with variable-length instances, the instances must have
   an "ob_size" field, and the instance size is "tp_basicsize" plus N
   times "tp_itemsize", where N is the "length" of the object.

   Functions like "PyObject_NewVar()" will take the value of N as an
   argument, and store in the instance's "ob_size" field. Note that
   the "ob_size" field may later be used for other purposes. For
   example, "int" instances use the bits of "ob_size" in an
   implementation-defined way; the underlying storage and its size
   should be accessed using "PyLong_Export()".

   Informacja:

     The "ob_size" field should be accessed using the "Py_SIZE()" and
     "Py_SET_SIZE()" macros.

   Also, the presence of an "ob_size" field in the instance layout
   doesn't mean that the instance structure is variable-length. For
   example, the "list" type has fixed-length instances, yet those
   instances have a "ob_size" field. (As with "int", avoid reading
   lists' "ob_size" directly. Call "PyList_Size()" instead.)

   The "tp_basicsize" includes size needed for data of the type's
   "tp_base", plus any extra data needed by each instance.

   The  correct way to set "tp_basicsize" is to use the "sizeof"
   operator on the struct used to declare the instance layout. This
   struct must include the struct used to declare the base type. In
   other words, "tp_basicsize" must be greater than or equal to the
   base's "tp_basicsize".

   Since every type is a subtype of "object", this struct must include
   "PyObject" or "PyVarObject" (depending on whether "ob_size" should
   be included). These are usually defined by the macro
   "PyObject_HEAD" or "PyObject_VAR_HEAD", respectively.

   The basic size does not include the GC header size, as that header
   is not part of "PyObject_HEAD".

   For cases where struct used to declare the base type is unknown,
   see "PyType_Spec.basicsize" and "PyType_FromMetaclass()".

   Notes about alignment:

   * "tp_basicsize" must be a multiple of "_Alignof(PyObject)". When
     using "sizeof" on a "struct" that includes "PyObject_HEAD", as
     recommended, the compiler ensures this. When not using a C
     "struct", or when using compiler extensions like
     "__attribute__((packed))", it is up to you.

   * If the variable items require a particular alignment,
     "tp_basicsize" and "tp_itemsize" must each be a multiple of that
     alignment. For example, if a type's variable part stores a
     "double", it is your responsibility that both fields are a
     multiple of "_Alignof(double)".

   **Inheritance:**

   These fields are inherited separately by subtypes. (That is, if the
   field is set to zero, "PyType_Ready()" will copy the value from the
   base type, indicating that the instances do not need additional
   storage.)

   If the base type has a non-zero "tp_itemsize", it is generally not
   safe to set "tp_itemsize" to a different non-zero value in a
   subtype (though this depends on the implementation of the base
   type).

destructor PyTypeObject.tp_dealloc

   * The corresponding slot ID "Py_tp_dealloc" is part of the
   stabilnego ABI.*

   A pointer to the instance destructor function.  The function
   signature is:

      void tp_dealloc(PyObject *self);

   The destructor function should remove all references which the
   instance owns (e.g., call "Py_CLEAR()"), free all memory buffers
   owned by the instance, and call the type's "tp_free" function to
   free the object itself.

   If you may call functions that may set the error indicator, you
   must use "PyErr_GetRaisedException()" and
   "PyErr_SetRaisedException()" to ensure you don't clobber a
   preexisting error indicator (the deallocation could have occurred
   while processing a different error):

      static void
      foo_dealloc(foo_object *self)
      {
          PyObject *et, *ev, *etb;
          PyObject *exc = PyErr_GetRaisedException();
          ...
          PyErr_SetRaisedException(exc);
      }

   The dealloc handler itself must not raise an exception; if it hits
   an error case it should call "PyErr_FormatUnraisable()" to log (and
   clear) an unraisable exception.

   No guarantees are made about when an object is destroyed, except:

   * Python will destroy an object immediately or some time after the
     final reference to the object is deleted, unless its finalizer
     ("tp_finalize") subsequently resurrects the object.

   * An object will not be destroyed while it is being automatically
     finalized ("tp_finalize") or automatically cleared ("tp_clear").

   CPython currently destroys an object immediately from "Py_DECREF()"
   when the new reference count is zero, but this may change in a
   future version.

   It is recommended to call "PyObject_CallFinalizerFromDealloc()" at
   the beginning of "tp_dealloc" to guarantee that the object is
   always finalized before destruction.

   If the type supports garbage collection (the "Py_TPFLAGS_HAVE_GC"
   flag is set), the destructor should call "PyObject_GC_UnTrack()"
   before clearing any member fields.

   It is permissible to call "tp_clear" from "tp_dealloc" to reduce
   code duplication and to guarantee that the object is always cleared
   before destruction.  Beware that "tp_clear" might have already been
   called.

   If the type is heap allocated ("Py_TPFLAGS_HEAPTYPE"), the
   deallocator should release the owned reference to its type object
   (via "Py_DECREF()") after calling the type deallocator.  See the
   example code below.:

      static void
      foo_dealloc(PyObject *op)
      {
         foo_object *self = (foo_object *) op;
         PyObject_GC_UnTrack(self);
         Py_CLEAR(self->ref);
         Py_TYPE(self)->tp_free(self);
      }

   "tp_dealloc" must leave the exception status unchanged.  If it
   needs to call something that might raise an exception, the
   exception state must be backed up first and restored later (after
   logging any exceptions with "PyErr_WriteUnraisable()").

   Przykład:

      static void
      foo_dealloc(PyObject *self)
      {
          PyObject *exc = PyErr_GetRaisedException();

          if (PyObject_CallFinalizerFromDealloc(self) < 0) {
              // self was resurrected.
              goto done;
          }

          PyTypeObject *tp = Py_TYPE(self);

          if (tp->tp_flags & Py_TPFLAGS_HAVE_GC) {
              PyObject_GC_UnTrack(self);
          }

          // Optional, but convenient to avoid code duplication.
          if (tp->tp_clear && tp->tp_clear(self) < 0) {
              PyErr_WriteUnraisable(self);
          }

          // Any additional destruction goes here.

          tp->tp_free(self);
          self = NULL;  // In case PyErr_WriteUnraisable() is called below.

          if (tp->tp_flags & Py_TPFLAGS_HEAPTYPE) {
              Py_CLEAR(tp);
          }

      done:
          // Optional, if something was called that might have raised an
          // exception.
          if (PyErr_Occurred()) {
              PyErr_WriteUnraisable(self);
          }
          PyErr_SetRaisedException(exc);
      }

   "tp_dealloc" may be called from any Python thread, not just the
   thread which created the object (if the object becomes part of a
   refcount cycle, that cycle might be collected by a garbage
   collection on any thread).  This is not a problem for Python API
   calls, since the thread on which "tp_dealloc" is called with an
   *attached thread state*.  However, if the object being destroyed in
   turn destroys objects from some other C library, care should be
   taken to ensure that destroying those objects on the thread which
   called "tp_dealloc" will not violate any assumptions of the
   library.

   **Inheritance:**

   This field is inherited by subtypes.

   Zobacz także:

     Object Life Cycle for details about how this slot relates to
     other slots.

Py_ssize_t PyTypeObject.tp_vectorcall_offset

   An optional offset to a per-instance function that implements
   calling the object using the vectorcall protocol, a more efficient
   alternative of the simpler "tp_call".

   This field is only used if the flag "Py_TPFLAGS_HAVE_VECTORCALL" is
   set. If so, this must be a positive integer containing the offset
   in the instance of a "vectorcallfunc" pointer.

   The *vectorcallfunc* pointer may be "NULL", in which case the
   instance behaves as if "Py_TPFLAGS_HAVE_VECTORCALL" was not set:
   calling the instance falls back to "tp_call".

   Any class that sets "Py_TPFLAGS_HAVE_VECTORCALL" must also set
   "tp_call" and make sure its behaviour is consistent with the
   *vectorcallfunc* function. This can be done by setting *tp_call* to
   "PyVectorcall_Call()".

   Zmienione w wersji 3.8: Before version 3.8, this slot was named
   "tp_print". In Python 2.x, it was used for printing to a file. In
   Python 3.0 to 3.7, it was unused.

   Zmienione w wersji 3.12: Before version 3.12, it was not
   recommended for mutable heap types to implement the vectorcall
   protocol. When a user sets "__call__" in Python code, only
   *tp_call* is updated, likely making it inconsistent with the
   vectorcall function. Since 3.12, setting "__call__" will disable
   vectorcall optimization by clearing the
   "Py_TPFLAGS_HAVE_VECTORCALL" flag.

   **Inheritance:**

   This field is always inherited. However, the
   "Py_TPFLAGS_HAVE_VECTORCALL" flag is not always inherited. If it's
   not set, then the subclass won't use vectorcall, except when
   "PyVectorcall_Call()" is explicitly called.

getattrfunc PyTypeObject.tp_getattr

   * The corresponding slot ID "Py_tp_getattr" is part of the
   stabilnego ABI.*

   An optional pointer to the get-attribute-string function.

   This field is deprecated.  When it is defined, it should point to a
   function that acts the same as the "tp_getattro" function, but
   taking a C string instead of a Python string object to give the
   attribute name.

   **Inheritance:**

   Group: "tp_getattr", "tp_getattro"

   This field is inherited by subtypes together with "tp_getattro": a
   subtype inherits both "tp_getattr" and "tp_getattro" from its base
   type when the subtype's "tp_getattr" and "tp_getattro" are both
   "NULL".

setattrfunc PyTypeObject.tp_setattr

   * The corresponding slot ID "Py_tp_setattr" is part of the
   stabilnego ABI.*

   An optional pointer to the function for setting and deleting
   attributes.

   This field is deprecated.  When it is defined, it should point to a
   function that acts the same as the "tp_setattro" function, but
   taking a C string instead of a Python string object to give the
   attribute name.

   **Inheritance:**

   Group: "tp_setattr", "tp_setattro"

   This field is inherited by subtypes together with "tp_setattro": a
   subtype inherits both "tp_setattr" and "tp_setattro" from its base
   type when the subtype's "tp_setattr" and "tp_setattro" are both
   "NULL".

PyAsyncMethods *PyTypeObject.tp_as_async

   Pointer to an additional structure that contains fields relevant
   only to objects which implement *awaitable* and *asynchronous
   iterator* protocols at the C-level.  See Async Object Structures
   for details.

    Dodane w wersji 3.5: Formerly known as "tp_compare" and
   "tp_reserved".

   **Inheritance:**

   The "tp_as_async" field is not inherited, but the contained fields
   are inherited individually.

reprfunc PyTypeObject.tp_repr

   * The corresponding slot ID "Py_tp_repr" is part of the stabilnego
   ABI.*

   An optional pointer to a function that implements the built-in
   function "repr()".

   The signature is the same as for "PyObject_Repr()":

      PyObject *tp_repr(PyObject *self);

   The function must return a string or a Unicode object.  Ideally,
   this function should return a string that, when passed to "eval()",
   given a suitable environment, returns an object with the same
   value.  If this is not feasible, it should return a string starting
   with "'<'" and ending with "'>'" from which both the type and the
   value of the object can be deduced.

   **Inheritance:**

   This field is inherited by subtypes.

