Commit f6842722 authored by Georg Brandl's avatar Georg Brandl

Split the monstrous C API manual files in smaller parts.

parent 8b506e7a
This diff is collapsed.
.. highlightlang:: c
.. _allocating-objects:
Allocating Objects on the Heap
==============================
.. cfunction:: PyObject* _PyObject_New(PyTypeObject *type)
.. cfunction:: PyVarObject* _PyObject_NewVar(PyTypeObject *type, Py_ssize_t size)
.. cfunction:: void _PyObject_Del(PyObject *op)
.. cfunction:: PyObject* PyObject_Init(PyObject *op, PyTypeObject *type)
Initialize a newly-allocated object *op* with its type and initial reference.
Returns the initialized object. If *type* indicates that the object
participates in the cyclic garbage detector, it is added to the detector's set
of observed objects. Other fields of the object are not affected.
.. cfunction:: PyVarObject* PyObject_InitVar(PyVarObject *op, PyTypeObject *type, Py_ssize_t size)
This does everything :cfunc:`PyObject_Init` does, and also initializes the
length information for a variable-size object.
.. cfunction:: TYPE* PyObject_New(TYPE, PyTypeObject *type)
Allocate a new Python object using the C structure type *TYPE* and the Python
type object *type*. Fields not defined by the Python object header are not
initialized; the object's reference count will be one. The size of the memory
allocation is determined from the :attr:`tp_basicsize` field of the type object.
.. cfunction:: TYPE* PyObject_NewVar(TYPE, PyTypeObject *type, Py_ssize_t size)
Allocate a new Python object using the C structure type *TYPE* and the Python
type object *type*. Fields not defined by the Python object header are not
initialized. The allocated memory allows for the *TYPE* structure plus *size*
fields of the size given by the :attr:`tp_itemsize` field of *type*. This is
useful for implementing objects like tuples, which are able to determine their
size at construction time. Embedding the array of fields into the same
allocation decreases the number of allocations, improving the memory management
efficiency.
.. cfunction:: void PyObject_Del(PyObject *op)
Releases memory allocated to an object using :cfunc:`PyObject_New` or
:cfunc:`PyObject_NewVar`. This is normally called from the :attr:`tp_dealloc`
handler specified in the object's type. The fields of the object should not be
accessed after this call as the