   **Default:**

   When this field is not set, a string of the form "<%s object at
   %p>" is returned, where "%s" is replaced by the type name, and "%p"
   by the object's memory address.

PyNumberMethods *PyTypeObject.tp_as_number

   Pointer to an additional structure that contains fields relevant
   only to objects which implement the number protocol.  These fields
   are documented in Number Object Structures.

   **Inheritance:**

   The "tp_as_number" field is not inherited, but the contained fields
   are inherited individually.

PySequenceMethods *PyTypeObject.tp_as_sequence

   Pointer to an additional structure that contains fields relevant
   only to objects which implement the sequence protocol.  These
   fields are documented in Sequence Object Structures.

   **Inheritance:**

   The "tp_as_sequence" field is not inherited, but the contained
   fields are inherited individually.

PyMappingMethods *PyTypeObject.tp_as_mapping

   Pointer to an additional structure that contains fields relevant
   only to objects which implement the mapping protocol.  These fields
   are documented in Mapping Object Structures.

   **Inheritance:**

   The "tp_as_mapping" field is not inherited, but the contained
   fields are inherited individually.

hashfunc PyTypeObject.tp_hash

   * The corresponding slot ID "Py_tp_hash" is part of the stabilnego
   ABI.*

   An optional pointer to a function that implements the built-in
   function "hash()".

   The signature is the same as for "PyObject_Hash()":

      Py_hash_t tp_hash(PyObject *);

   The value "-1" should not be returned as a normal return value;
   when an error occurs during the computation of the hash value, the
   function should set an exception and return "-1".

   When this field is not set (*and* "tp_richcompare" is not set), an
   attempt to take the hash of the object raises "TypeError". This is
   the same as setting it to "PyObject_HashNotImplemented()".

   This field can be set explicitly to "PyObject_HashNotImplemented()"
   to block inheritance of the hash method from a parent type. This is
   interpreted as the equivalent of "__hash__ = None" at the Python
   level, causing "isinstance(o, collections.Hashable)" to correctly
   return "False". Note that the converse is also true - setting
   "__hash__ = None" on a class at the Python level will result in the
   "tp_hash" slot being set to "PyObject_HashNotImplemented()".

   **Inheritance:**

   Group: "tp_hash", "tp_richcompare"

   This field is inherited by subtypes together with "tp_richcompare":
   a subtype inherits both of "tp_richcompare" and "tp_hash", when the
   subtype's "tp_richcompare" and "tp_hash" are both "NULL".

   **Default:**

   "PyBaseObject_Type" uses "PyObject_GenericHash()".

ternaryfunc PyTypeObject.tp_call

   * The corresponding slot ID "Py_tp_call" is part of the stabilnego
   ABI.*

   An optional pointer to a function that implements calling the
   object.  This should be "NULL" if the object is not callable.  The
   signature is the same as for "PyObject_Call()":

      PyObject *tp_call(PyObject *self, PyObject *args, PyObject *kwargs);

   **Inheritance:**

   This field is inherited by subtypes.

reprfunc PyTypeObject.tp_str

   * The corresponding slot ID "Py_tp_str" is part of the stabilnego
   ABI.*

   An optional pointer to a function that implements the built-in
   operation "str()".  (Note that "str" is a type now, and "str()"
   calls the constructor for that type.  This constructor calls
   "PyObject_Str()" to do the actual work, and "PyObject_Str()" will
   call this handler.)

   The signature is the same as for "PyObject_Str()":

      PyObject *tp_str(PyObject *self);

   The function must return a string or a Unicode object.  It should
   be a "friendly" string representation of the object, as this is the
   representation that will be used, among other things, by the
   "print()" function.

   **Inheritance:**

   This field is inherited by subtypes.

   **Default:**

   When this field is not set, "PyObject_Repr()" is called to return a
   string representation.

getattrofunc PyTypeObject.tp_getattro

   * The corresponding slot ID "Py_tp_getattro" is part of the
   stabilnego ABI.*

   An optional pointer to the get-attribute function.

   The signature is the same as for "PyObject_GetAttr()":

      PyObject *tp_getattro(PyObject *self, PyObject *attr);

   It is usually convenient to set this field to
   "PyObject_GenericGetAttr()", which implements the normal way of
   looking for object attributes.

   **Inheritance:**

   Group: "tp_getattr", "tp_getattro"

   This field is inherited by subtypes together with "tp_getattr": a
   subtype inherits both "tp_getattr" and "tp_getattro" from its base
   type when the subtype's "tp_getattr" and "tp_getattro" are both
   "NULL".

   **Default:**

   "PyBaseObject_Type" uses "PyObject_GenericGetAttr()".

setattrofunc PyTypeObject.tp_setattro

   * The corresponding slot ID "Py_tp_setattro" is part of the
   stabilnego ABI.*

   An optional pointer to the function for setting and deleting
   attributes.

   The signature is the same as for "PyObject_SetAttr()":

      int tp_setattro(PyObject *self, PyObject *attr, PyObject *value);

   In addition, setting *value* to "NULL" to delete an attribute must
   be supported.  It is usually convenient to set this field to
   "PyObject_GenericSetAttr()", which implements the normal way of
   setting object attributes.

   **Inheritance:**

   Group: "tp_setattr", "tp_setattro"

   This field is inherited by subtypes together with "tp_setattr": a
   subtype inherits both "tp_setattr" and "tp_setattro" from its base
   type when the subtype's "tp_setattr" and "tp_setattro" are both
   "NULL".

   **Default:**

   "PyBaseObject_Type" uses "PyObject_GenericSetAttr()".

PyBufferProcs *PyTypeObject.tp_as_buffer

   Pointer to an additional structure that contains fields relevant
   only to objects which implement the buffer interface.  These fields
   are documented in Buffer Object Structures.

   **Inheritance:**

   The "tp_as_buffer" field is not inherited, but the contained fields
   are inherited individually.

unsigned long PyTypeObject.tp_flags

   This field is a bit mask of various flags.  Some flags indicate
   variant semantics for certain situations; others are used to
   indicate that certain fields in the type object (or in the
   extension structures referenced via "tp_as_number",
   "tp_as_sequence", "tp_as_mapping", and "tp_as_buffer") that were
   historically not always present are valid; if such a flag bit is
   clear, the type fields it guards must not be accessed and must be
   considered to have a zero or "NULL" value instead.

   **Inheritance:**

   Inheritance of this field is complicated.  Most flag bits are
   inherited individually, i.e. if the base type has a flag bit set,
   the subtype inherits this flag bit.  The flag bits that pertain to
   extension structures are strictly inherited if the extension
   structure is inherited, i.e. the base type's value of the flag bit
   is copied into the subtype together with a pointer to the extension
   structure.  The "Py_TPFLAGS_HAVE_GC" flag bit is inherited together
   with the "tp_traverse" and "tp_clear" fields, i.e. if the
   "Py_TPFLAGS_HAVE_GC" flag bit is clear in the subtype and the
   "tp_traverse" and "tp_clear" fields in the subtype exist and have
   "NULL" values.

   **Default:**

   "PyBaseObject_Type" uses "Py_TPFLAGS_DEFAULT |
   Py_TPFLAGS_BASETYPE".

   **Bit Masks:**

   The following bit masks are currently defined; these can be ORed
   together using the "|" operator to form the value of the "tp_flags"
   field.  The macro "PyType_HasFeature()" takes a type and a flags
   value, *tp* and *f*, and checks whether "tp->tp_flags & f" is non-
   zero.

   Py_TPFLAGS_HEAPTYPE

      This bit is set when the type object itself is allocated on the
      heap, for example, types created dynamically using
      "PyType_FromSpec()".  In this case, the "ob_type" field of its
      instances is considered a reference to the type, and the type
      object is INCREF'ed when a new instance is created, and
      DECREF'ed when an instance is destroyed (this does not apply to
      instances of subtypes; only the type referenced by the
      instance's ob_type gets INCREF'ed or DECREF'ed). Heap types
      should also support garbage collection as they can form a
      reference cycle with their own module object.

      **Inheritance:**

      ???

   Py_TPFLAGS_BASETYPE
       * Część stabilnego ABI.*

      This bit is set when the type can be used as the base type of
      another type.  If this bit is clear, the type cannot be subtyped
      (similar to a "final" class in Java).

      **Inheritance:**

      ???

   Py_TPFLAGS_READY

      This bit is set when the type object has been fully initialized
      by "PyType_Ready()".

      **Inheritance:**

      ???

   Py_TPFLAGS_READYING

      This bit is set while "PyType_Ready()" is in the process of
      initializing the type object.

      **Inheritance:**

      ???

   Py_TPFLAGS_HAVE_GC
       * Część stabilnego ABI.*

      This bit is set when the object supports garbage collection.  If
      this bit is set, memory for new instances (see "tp_alloc") must
      be allocated using "PyObject_GC_New" or "PyType_GenericAlloc()"
      and deallocated (see "tp_free") using "PyObject_GC_Del()".  More
      information in section Supporting Cyclic Garbage Collection.

      **Inheritance:**

      Group: "Py_TPFLAGS_HAVE_GC", "tp_traverse", "tp_clear"

      The "Py_TPFLAGS_HAVE_GC" flag bit is inherited together with the
      "tp_traverse" and "tp_clear" fields, i.e.  if the
      "Py_TPFLAGS_HAVE_GC" flag bit is clear in the subtype and the
      "tp_traverse" and "tp_clear" fields in the subtype exist and
      have "NULL" values.

   Py_TPFLAGS_DEFAULT
       * Część stabilnego ABI.*

      This is a bitmask of all the bits that pertain to the existence
      of certain fields in the type object and its extension
      structures. Currently, it includes the following bits:
      "Py_TPFLAGS_HAVE_STACKLESS_EXTENSION".

      **Inheritance:**

      ???

   Py_TPFLAGS_METHOD_DESCRIPTOR
       * Część stabilnego ABI od wersji 3.8.*

      This bit indicates that objects behave like unbound methods.

      If this flag is set for "type(meth)", then:

      * "meth.__get__(obj, cls)(*args, **kwds)" (with "obj" not None)
        must be equivalent to "meth(obj, *args, **kwds)".

      * "meth.__get__(None, cls)(*args, **kwds)" must be equivalent to
        "meth(*args, **kwds)".

      This flag enables an optimization for typical method calls like
      "obj.meth()": it avoids creating a temporary "bound method"
      object for "obj.meth".

       Dodane w wersji 3.8.

      **Inheritance:**

      This flag is never inherited by types without the
      "Py_TPFLAGS_IMMUTABLETYPE" flag set.  For extension types, it is
      inherited whenever "tp_descr_get" is inherited.

   Py_TPFLAGS_MANAGED_DICT

      This bit indicates that instances of the class have a "__dict__"
      attribute, and that the space for the dictionary is managed by
      the VM.

      If this flag is set, "Py_TPFLAGS_HAVE_GC" should also be set.

      The type traverse function must call
      "PyObject_VisitManagedDict()" and its clear function must call
      "PyObject_ClearManagedDict()".

       Dodane w wersji 3.12.

      **Inheritance:**

      This flag is inherited unless the "tp_dictoffset" field is set
      in a superclass.

   Py_TPFLAGS_MANAGED_WEAKREF

      This bit indicates that instances of the class should be weakly
      referenceable.

       Dodane w wersji 3.12.

      **Inheritance:**

      This flag is inherited unless the "tp_weaklistoffset" field is
      set in a superclass.

   Py_TPFLAGS_ITEMS_AT_END
       * Część stabilnego ABI od wersji 3.12.*

      Only usable with variable-size types, i.e. ones with non-zero
      "tp_itemsize".

      Indicates that the variable-sized portion of an instance of this
      type is at the end of the instance's memory area, at an offset
      of "Py_TYPE(obj)->tp_basicsize" (which may be different in each
      subclass).

      When setting this flag, be sure that all superclasses either use
      this memory layout, or are not variable-sized. Python does not
      check this.

       Dodane w wersji 3.12.

      **Inheritance:**

      This flag is inherited.

   Py_TPFLAGS_LONG_SUBCLASS

   Py_TPFLAGS_LIST_SUBCLASS

   Py_TPFLAGS_TUPLE_SUBCLASS

   Py_TPFLAGS_BYTES_SUBCLASS

   Py_TPFLAGS_UNICODE_SUBCLASS

   Py_TPFLAGS_DICT_SUBCLASS

   Py_TPFLAGS_BASE_EXC_SUBCLASS

   Py_TPFLAGS_TYPE_SUBCLASS

      Functions such as "PyLong_Check()" will call
      "PyType_FastSubclass()" with one of these flags to quickly
      determine if a type is a subclass of a built-in type; such
      specific checks are faster than a generic check, like
      "PyObject_IsInstance()". Custom types that inherit from built-
      ins should have their "tp_flags" set appropriately, or the code
      that interacts with such types will behave differently depending
      on what kind of check is used.

   Py_TPFLAGS_HAVE_FINALIZE

      This bit is set when the "tp_finalize" slot is present in the
      type structure.

       Dodane w wersji 3.4.

      Niezalecane od wersji 3.8: This flag isn't necessary anymore, as
      the interpreter assumes the "tp_finalize" slot is always present
      in the type structure.

   Py_TPFLAGS_HAVE_VECTORCALL
       * Część stabilnego ABI od wersji 3.12.*

      This bit is set when the class implements the vectorcall
      protocol. See "tp_vectorcall_offset" for details.

      **Inheritance:**

      This bit is inherited if "tp_call" is also inherited.

       Dodane w wersji 3.8: as "_Py_TPFLAGS_HAVE_VECTORCALL"

      Zmienione w wersji 3.9: Renamed to the current name, without the
      leading underscore. The old provisional name is *soft
      deprecated*.

      Zmienione w wersji 3.12: This flag is now removed from a class
      when the class's "__call__()" method is reassigned.This flag can
      now be inherited by mutable classes.

   Py_TPFLAGS_IMMUTABLETYPE

      This bit is set for type objects that are immutable: type
      attributes cannot be set nor deleted.

      "PyType_Ready()" automatically applies this flag to static
      types.

      **Inheritance:**

      This flag is not inherited.

       Dodane w wersji 3.10.

   Py_TPFLAGS_DISALLOW_INSTANTIATION

      Disallow creating instances of the type: set "tp_new" to NULL
      and don't create the "__new__" key in the type dictionary.

      The flag must be set before creating the type, not after. For
      example, it must be set before "PyType_Ready()" is called on the
      type.

      The flag is set automatically on static types if "tp_base" is
      NULL or "&PyBaseObject_Type" and "tp_new" is NULL.

      **Inheritance:**

      This flag is not inherited. However, subclasses will not be
      instantiable unless they provide a non-NULL "tp_new" (which is
      only possible via the C API).

      Informacja:

        To disallow instantiating a class directly but allow
        instantiating its subclasses (e.g. for an *abstract base
        class*), do not use this flag. Instead, make "tp_new" only
        succeed for subclasses.

       Dodane w wersji 3.10.

   Py_TPFLAGS_MAPPING

      This bit indicates that instances of the class may match mapping
      patterns when used as the subject of a "match" block. It is
      automatically set when registering or subclassing
      "collections.abc.Mapping", and unset when registering
      "collections.abc.Sequence".

      Informacja:

        "Py_TPFLAGS_MAPPING" and "Py_TPFLAGS_SEQUENCE" are mutually
        exclusive; it is an error to enable both flags simultaneously.

      **Inheritance:**

      This flag is inherited by types that do not already set
      "Py_TPFLAGS_SEQUENCE".

      Zobacz także:

        **PEP 634** -- Structural Pattern Matching: Specification

       Dodane w wersji 3.10.

   Py_TPFLAGS_SEQUENCE

      This bit indicates that instances of the class may match
      sequence patterns when used as the subject of a "match" block.
      It is automatically set when registering or subclassing
      "collections.abc.Sequence", and unset when registering
      "collections.abc.Mapping".

      Informacja:

        "Py_TPFLAGS_MAPPING" and "Py_TPFLAGS_SEQUENCE" are mutually
        exclusive; it is an error to enable both flags simultaneously.

      **Inheritance:**

      This flag is inherited by types that do not already set
      "Py_TPFLAGS_MAPPING".

      Zobacz także:

        **PEP 634** -- Structural Pattern Matching: Specification

       Dodane w wersji 3.10.

   Py_TPFLAGS_VALID_VERSION_TAG

      Internal. Do not set or unset this flag. To indicate that a
      class has changed call "PyType_Modified()"

      Ostrzeżenie:

        This flag is present in header files, but is not be used. It
        will be removed in a future version of CPython

   Py_TPFLAGS_HAVE_VERSION_TAG

      This macro does nothing. Historically, this would indicate that
      the "tp_version_tag" field was available and initialized.

      Soft deprecated since version 3.13.

   Py_TPFLAGS_INLINE_VALUES

      This bit indicates that instances of this type will have an
      "inline values" array (containing the object's attributes)
      placed directly after the end of the object.

      This requires that "Py_TPFLAGS_HAVE_GC" is set.

      **Inheritance:**

      This flag is not inherited.

       Dodane w wersji 3.13.

   Py_TPFLAGS_IS_ABSTRACT

      This bit indicates that this is an abstract type and therefore
      cannot be instantiated.

      **Inheritance:**

      This flag is not inherited.

      Zobacz także: "abc"

   Py_TPFLAGS_HAVE_STACKLESS_EXTENSION

      Internal. Do not set or unset this flag. Historically, this was
      a reserved flag for use in Stackless Python.

      Ostrzeżenie:

        This flag is present in header files, but is not be used. This
        may be removed in a future version of CPython.

const char *PyTypeObject.tp_doc

   * The corresponding slot ID "Py_tp_doc" is part of the stabilnego
   ABI.*

   An optional pointer to a NUL-terminated C string giving the
   docstring for this type object.  This is exposed as the "__doc__"
   attribute on the type and instances of the type.

   **Inheritance:**

   This field is *not* inherited by subtypes.

traverseproc PyTypeObject.tp_traverse

   * The corresponding slot ID "Py_tp_traverse" is part of the
   stabilnego ABI.*

   An optional pointer to a traversal function for the garbage
   collector.  This is only used if the "Py_TPFLAGS_HAVE_GC" flag bit
   is set.  The signature is:

      int tp_traverse(PyObject *self, visitproc visit, void *arg);

   More information about Python's garbage collection scheme can be
   found in section Supporting Cyclic Garbage Collection.

   The "tp_traverse" pointer is used by the garbage collector to
   detect reference cycles. A typical implementation of a
   "tp_traverse" function simply calls "Py_VISIT()" on each of the
   instance's members that are Python objects that the instance owns.
   For example, this is function "local_traverse()" from the "_thread"
   extension module:

      static int
      local_traverse(PyObject *op, visitproc visit, void *arg)
      {
          localobject *self = (localobject *) op;
          Py_VISIT(self->args);
          Py_VISIT(self->kw);
          Py_VISIT(self->dict);
          return 0;
      }

   Note that "Py_VISIT()" is called only on those members that can
   participate in reference cycles.  Although there is also a
   "self->key" member, it can only be "NULL" or a Python string and
   therefore cannot be part of a reference cycle.

   On the other hand, even if you know a member can never be part of a
   cycle, as a debugging aid you may want to visit it anyway just so
   the "gc" module's "get_referents()" function will include it.

   Heap types ("Py_TPFLAGS_HEAPTYPE") must visit their type with:

      Py_VISIT(Py_TYPE(self));

   It is only needed since Python 3.9. To support Python 3.8 and
   older, this line must be conditional:

      #if PY_VERSION_HEX >= 0x03090000
          Py_VISIT(Py_TYPE(self));
      #endif

   If the "Py_TPFLAGS_MANAGED_DICT" bit is set in the "tp_flags"
   field, the traverse function must call
   "PyObject_VisitManagedDict()" like this:

      PyObject_VisitManagedDict((PyObject*)self, visit, arg);

   Ostrzeżenie:

     When implementing "tp_traverse", only the members that the
     instance *owns* (by having *strong references* to them) must be
     visited. For instance, if an object supports weak references via
     the "tp_weaklist" slot, the pointer supporting the linked list
     (what *tp_weaklist* points to) must **not** be visited as the
     instance does not directly own the weak references to itself (the
     weakreference list is there to support the weak reference
     machinery, but the instance has no strong reference to the
     elements inside it, as they are allowed to be removed even if the
     instance is still alive).

   Ostrzeżenie:

     The traversal function must not have any side effects.  It must
     not modify the reference counts of any Python objects nor create
     or destroy any Python objects.

   Note that "Py_VISIT()" requires the *visit* and *arg* parameters to
   "local_traverse()" to have these specific names; don't name them
   just anything.

   Instances of heap-allocated types hold a reference to their type.
   Their traversal function must therefore either visit
   "Py_TYPE(self)", or delegate this responsibility by calling
   "tp_traverse" of another heap-allocated type (such as a heap-
   allocated superclass). If they do not, the type object may not be
   garbage-collected.

   Informacja:

     The "tp_traverse" function can be called from any thread.

   Zmienione w wersji 3.9: Heap-allocated types are expected to visit
   "Py_TYPE(self)" in "tp_traverse".  In earlier versions of Python,
   due to bug 40217, doing this may lead to crashes in subclasses.

   **Inheritance:**

   Group: "Py_TPFLAGS_HAVE_GC", "tp_traverse", "tp_clear"

   This field is inherited by subtypes together with "tp_clear" and
   the "Py_TPFLAGS_HAVE_GC" flag bit: the flag bit, "tp_traverse", and
   "tp_clear" are all inherited from the base type if they are all
   zero in the subtype.

inquiry PyTypeObject.tp_clear

   * The corresponding slot ID "Py_tp_clear" is part of the stabilnego
   ABI.*

   An optional pointer to a clear function.  The signature is:

      int tp_clear(PyObject *);

   The purpose of this function is to break reference cycles that are
   causing a *cyclic isolate* so that the objects can be safely
   destroyed.  A cleared object is a partially destroyed object; the
   object is not obligated to satisfy design invariants held during
   normal use.

   "tp_clear" does not need to delete references to objects that can't
   participate in reference cycles, such as Python strings or Python
   integers.  However, it may be convenient to clear all references,
   and write the type's "tp_dealloc" function to invoke "tp_clear" to
   avoid code duplication.  (Beware that "tp_clear" might have already
   been called. Prefer calling idempotent functions like
   "Py_CLEAR()".)

   Any non-trivial cleanup should be performed in "tp_finalize"
   instead of "tp_clear".

   Informacja:

     If "tp_clear" fails to break a reference cycle then the objects
     in the *cyclic isolate* may remain indefinitely uncollectable
     ("leak").  See "gc.garbage".

   Informacja:

     Referents (direct and indirect) might have already been cleared;
     they are not guaranteed to be in a consistent state.

   Informacja:

     The "tp_clear" function can be called from any thread.

   Informacja:

     An object is not guaranteed to be automatically cleared before
     its destructor ("tp_dealloc") is called.

   This function differs from the destructor ("tp_dealloc") in the
   following ways:

   * The purpose of clearing an object is to remove references to
     other objects that might participate in a reference cycle.  The
     purpose of the destructor, on the other hand, is a superset: it
     must release *all* resources it owns, including references to
     objects that cannot participate in a reference cycle (e.g.,
     integers) as well as the object's own memory (by calling
     "tp_free").

   * When "tp_clear" is called, other objects might still hold
     references to the object being cleared.  Because of this,
     "tp_clear" must not deallocate the object's own memory
     ("tp_free").  The destructor, on the other hand, is only called
     when no (strong) references exist, and as such, must safely
     destroy the object itself by deallocating it.

   * "tp_clear" might never be automatically called.  An object's
     destructor, on the other hand, will be automatically called some
     time after the object becomes unreachable (i.e., either there are
     no references to the object or the object is a member of a
     *cyclic isolate*).

   No guarantees are made about when, if, or how often Python
   automatically clears an object, except:

   * Python will not automatically clear an object if it is reachable,
     i.e., there is a reference to it and it is not a member of a
     *cyclic isolate*.

   * Python will not automatically clear an object if it has not been
     automatically finalized (see "tp_finalize").  (If the finalizer
     resurrected the object, the object may or may not be
     automatically finalized again before it is cleared.)

   * If an object is a member of a *cyclic isolate*, Python will not
     automatically clear it if any member of the cyclic isolate has
     not yet been automatically finalized ("tp_finalize").

   * Python will not destroy an object until after any automatic calls
     to its "tp_clear" function have returned.  This ensures that the
     act of breaking a reference cycle does not invalidate the "self"
     pointer while "tp_clear" is still executing.

   * Python will not automatically call "tp_clear" multiple times
     concurrently.

   CPython currently only automatically clears objects as needed to
   break reference cycles in a *cyclic isolate*, but future versions
   might clear objects regularly before their destruction.

   Taken together, all "tp_clear" functions in the system must combine
   to break all reference cycles.  This is subtle, and if in any doubt
   supply a "tp_clear" function.  For example, the tuple type does not
   implement a "tp_clear" function, because it's possible to prove
   that no reference cycle can be composed entirely of tuples.
   Therefore the "tp_clear" functions of other types are responsible
   for breaking any cycle containing a tuple.  This isn't immediately
   obvious, and there's rarely a good reason to avoid implementing
   "tp_clear".

   Implementations of "tp_clear" should drop the instance's references
   to those of its members that may be Python objects, and set its
   pointers to those members to "NULL", as in the following example:

      static int
      local_clear(PyObject *op)
      {
          localobject *self = (localobject *) op;
          Py_CLEAR(self->key);
          Py_CLEAR(self->args);
          Py_CLEAR(self->kw);
          Py_CLEAR(self->dict);
          return 0;
      }

   The "Py_CLEAR()" macro should be used, because clearing references
   is delicate:  the reference to the contained object must not be
   released (via "Py_DECREF()") until after the pointer to the
   contained object is set to "NULL".  This is because releasing the
   reference may cause the contained object to become trash,
   triggering a chain of reclamation activity that may include
   invoking arbitrary Python code (due to finalizers, or weakref
   callbacks, associated with the contained object). If it's possible
   for such code to reference *self* again, it's important that the
   pointer to the contained object be "NULL" at that time, so that
   *self* knows the contained object can no longer be used.  The
   "Py_CLEAR()" macro performs the operations in a safe order.

   If the "Py_TPFLAGS_MANAGED_DICT" bit is set in the "tp_flags"
   field, the clear function must call "PyObject_ClearManagedDict()"
   like this:

      PyObject_ClearManagedDict((PyObject*)self);

   More information about Python's garbage collection scheme can be
   found in section Supporting Cyclic Garbage Collection.

   **Inheritance:**

   Group: "Py_TPFLAGS_HAVE_GC", "tp_traverse", "tp_clear"

   This field is inherited by subtypes together with "tp_traverse" and
   the "Py_TPFLAGS_HAVE_GC" flag bit: the flag bit, "tp_traverse", and
   "tp_clear" are all inherited from the base type if they are all
   zero in the subtype.

   Zobacz także:

     Object Life Cycle for details about how this slot relates to
     other slots.

richcmpfunc PyTypeObject.tp_richcompare

   * The corresponding slot ID "Py_tp_richcompare" is part of the
   stabilnego ABI.*

   An optional pointer to the rich comparison function, whose
   signature is:

      PyObject *tp_richcompare(PyObject *self, PyObject *other, int op);

   The first parameter is guaranteed to be an instance of the type
   that is defined by "PyTypeObject".

   The function should return the result of the comparison (usually
   "Py_True" or "Py_False").  If the comparison is undefined, it must
   return "Py_NotImplemented", if another error occurred it must
   return "NULL" and set an exception condition.

   The following constants are defined to be used as the third
   argument for "tp_richcompare" and for "PyObject_RichCompare()":

   +----------------------+--------------+
   | Stała                | Porównanie   |
   |======================|==============|
   | Py_LT                | "<"          |
   +----------------------+--------------+
   | Py_LE                | "<="         |
   +----------------------+--------------+
   | Py_EQ                | "=="         |
   +----------------------+--------------+
   | Py_NE                | "!="         |
   +----------------------+--------------+
   | Py_GT                | ">"          |
   +----------------------+--------------+
   | Py_GE                | ">="         |
   +----------------------+--------------+

   The following macro is defined to ease writing rich comparison
   functions:

   Py_RETURN_RICHCOMPARE(VAL_A, VAL_B, op)

      Return "Py_True" or "Py_False" from the function, depending on
      the result of a comparison. VAL_A and VAL_B must be orderable by
      C comparison operators (for example, they may be C ints or
      floats). The third argument specifies the requested operation,
      as for "PyObject_RichCompare()".

      The returned value is a new *strong reference*.

      On error, sets an exception and returns "NULL" from the
      function.

       Dodane w wersji 3.7.

   **Inheritance:**

   Group: "tp_hash", "tp_richcompare"

   This field is inherited by subtypes together with "tp_hash": a
   subtype inherits "tp_richcompare" and "tp_hash" when the subtype's
   "tp_richcompare" and "tp_hash" are both "NULL".

   **Default:**

   "PyBaseObject_Type" provides a "tp_richcompare" implementation,
   which may be inherited.  However, if only "tp_hash" is defined, not
   even the inherited function is used and instances of the type will
   not be able to participate in any comparisons.

Py_ssize_t PyTypeObject.tp_weaklistoffset

   While this field is still supported, "Py_TPFLAGS_MANAGED_WEAKREF"
   should be used instead, if at all possible.

   If the instances of this type are weakly referenceable, this field
   is greater than zero and contains the offset in the instance
   structure of the weak reference list head (ignoring the GC header,
   if present); this offset is used by "PyObject_ClearWeakRefs()" and
   the "PyWeakref_*" functions.  The instance structure needs to
   include a field of type PyObject* which is initialized to "NULL".

   Do not confuse this field with "tp_weaklist"; that is the list head
   for weak references to the type object itself.

   It is an error to set both the "Py_TPFLAGS_MANAGED_WEAKREF" bit and
   "tp_weaklistoffset".

   **Inheritance:**

   This field is inherited by subtypes, but see the rules listed
   below. A subtype may override this offset; this means that the
   subtype uses a different weak reference list head than the base
   type.  Since the list head is always found via "tp_weaklistoffset",
   this should not be a problem.

   **Default:**

   If the "Py_TPFLAGS_MANAGED_WEAKREF" bit is set in the "tp_flags"
   field, then "tp_weaklistoffset" will be set to a negative value, to
   indicate that it is unsafe to use this field.

getiterfunc PyTypeObject.tp_iter

   * The corresponding slot ID "Py_tp_iter" is part of the stabilnego
   ABI.*

   An optional pointer to a function that returns an *iterator* for
   the object.  Its presence normally signals that the instances of
   this type are *iterable* (although sequences may be iterable
   without this function).

   This function has the same signature as "PyObject_GetIter()":

      PyObject *tp_iter(PyObject *self);

   **Inheritance:**

   This field is inherited by subtypes.

iternextfunc PyTypeObject.tp_iternext

   * The corresponding slot ID "Py_tp_iternext" is part of the
   stabilnego ABI.*

   An optional pointer to a function that returns the next item in an
   *iterator*. The signature is:

      PyObject *tp_iternext(PyObject *self);

   When the iterator is exhausted, it must return "NULL"; a
   "StopIteration" exception may or may not be set.  When another
   error occurs, it must return "NULL" too.  Its presence signals that
   the instances of this type are iterators.

   Iterator types should also define the "tp_iter" function, and that
   function should return the iterator instance itself (not a new
   iterator instance).

   This function has the same signature as "PyIter_Next()".

   **Inheritance:**

   This field is inherited by subtypes.

struct PyMethodDef *PyTypeObject.tp_methods

   * The corresponding slot ID "Py_tp_methods" is part of the
   stabilnego ABI.*

   An optional pointer to a static "NULL"-terminated array of
   "PyMethodDef" structures, declaring regular methods of this type.

   For each entry in the array, an entry is added to the type's
   dictionary (see "tp_dict" below) containing a method descriptor.

   **Inheritance:**

   This field is not inherited by subtypes (methods are inherited
   through a different mechanism).

struct PyMemberDef *PyTypeObject.tp_members

   * The corresponding slot ID "Py_tp_members" is part of the
   stabilnego ABI.*

   An optional pointer to a static "NULL"-terminated array of
   "PyMemberDef" structures, declaring regular data members (fields or
   slots) of instances of this type.

   For each entry in the array, an entry is added to the type's
   dictionary (see "tp_dict" below) containing a member descriptor.

   **Inheritance:**

   This field is not inherited by subtypes (members are inherited
   through a different mechanism).

struct PyGetSetDef *PyTypeObject.tp_getset

   * The corresponding slot ID "Py_tp_getset" is part of the
   stabilnego ABI.*

   An optional pointer to a static "NULL"-terminated array of
   "PyGetSetDef" structures, declaring computed attributes of
   instances of this type.

   For each entry in the array, an entry is added to the type's
   dictionary (see "tp_dict" below) containing a getset descriptor.

   **Inheritance:**

   This field is not inherited by subtypes (computed attributes are
   inherited through a different mechanism).

PyTypeObject *PyTypeObject.tp_base

   * The corresponding slot ID "Py_tp_base" is part of the stabilnego
   ABI.*

   An optional pointer to a base type from which type properties are
   inherited.  At this level, only single inheritance is supported;
   multiple inheritance require dynamically creating a type object by
   calling the metatype.

   Informacja:

     Slot initialization is subject to the rules of initializing
     globals. C99 requires the initializers to be "address constants".
     Function designators like "PyType_GenericNew()", with implicit
     conversion to a pointer, are valid C99 address constants.However,
     the unary '&' operator applied to a non-static variable like
     "PyBaseObject_Type" is not required to produce an address
     constant.  Compilers may support this (gcc does), MSVC does not.
     Both compilers are strictly standard conforming in this
     particular behavior.Consequently, "tp_base" should be set in the
     extension module's init function.

   **Inheritance:**

   This field is not inherited by subtypes (obviously).

   **Default:**

   This field defaults to "&PyBaseObject_Type" (which to Python
   programmers is known as the type "object").

PyObject *PyTypeObject.tp_dict

   The type's dictionary is stored here by "PyType_Ready()".

   This field should normally be initialized to "NULL" before
   PyType_Ready is called; it may also be initialized to a dictionary
   containing initial attributes for the type.  Once "PyType_Ready()"
   has initialized the type, extra attributes for the type may be
   added to this dictionary only if they don't correspond to
   overloaded operations (like "__add__()").  Once initialization for
   the type has finished, this field should be treated as read-only.

   Some types may not store their dictionary in this slot. Use
   "PyType_GetDict()" to retrieve the dictionary for an arbitrary
   type.

   Zmienione w wersji 3.12: Internals detail: For static builtin
   types, this is always "NULL". Instead, the dict for such types is
   stored on "PyInterpreterState". Use "PyType_GetDict()" to get the
   dict for an arbitrary type.

   **Inheritance:**

   This field is not inherited by subtypes (though the attributes
   defined in here are inherited through a different mechanism).

   **Default:**

   If this field is "NULL", "PyType_Ready()" will assign a new
   dictionary to it.

   Ostrzeżenie:

     It is not safe to use "PyDict_SetItem()" on or otherwise modify
     "tp_dict" with the dictionary C-API.

descrgetfunc PyTypeObject.tp_descr_get

   * The corresponding slot ID "Py_tp_descr_get" is part of the
   stabilnego ABI.*

   An optional pointer to a "descriptor get" function.

   The function signature is:

      PyObject * tp_descr_get(PyObject *self, PyObject *obj, PyObject *type);

   **Inheritance:**

   This field is inherited by subtypes.

descrsetfunc PyTypeObject.tp_descr_set

   * The corresponding slot ID "Py_tp_descr_set" is part of the
   stabilnego ABI.*

   An optional pointer to a function for setting and deleting a
   descriptor's value.

   The function signature is:

      int tp_descr_set(PyObject *self, PyObject *obj, PyObject *value);

   The *value* argument is set to "NULL" to delete the value.

   **Inheritance:**

   This field is inherited by subtypes.

Py_ssize_t PyTypeObject.tp_dictoffset

   While this field is still supported, "Py_TPFLAGS_MANAGED_DICT"
   should be used instead, if at all possible.

   If the instances of this type have a dictionary containing instance
   variables, this field is non-zero and contains the offset in the
   instances of the type of the instance variable dictionary; this
   offset is used by "PyObject_GenericGetAttr()".

   Do not confuse this field with "tp_dict"; that is the dictionary
   for attributes of the type object itself.

   The value specifies the offset of the dictionary from the start of
   the instance structure.

   The "tp_dictoffset" should be regarded as write-only. To get the
   pointer to the dictionary call "PyObject_GenericGetDict()". Calling
   "PyObject_GenericGetDict()" may need to allocate memory for the
   dictionary, so it is may be more efficient to call
   "PyObject_GetAttr()" when accessing an attribute on the object.

   It is an error to set both the "Py_TPFLAGS_MANAGED_DICT" bit and
   "tp_dictoffset".

   **Inheritance:**

   This field is inherited by subtypes. A subtype should not override
   this offset; doing so could be unsafe, if C code tries to access
   the dictionary at the previous offset. To properly support
   inheritance, use "Py_TPFLAGS_MANAGED_DICT".

   **Default:**

   This slot has no default.  For static types, if the field is "NULL"
   then no "__dict__" gets created for instances.

   If the "Py_TPFLAGS_MANAGED_DICT" bit is set in the "tp_flags"
   field, then "tp_dictoffset" will be set to "-1", to indicate that
   it is unsafe to use this field.

initproc PyTypeObject.tp_init

   * The corresponding slot ID "Py_tp_init" is part of the stabilnego
   ABI.*

   An optional pointer to an instance initialization function.

   This function corresponds to the "__init__()" method of classes.
   Like "__init__()", it is possible to create an instance without
   calling "__init__()", and it is possible to reinitialize an
   instance by calling its "__init__()" method again.

   The function signature is:

      int tp_init(PyObject *self, PyObject *args, PyObject *kwds);

   The self argument is the instance to be initialized; the *args* and
   *kwds* arguments represent positional and keyword arguments of the
   call to "__init__()".

   The "tp_init" function, if not "NULL", is called when an instance
   is created normally by calling its type, after the type's "tp_new"
   function has returned an instance of the type.  If the "tp_new"
   function returns an instance of some other type that is not a
   subtype of the original type, no "tp_init" function is called; if
   "tp_new" returns an instance of a subtype of the original type, the
   subtype's "tp_init" is called.

   Returns "0" on success, "-1" and sets an exception on error.

   **Inheritance:**

   This field is inherited by subtypes.

   **Default:**

   For static types this field does not have a default.

allocfunc PyTypeObject.tp_alloc

   * The corresponding slot ID "Py_tp_alloc" is part of the stabilnego
   ABI.*

   An optional pointer to an instance allocation function.

   The function signature is:

      PyObject *tp_alloc(PyTypeObject *self, Py_ssize_t nitems);

   **Inheritance:**

   Static subtypes inherit this slot, which will be
   "PyType_GenericAlloc()" if inherited from "object".

   Heap subtypes do not inherit this slot.

   **Default:**

   For heap subtypes, this field is always set to
   "PyType_GenericAlloc()".

   For static subtypes, this slot is inherited (see above).

newfunc PyTypeObject.tp_new

   * The corresponding slot ID "Py_tp_new" is part of the stabilnego
   ABI.*

   An optional pointer to an instance creation function.

   The function signature is:

      PyObject *tp_new(PyTypeObject *subtype, PyObject *args, PyObject *kwds);

   The *subtype* argument is the type of the object being created; the
   *args* and *kwds* arguments represent positional and keyword
   arguments of the call to the type.  Note that *subtype* doesn't
   have to equal the type whose "tp_new" function is called; it may be
   a subtype of that type (but not an unrelated type).

   The "tp_new" function should call "subtype->tp_alloc(subtype,
   nitems)" to allocate space for the object, and then do only as much
   further initialization as is absolutely necessary.  Initialization
   that can safely be ignored or repeated should be placed in the
   "tp_init" handler.  A good rule of thumb is that for immutable
   types, all initialization should take place in "tp_new", while for
   mutable types, most initialization should be deferred to "tp_init".

   Set the "Py_TPFLAGS_DISALLOW_INSTANTIATION" flag to disallow
   creating instances of the type in Python.

   **Inheritance:**

   This field is inherited by subtypes, except it is not inherited by
   static types whose "tp_base" is "NULL" or "&PyBaseObject_Type".

   **Default:**

   For static types this field has no default. This means if the slot
   is defined as "NULL", the type cannot be called to create new
   instances; presumably there is some other way to create instances,
   like a factory function.

freefunc PyTypeObject.tp_free

   * The corresponding slot ID "Py_tp_free" is part of the stabilnego
   ABI.*

   An optional pointer to an instance deallocation function.  Its
   signature is:

      void tp_free(void *self);

   This function must free the memory allocated by "tp_alloc".

   **Inheritance:**

   Static subtypes inherit this slot, which will be "PyObject_Free()"
   if inherited from "object".  Exception: If the type supports
   garbage collection (i.e., the "Py_TPFLAGS_HAVE_GC" flag is set in
   "tp_flags") and it would inherit "PyObject_Free()", then this slot
   is not inherited but instead defaults to "PyObject_GC_Del()".

   Heap subtypes do not inherit this slot.

   **Default:**

   For heap subtypes, this slot defaults to a deallocator suitable to
   match "PyType_GenericAlloc()" and the value of the
   "Py_TPFLAGS_HAVE_GC" flag.

   For static subtypes, this slot is inherited (see above).

inquiry PyTypeObject.tp_is_gc

   * The corresponding slot ID "Py_tp_is_gc" is part of the stabilnego
   ABI.*

   An optional pointer to a function called by the garbage collector.

   The garbage collector needs to know whether a particular object is
   collectible or not.  Normally, it is sufficient to look at the
   object's type's "tp_flags" field, and check the
   "Py_TPFLAGS_HAVE_GC" flag bit.  But some types have a mixture of
   statically and dynamically allocated instances, and the statically
   allocated instances are not collectible.  Such types should define
   this function; it should return "1" for a collectible instance, and
   "0" for a non-collectible instance. The signature is:

      int tp_is_gc(PyObject *self);

   (The only example of this are types themselves.  The metatype,
   "PyType_Type", defines this function to distinguish between
   statically and dynamically allocated types.)

   **Inheritance:**

   This field is inherited by subtypes.

   **Default:**

   This slot has no default.  If this field is "NULL",
   "Py_TPFLAGS_HAVE_GC" is used as the functional equivalent.

PyObject *PyTypeObject.tp_bases

   * The corresponding slot ID "Py_tp_bases" is part of the stabilnego
   ABI.*

   Tuple of base types.

   This field should be set to "NULL" and treated as read-only. Python
   will fill it in when the type is "initialized".

   For dynamically created classes, the "Py_tp_bases" "slot" can be
   used instead of the *bases* argument of
   "PyType_FromSpecWithBases()". The argument form is preferred.

   Ostrzeżenie:

     Multiple inheritance does not work well for statically defined
     types. If you set "tp_bases" to a tuple, Python will not raise an
     error, but some slots will only be inherited from the first base.

   **Inheritance:**

   This field is not inherited.

PyObject *PyTypeObject.tp_mro

   Tuple containing the expanded set of base types, starting with the
   type itself and ending with "object", in Method Resolution Order.

   This field should be set to "NULL" and treated as read-only. Python
   will fill it in when the type is "initialized".

   **Inheritance:**

   This field is not inherited; it is calculated fresh by
   "PyType_Ready()".

PyObject *PyTypeObject.tp_cache

   Unused.  Internal use only.

   **Inheritance:**

   This field is not inherited.

void *PyTypeObject.tp_subclasses

   A collection of subclasses.  Internal use only.  May be an invalid
   pointer.

   To get a list of subclasses, call the Python method
   "__subclasses__()".

   Zmienione w wersji 3.12: For some types, this field does not hold a
   valid PyObject*. The type was changed to void* to indicate this.

   **Inheritance:**

   This field is not inherited.

PyObject *PyTypeObject.tp_weaklist

   Weak reference list head, for weak references to this type object.
   Not inherited.  Internal use only.

   Zmienione w wersji 3.12: Internals detail: For the static builtin
   types this is always "NULL", even if weakrefs are added.  Instead,
   the weakrefs for each are stored on "PyInterpreterState".  Use the
   public C-API or the internal "_PyObject_GET_WEAKREFS_LISTPTR()"
   macro to avoid the distinction.

   **Inheritance:**

   This field is not inherited.

destructor PyTypeObject.tp_del

   * The corresponding slot ID "Py_tp_del" is part of the stabilnego
   ABI.*

   This field is deprecated.  Use "tp_finalize" instead.

unsigned int PyTypeObject.tp_version_tag

   Used to index into the method cache.  Internal use only.

   **Inheritance:**

   This field is not inherited.

destructor PyTypeObject.tp_finalize

   * The corresponding slot ID "Py_tp_finalize" is part of the
   stabilnego ABI od wersji 3.5.*

   An optional pointer to an instance finalization function.  This is
   the C implementation of the "__del__()" special method.  Its
   signature is:

      void tp_finalize(PyObject *self);

   The primary purpose of finalization is to perform any non-trivial
   cleanup that must be performed before the object is destroyed,
   while the object and any other objects it directly or indirectly
   references are still in a consistent state.  The finalizer is
   allowed to execute arbitrary Python code.

   Before Python automatically finalizes an object, some of the
   object's direct or indirect referents might have themselves been
   automatically finalized. However, none of the referents will have
   been automatically cleared ("tp_clear") yet.

   Other non-finalized objects might still be using a finalized
   object, so the finalizer must leave the object in a sane state
   (e.g., invariants are still met).

   Informacja:

     After Python automatically finalizes an object, Python might
     start automatically clearing ("tp_clear") the object and its
     referents (direct and indirect).  Cleared objects are not
     guaranteed to be in a consistent state; a finalized object must
     be able to tolerate cleared referents.

   Informacja:

     An object is not guaranteed to be automatically finalized before
     its destructor ("tp_dealloc") is called.  It is recommended to
     call "PyObject_CallFinalizerFromDealloc()" at the beginning of
     "tp_dealloc" to guarantee that the object is always finalized
     before destruction.

   Informacja:

     The "tp_finalize" function can be called from any thread,
     although the *GIL* will be held.

   Informacja:

     The "tp_finalize" function can be called during shutdown, after
     some global variables have been deleted.  See the documentation
     of the "__del__()" method for details.

   When Python finalizes an object, it behaves like the following
   algorithm:

   1. Python might mark the object as *finalized*.  Currently, Python
      always marks objects whose type supports garbage collection
      (i.e., the "Py_TPFLAGS_HAVE_GC" flag is set in "tp_flags") and
      never marks other types of objects; this might change in a
      future version.

   2. If the object is not marked as *finalized* and its "tp_finalize"
      finalizer function is non-"NULL", the finalizer function is
      called.

   3. If the finalizer function was called and the finalizer made the
      object reachable (i.e., there is a reference to the object and
      it is not a member of a *cyclic isolate*), then the finalizer is
      said to have *resurrected* the object.  It is unspecified
      whether the finalizer can also resurrect the object by adding a
      new reference to the object that does not make it reachable,
      i.e., the object is (still) a member of a cyclic isolate.

   4. If the finalizer resurrected the object, the object's pending
      destruction is canceled and the object's *finalized* mark might
      be removed if present.  Currently, Python never removes the
      *finalized* mark; this might change in a future version.

   *Automatic finalization* refers to any finalization performed by
   Python except via calls to "PyObject_CallFinalizer()" or
   "PyObject_CallFinalizerFromDealloc()".  No guarantees are made
   about when, if, or how often an object is automatically finalized,
   except:

   * Python will not automatically finalize an object if it is
     reachable, i.e., there is a reference to it and it is not a
     member of a *cyclic isolate*.

   * Python will not automatically finalize an object if finalizing it
     would not mark the object as *finalized*.  Currently, this
     applies to objects whose type does not support garbage
     collection, i.e., the "Py_TPFLAGS_HAVE_GC" flag is not set.  Such
     objects can still be manually finalized by calling
     "PyObject_CallFinalizer()" or
     "PyObject_CallFinalizerFromDealloc()".

   * Python will not automatically finalize any two members of a
     *cyclic isolate* concurrently.

   * Python will not automatically finalize an object after it has
     automatically cleared ("tp_clear") the object.

   * If an object is a member of a *cyclic isolate*, Python will not
     automatically finalize it after automatically clearing (see
     "tp_clear") any other member.

   * Python will automatically finalize every member of a *cyclic
     isolate* before it automatically clears (see "tp_clear") any of
     them.

   * If Python is going to automatically clear an object ("tp_clear"),
     it will automatically finalize the object first.

   Python currently only automatically finalizes objects that are
   members of a *cyclic isolate*, but future versions might finalize
   objects regularly before their destruction.

   To manually finalize an object, do not call this function directly;
   call "PyObject_CallFinalizer()" or
   "PyObject_CallFinalizerFromDealloc()" instead.

   "tp_finalize" should leave the current exception status unchanged.
   The recommended way to write a non-trivial finalizer is to back up
   the exception at the beginning by calling
   "PyErr_GetRaisedException()" and restore the exception at the end
   by calling "PyErr_SetRaisedException()".  If an exception is
   encountered in the middle of the finalizer, log and clear it with
   "PyErr_WriteUnraisable()" or "PyErr_FormatUnraisable()".  For
   example:

      static void
      foo_finalize(PyObject *self)
      {
          // Save the current exception, if any.
          PyObject *exc = PyErr_GetRaisedException();

          // ...

          if (do_something_that_might_raise() != success_indicator) {
              PyErr_WriteUnraisable(self);
              goto done;
          }

      done:
          // Restore the saved exception.  This silently discards any exception
          // raised above, so be sure to call PyErr_WriteUnraisable first if
          // necessary.
          PyErr_SetRaisedException(exc);
      }

   **Inheritance:**

   This field is inherited by subtypes.

    Dodane w wersji 3.4.

   Zmienione w wersji 3.8: Before version 3.8 it was necessary to set
   the "Py_TPFLAGS_HAVE_FINALIZE" flags bit in order for this field to
   be used.  This is no longer required.

   Zobacz także:

     * **PEP 442**: "Safe object finalization"

     * Object Life Cycle for details about how this slot relates to
       other slots.

     * "PyObject_CallFinalizer()"

     * "PyObject_CallFinalizerFromDealloc()"

vectorcallfunc PyTypeObject.tp_vectorcall

   * The corresponding slot ID "Py_tp_vectorcall" is part of the
   stabilnego ABI od wersji 3.14.*

   A vectorcall function to use for calls of this type object (rather
   than instances). In other words, "tp_vectorcall" can be used to
   optimize "type.__call__", which typically returns a new instance of
   *type*.

   As with any vectorcall function, if "tp_vectorcall" is "NULL", the
   *tp_call* protocol ("Py_TYPE(type)->tp_call") is used instead.

   Informacja:

     The vectorcall protocol requires that the vectorcall function has
     the same behavior as the corresponding "tp_call". This means that
     "type->tp_vectorcall" must match the behavior of
     "Py_TYPE(type)->tp_call".Specifically, if *type* uses the default
     metaclass, "type->tp_vectorcall" must behave the same as
     PyType_Type->tp_call, which:

     * calls "type->tp_new",

     * if the result is a subclass of *type*, calls "type->tp_init" on
       the result of "tp_new", and

     * returns the result of "tp_new".

     Typically, "tp_vectorcall" is overridden to optimize this process
     for specific "tp_new" and "tp_init". When doing this for user-
     subclassable types, note that both can be overridden (using
     "__new__()" and "__init__()", respectively).

   **Inheritance:**

   This field is never inherited.

    Dodane w wersji 3.9: (the field exists since 3.8 but it's only
   used since 3.9)

unsigned char PyTypeObject.tp_watched

   Internal. Do not use.

    Dodane w wersji 3.12.


Static Types
============

Traditionally, types defined in C code are *static*, that is, a static
"PyTypeObject" structure is defined directly in code and initialized
using "PyType_Ready()".

This results in types that are limited relative to types defined in
Python:

* Static types are limited to one base, i.e. they cannot use multiple
  inheritance.

* Static type objects (but not necessarily their instances) are
  immutable. It is not possible to add or modify the type object's
  attributes from Python.

* Static type objects are shared across sub-interpreters, so they
  should not include any subinterpreter-specific state.

Also, since "PyTypeObject" is only part of the Limited API as an
opaque struct, any extension modules using static types must be
compiled for a specific Python minor version.


Heap Types
==========

An alternative to static types is *heap-allocated types*, or *heap
types* for short, which correspond closely to classes created by
Python's "class" statement. Heap types have the "Py_TPFLAGS_HEAPTYPE"
flag set.

This is done by filling a "PyType_Spec" structure and calling
"PyType_FromSpec()", "PyType_FromSpecWithBases()",
"PyType_FromModuleAndSpec()", or "PyType_FromMetaclass()".


Number Object Structures
========================

type PyNumberMethods

   This structure holds pointers to the functions which an object uses
   to implement the number protocol.  Each function is used by the
   function of similar name documented in the Number Protocol section.

   Here is the structure definition:

      typedef struct {
           binaryfunc nb_add;
           binaryfunc nb_subtract;
           binaryfunc nb_multiply;
           binaryfunc nb_remainder;
           binaryfunc nb_divmod;
           ternaryfunc nb_power;
           unaryfunc nb_negative;
           unaryfunc nb_positive;
           unaryfunc nb_absolute;
           inquiry nb_bool;
           unaryfunc nb_invert;
           binaryfunc nb_lshift;
           binaryfunc nb_rshift;
           binaryfunc nb_and;
           binaryfunc nb_xor;
           binaryfunc nb_or;
           unaryfunc nb_int;
           void *nb_reserved;
           unaryfunc nb_float;

           binaryfunc nb_inplace_add;
           binaryfunc nb_inplace_subtract;
           binaryfunc nb_inplace_multiply;
           binaryfunc nb_inplace_remainder;
           ternaryfunc nb_inplace_power;
           binaryfunc nb_inplace_lshift;
           binaryfunc nb_inplace_rshift;
           binaryfunc nb_inplace_and;
           binaryfunc nb_inplace_xor;
           binaryfunc nb_inplace_or;

           binaryfunc nb_floor_divide;
           binaryfunc nb_true_divide;
           binaryfunc nb_inplace_floor_divide;
           binaryfunc nb_inplace_true_divide;

           unaryfunc nb_index;

           binaryfunc nb_matrix_multiply;
           binaryfunc nb_inplace_matrix_multiply;
      } PyNumberMethods;

   Informacja:

     Binary and ternary functions must check the type of all their
     operands, and implement the necessary conversions (at least one
     of the operands is an instance of the defined type).  If the
     operation is not defined for the given operands, binary and
     ternary functions must return "Py_NotImplemented", if another
     error occurred they must return "NULL" and set an exception.

   Informacja:

     The "nb_reserved" field should always be "NULL".  It was
     previously called "nb_long", and was renamed in Python 3.0.1.

binaryfunc PyNumberMethods.nb_add

   * The corresponding slot ID "Py_nb_add" is part of the stabilnego
   ABI.*

binaryfunc PyNumberMethods.nb_subtract

   * The corresponding slot ID "Py_nb_subtract" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_multiply

   * The corresponding slot ID "Py_nb_multiply" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_remainder

   * The corresponding slot ID "Py_nb_remainder" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_divmod

   * The corresponding slot ID "Py_nb_divmod" is part of the
   stabilnego ABI.*

ternaryfunc PyNumberMethods.nb_power

   * The corresponding slot ID "Py_nb_power" is part of the stabilnego
   ABI.*

unaryfunc PyNumberMethods.nb_negative

   * The corresponding slot ID "Py_nb_negative" is part of the
   stabilnego ABI.*

unaryfunc PyNumberMethods.nb_positive

   * The corresponding slot ID "Py_nb_positive" is part of the
   stabilnego ABI.*

unaryfunc PyNumberMethods.nb_absolute

   * The corresponding slot ID "Py_nb_absolute" is part of the
   stabilnego ABI.*

inquiry PyNumberMethods.nb_bool

   * The corresponding slot ID "Py_nb_bool" is part of the stabilnego
   ABI.*

unaryfunc PyNumberMethods.nb_invert

   * The corresponding slot ID "Py_nb_invert" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_lshift

   * The corresponding slot ID "Py_nb_lshift" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_rshift

   * The corresponding slot ID "Py_nb_rshift" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_and

   * The corresponding slot ID "Py_nb_and" is part of the stabilnego
   ABI.*

binaryfunc PyNumberMethods.nb_xor

   * The corresponding slot ID "Py_nb_xor" is part of the stabilnego
   ABI.*

binaryfunc PyNumberMethods.nb_or

   * The corresponding slot ID "Py_nb_or" is part of the stabilnego
   ABI.*

unaryfunc PyNumberMethods.nb_int

   * The corresponding slot ID "Py_nb_int" is part of the stabilnego
   ABI.*

void *PyNumberMethods.nb_reserved

unaryfunc PyNumberMethods.nb_float

   * The corresponding slot ID "Py_nb_float" is part of the stabilnego
   ABI.*

binaryfunc PyNumberMethods.nb_inplace_add

   * The corresponding slot ID "Py_nb_inplace_add" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_subtract

   * The corresponding slot ID "Py_nb_inplace_subtract" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_multiply

   * The corresponding slot ID "Py_nb_inplace_multiply" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_remainder

   * The corresponding slot ID "Py_nb_inplace_remainder" is part of
   the stabilnego ABI.*

ternaryfunc PyNumberMethods.nb_inplace_power

   * The corresponding slot ID "Py_nb_inplace_power" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_lshift

   * The corresponding slot ID "Py_nb_inplace_lshift" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_rshift

   * The corresponding slot ID "Py_nb_inplace_rshift" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_and

   * The corresponding slot ID "Py_nb_inplace_and" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_xor

   * The corresponding slot ID "Py_nb_inplace_xor" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_or

   * The corresponding slot ID "Py_nb_inplace_or" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_floor_divide

   * The corresponding slot ID "Py_nb_floor_divide" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_true_divide

   * The corresponding slot ID "Py_nb_true_divide" is part of the
   stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_floor_divide

   * The corresponding slot ID "Py_nb_inplace_floor_divide" is part of
   the stabilnego ABI.*

binaryfunc PyNumberMethods.nb_inplace_true_divide

   * The corresponding slot ID "Py_nb_inplace_true_divide" is part of
   the stabilnego ABI.*

unaryfunc PyNumberMethods.nb_index

   * The corresponding slot ID "Py_nb_index" is part of the stabilnego
   ABI.*

binaryfunc PyNumberMethods.nb_matrix_multiply

   * The corresponding slot ID "Py_nb_matrix_multiply" is part of the
   stabilnego ABI od wersji 3.5.*

binaryfunc PyNumberMethods.nb_inplace_matrix_multiply

   * The corresponding slot ID "Py_nb_inplace_matrix_multiply" is part
   of the stabilnego ABI od wersji 3.5.*


Mapping Object Structures
=========================

type PyMappingMethods

   This structure holds pointers to the functions which an object uses
   to implement the mapping protocol.  It has three members:

lenfunc PyMappingMethods.mp_length

   * The corresponding slot ID "Py_mp_length" is part of the
   stabilnego ABI.*

   This function is used by "PyMapping_Size()" and "PyObject_Size()",
   and has the same signature.  This slot may be set to "NULL" if the
   object has no defined length.

binaryfunc PyMappingMethods.mp_subscript

   * The corresponding slot ID "Py_mp_subscript" is part of the
   stabilnego ABI.*

   This function is used by "PyObject_GetItem()" and
   "PySequence_GetSlice()", and has the same signature as
   "PyObject_GetItem()".  This slot must be filled for the
   "PyMapping_Check()" function to return "1", it can be "NULL"
   otherwise.

objobjargproc PyMappingMethods.mp_ass_subscript

   * The corresponding slot ID "Py_mp_ass_subscript" is part of the
   stabilnego ABI.*

   This function is used by "PyObject_SetItem()",
   "PyObject_DelItem()", "PySequence_SetSlice()" and
   "PySequence_DelSlice()".  It has the same signature as
   "PyObject_SetItem()", but *v* can also be set to "NULL" to delete
   an item.  If this slot is "NULL", the object does not support item
   assignment and deletion.


Sequence Object Structures
==========================

type PySequenceMethods

   This structure holds pointers to the functions which an object uses
   to implement the sequence protocol.

lenfunc PySequenceMethods.sq_length

   * The corresponding slot ID "Py_sq_length" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_Size()" and "PyObject_Size()",
   and has the same signature.  It is also used for handling negative
   indices via the "sq_item" and the "sq_ass_item" slots.

binaryfunc PySequenceMethods.sq_concat

   * The corresponding slot ID "Py_sq_concat" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_Concat()" and has the same
   signature.  It is also used by the "+" operator, after trying the
   numeric addition via the "nb_add" slot.

ssizeargfunc PySequenceMethods.sq_repeat

   * The corresponding slot ID "Py_sq_repeat" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_Repeat()" and has the same
   signature.  It is also used by the "*" operator, after trying
   numeric multiplication via the "nb_multiply" slot.

ssizeargfunc PySequenceMethods.sq_item

   * The corresponding slot ID "Py_sq_item" is part of the stabilnego
   ABI.*

   This function is used by "PySequence_GetItem()" and has the same
   signature.  It is also used by "PyObject_GetItem()", after trying
   the subscription via the "mp_subscript" slot. This slot must be
   filled for the "PySequence_Check()" function to return "1", it can
   be "NULL" otherwise.

   Negative indexes are handled as follows: if the "sq_length" slot is
   filled, it is called and the sequence length is used to compute a
   positive index which is passed to  "sq_item".  If "sq_length" is
   "NULL", the index is passed as is to the function.

ssizeobjargproc PySequenceMethods.sq_ass_item

   * The corresponding slot ID "Py_sq_ass_item" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_SetItem()" and has the same
   signature.  It is also used by "PyObject_SetItem()" and
   "PyObject_DelItem()", after trying the item assignment and deletion
   via the "mp_ass_subscript" slot. This slot may be left to "NULL" if
   the object does not support item assignment and deletion.

objobjproc PySequenceMethods.sq_contains

   * The corresponding slot ID "Py_sq_contains" is part of the
   stabilnego ABI.*

   This function may be used by "PySequence_Contains()" and has the
   same signature.  This slot may be left to "NULL", in this case
   "PySequence_Contains()" simply traverses the sequence until it
   finds a match.

binaryfunc PySequenceMethods.sq_inplace_concat

   * The corresponding slot ID "Py_sq_inplace_concat" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_InPlaceConcat()" and has the
   same signature.  It should modify its first operand, and return it.
   This slot may be left to "NULL", in this case
   "PySequence_InPlaceConcat()" will fall back to
   "PySequence_Concat()".  It is also used by the augmented assignment
   "+=", after trying numeric in-place addition via the
   "nb_inplace_add" slot.

ssizeargfunc PySequenceMethods.sq_inplace_repeat

   * The corresponding slot ID "Py_sq_inplace_repeat" is part of the
   stabilnego ABI.*

   This function is used by "PySequence_InPlaceRepeat()" and has the
   same signature.  It should modify its first operand, and return it.
   This slot may be left to "NULL", in this case
   "PySequence_InPlaceRepeat()" will fall back to
   "PySequence_Repeat()".  It is also used by the augmented assignment
   "*=", after trying numeric in-place multiplication via the
   "nb_inplace_multiply" slot.


Buffer Object Structures
========================

type PyBufferProcs

   This structure holds pointers to the functions required by the
   Buffer protocol. The protocol defines how an exporter object can
   expose its internal data to consumer objects.

getbufferproc PyBufferProcs.bf_getbuffer

   * The corresponding slot ID "Py_bf_getbuffer" is part of the
   stabilnego ABI od wersji 3.11.*

   The signature of this function is:

      int (PyObject *exporter, Py_buffer *view, int flags);

   Handle a request to *exporter* to fill in *view* as specified by
   *flags*. Except for point (3), an implementation of this function
   MUST take these steps:

   1. Check if the request can be met. If not, raise "BufferError",
      set "view->obj" to "NULL" and return "-1".

   2. Fill in the requested fields.

   3. Increment an internal counter for the number of exports.

   4. Set "view->obj" to *exporter* and increment "view->obj".

   5. Return "0".

   **Thread safety:**

   In the *free-threaded build*, implementations must ensure:

   * The export counter increment in step (3) is atomic.

   * The underlying buffer data remains valid and at a stable memory
     location for the lifetime of all exports.

   * For objects that support resizing or reallocation (such as
     "bytearray"), the export counter is checked atomically before
     such operations, and "BufferError" is raised if exports exist.

   * The function is safe to call concurrently from multiple threads.

   See also Thread safety for memoryview objects for the Python-level
   thread safety guarantees of "memoryview" objects.

   If *exporter* is part of a chain or tree of buffer providers, two
   main schemes can be used:

   * Re-export: Each member of the tree acts as the exporting object
     and sets "view->obj" to a new reference to itself.

   * Redirect: The buffer request is redirected to the root object of
     the tree. Here, "view->obj" will be a new reference to the root
     object.

   The individual fields of *view* are described in section Buffer
   structure, the rules how an exporter must react to specific
   requests are in section Buffer request types.

   All memory pointed to in the "Py_buffer" structure belongs to the
   exporter and must remain valid until there are no consumers left.
   "format", "shape", "strides", "suboffsets" and "internal" are read-
   only for the consumer.

   "PyBuffer_FillInfo()" provides an easy way of exposing a simple
   bytes buffer while dealing correctly with all request types.

   "PyObject_GetBuffer()" is the interface for the consumer that wraps
   this function.

releasebufferproc PyBufferProcs.bf_releasebuffer

   * The corresponding slot ID "Py_bf_releasebuffer" is part of the
   stabilnego ABI od wersji 3.11.*

   The signature of this function is:

      void (PyObject *exporter, Py_buffer *view);

   Handle a request to release the resources of the buffer. If no
   resources need to be released, "PyBufferProcs.bf_releasebuffer" may
   be "NULL". Otherwise, a standard implementation of this function
   will take these optional steps:

   1. Decrement an internal counter for the number of exports.

   2. If the counter is "0", free all memory associated with *view*.

   **Thread safety:**

   In the *free-threaded build*:

   * The export counter decrement in step (1) must be atomic.

   * Resource cleanup when the counter reaches zero must be done
     atomically, as the final release may race with concurrent
     releases from other threads and dellocation must only happen
     once.

   The exporter MUST use the "internal" field to keep track of buffer-
   specific resources. This field is guaranteed to remain constant,
   while a consumer MAY pass a copy of the original buffer as the
   *view* argument.

   This function MUST NOT decrement "view->obj", since that is done
   automatically in "PyBuffer_Release()" (this scheme is useful for
   breaking reference cycles).

   "PyBuffer_Release()" is the interface for the consumer that wraps
   this function.


Async Object Structures
=======================

 Dodane w wersji 3.5.

type PyAsyncMethods

   This structure holds pointers to the functions required to
   implement *awaitable* and *asynchronous iterator* objects.

   Here is the structure definition:

      typedef struct {
          unaryfunc am_await;
          unaryfunc am_aiter;
          unaryfunc am_anext;
          sendfunc am_send;
      } PyAsyncMethods;

unaryfunc PyAsyncMethods.am_await

   * The corresponding slot ID "Py_am_await" is part of the stabilnego
   ABI od wersji 3.5.*

   The signature of this function is:

      PyObject *am_await(PyObject *self);

   The returned object must be an *iterator*, i.e. "PyIter_Check()"
   must return "1" for it.

   This slot may be set to "NULL" if an object is not an *awaitable*.

unaryfunc PyAsyncMethods.am_aiter

   * The corresponding slot ID "Py_am_aiter" is part of the stabilnego
   ABI od wersji 3.5.*

   The signature of this function is:

      PyObject *am_aiter(PyObject *self);

   Must return an *asynchronous iterator* object. See "__anext__()"
   for details.

   This slot may be set to "NULL" if an object does not implement
   asynchronous iteration protocol.

unaryfunc PyAsyncMethods.am_anext

   * The corresponding slot ID "Py_am_anext" is part of the stabilnego
   ABI od wersji 3.5.*

   The signature of this function is:

      PyObject *am_anext(PyObject *self);

   Must return an *awaitable* object. See "__anext__()" for details.
   This slot may be set to "NULL".

sendfunc PyAsyncMethods.am_send

   * The corresponding slot ID "Py_am_send" is part of the stabilnego
   ABI od wersji 3.10.*

   The signature of this function is:

      PySendResult am_send(PyObject *self, PyObject *arg, PyObject **result);

   See "PyIter_Send()" for details. This slot may be set to "NULL".

    Dodane w wersji 3.10.


Slot Type typedefs
==================

typedef PyObject *(*allocfunc)(PyTypeObject *cls, Py_ssize_t nitems)
    * Część stabilnego ABI.*

   The purpose of this function is to separate memory allocation from
   memory initialization.  It should return a pointer to a block of
   memory of adequate length for the instance, suitably aligned, and
   initialized to zeros, but with "ob_refcnt" set to "1" and "ob_type"
   set to the type argument.  If the type's "tp_itemsize" is non-zero,
   the object's "ob_size" field should be initialized to *nitems* and
   the length of the allocated memory block should be "tp_basicsize +
   nitems*tp_itemsize", rounded up to a multiple of "sizeof(void*)";
   otherwise, *nitems* is not used and the length of the block should
   be "tp_basicsize".

   This function should not do any other instance initialization, not
   even to allocate additional memory; that should be done by
   "tp_new".

typedef void (*destructor)(PyObject*)
    * Część stabilnego ABI.*

typedef void (*freefunc)(void*)

   See "tp_free".

typedef PyObject *(*newfunc)(PyTypeObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*

   See "tp_new".

typedef int (*initproc)(PyObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*

   See "tp_init".

typedef PyObject *(*reprfunc)(PyObject*)
    * Część stabilnego ABI.*

   See "tp_repr".

typedef PyObject *(*getattrfunc)(PyObject *self, char *attr)
    * Część stabilnego ABI.*

   Return the value of the named attribute for the object.

typedef int (*setattrfunc)(PyObject *self, char *attr, PyObject *value)
    * Część stabilnego ABI.*

   Set the value of the named attribute for the object. The value
   argument is set to "NULL" to delete the attribute.

typedef PyObject *(*getattrofunc)(PyObject *self, PyObject *attr)
    * Część stabilnego ABI.*

   Return the value of the named attribute for the object.

   See "tp_getattro".

typedef int (*setattrofunc)(PyObject *self, PyObject *attr, PyObject *value)
    * Część stabilnego ABI.*

   Set the value of the named attribute for the object. The value
   argument is set to "NULL" to delete the attribute.

   See "tp_setattro".

typedef PyObject *(*descrgetfunc)(PyObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*

   See "tp_descr_get".

typedef int (*descrsetfunc)(PyObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*

   See "tp_descr_set".

typedef Py_hash_t (*hashfunc)(PyObject*)
    * Część stabilnego ABI.*

   See "tp_hash".

typedef PyObject *(*richcmpfunc)(PyObject*, PyObject*, int)
    * Część stabilnego ABI.*

   See "tp_richcompare".

typedef PyObject *(*getiterfunc)(PyObject*)
    * Część stabilnego ABI.*

   See "tp_iter".

typedef PyObject *(*iternextfunc)(PyObject*)
    * Część stabilnego ABI.*

   See "tp_iternext".

typedef Py_ssize_t (*lenfunc)(PyObject*)
    * Część stabilnego ABI.*

typedef int (*getbufferproc)(PyObject*, Py_buffer*, int)
    * Część stabilnego ABI od wersji 3.12.*

typedef void (*releasebufferproc)(PyObject*, Py_buffer*)
    * Część stabilnego ABI od wersji 3.12.*

typedef PyObject *(*unaryfunc)(PyObject*)
    * Część stabilnego ABI.*

typedef PyObject *(*binaryfunc)(PyObject*, PyObject*)
    * Część stabilnego ABI.*

typedef PySendResult (*sendfunc)(PyObject*, PyObject*, PyObject**)

   See "am_send".

typedef PyObject *(*ternaryfunc)(PyObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*

typedef PyObject *(*ssizeargfunc)(PyObject*, Py_ssize_t)
    * Część stabilnego ABI.*

typedef int (*ssizeobjargproc)(PyObject*, Py_ssize_t, PyObject*)
    * Część stabilnego ABI.*

typedef int (*objobjproc)(PyObject*, PyObject*)
    * Część stabilnego ABI.*

typedef int (*objobjargproc)(PyObject*, PyObject*, PyObject*)
    * Część stabilnego ABI.*


Przykłady
=========

The following are simple examples of Python type definitions.  They
include common usage you may encounter.  Some demonstrate tricky
corner cases.  For more examples, practical info, and a tutorial, see
Defining Extension Types: Tutorial and Defining Extension Types:
Assorted Topics.

A basic static type:

   typedef struct {
       PyObject_HEAD
       const char *data;
   } MyObject;

   static PyTypeObject MyObject_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       .tp_name = "mymod.MyObject",
       .tp_basicsize = sizeof(MyObject),
       .tp_doc = PyDoc_STR("My objects"),
       .tp_new = myobj_new,
       .tp_dealloc = (destructor)myobj_dealloc,
       .tp_repr = (reprfunc)myobj_repr,
   };

You may also find older code (especially in the CPython code base)
with a more verbose initializer:

   static PyTypeObject MyObject_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       "mymod.MyObject",               /* tp_name */
       sizeof(MyObject),               /* tp_basicsize */
       0,                              /* tp_itemsize */
       (destructor)myobj_dealloc,      /* tp_dealloc */
       0,                              /* tp_vectorcall_offset */
       0,                              /* tp_getattr */
       0,                              /* tp_setattr */
       0,                              /* tp_as_async */
       (reprfunc)myobj_repr,           /* tp_repr */
       0,                              /* tp_as_number */
       0,                              /* tp_as_sequence */
       0,                              /* tp_as_mapping */
       0,                              /* tp_hash */
       0,                              /* tp_call */
       0,                              /* tp_str */
       0,                              /* tp_getattro */
       0,                              /* tp_setattro */
       0,                              /* tp_as_buffer */
       0,                              /* tp_flags */
       PyDoc_STR("My objects"),        /* tp_doc */
       0,                              /* tp_traverse */
       0,                              /* tp_clear */
       0,                              /* tp_richcompare */
       0,                              /* tp_weaklistoffset */
       0,                              /* tp_iter */
       0,                              /* tp_iternext */
       0,                              /* tp_methods */
       0,                              /* tp_members */
       0,                              /* tp_getset */
       0,                              /* tp_base */
       0,                              /* tp_dict */
       0,                              /* tp_descr_get */
       0,                              /* tp_descr_set */
       0,                              /* tp_dictoffset */
       0,                              /* tp_init */
       0,                              /* tp_alloc */
       myobj_new,                      /* tp_new */
   };

A type that supports weakrefs, instance dicts, and hashing:

   typedef struct {
       PyObject_HEAD
       const char *data;
   } MyObject;

   static PyTypeObject MyObject_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       .tp_name = "mymod.MyObject",
       .tp_basicsize = sizeof(MyObject),
       .tp_doc = PyDoc_STR("My objects"),
       .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE |
            Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_MANAGED_DICT |
            Py_TPFLAGS_MANAGED_WEAKREF,
       .tp_new = myobj_new,
       .tp_traverse = (traverseproc)myobj_traverse,
       .tp_clear = (inquiry)myobj_clear,
       .tp_alloc = PyType_GenericNew,
       .tp_dealloc = (destructor)myobj_dealloc,
       .tp_repr = (reprfunc)myobj_repr,
       .tp_hash = (hashfunc)myobj_hash,
       .tp_richcompare = PyBaseObject_Type.tp_richcompare,
   };

A str subclass that cannot be subclassed and cannot be called to
create instances (e.g. uses a separate factory func) using
"Py_TPFLAGS_DISALLOW_INSTANTIATION" flag:

   typedef struct {
       PyUnicodeObject raw;
       char *extra;
   } MyStr;

   static PyTypeObject MyStr_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       .tp_name = "mymod.MyStr",
       .tp_basicsize = sizeof(MyStr),
       .tp_base = NULL,  // set to &PyUnicode_Type in module init
       .tp_doc = PyDoc_STR("my custom str"),
       .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_DISALLOW_INSTANTIATION,
       .tp_repr = (reprfunc)myobj_repr,
   };

The simplest static type with fixed-length instances:

   typedef struct {
       PyObject_HEAD
   } MyObject;

   static PyTypeObject MyObject_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       .tp_name = "mymod.MyObject",
   };

The simplest static type with variable-length instances:

   typedef struct {
       PyObject_VAR_HEAD
       const char *data[1];
   } MyObject;

   static PyTypeObject MyObject_Type = {
       PyVarObject_HEAD_INIT(NULL, 0)
       .tp_name = "mymod.MyObject",
       .tp_basicsize = sizeof(MyObject) - sizeof(char *),
       .tp_itemsize = sizeof(char *),
   };
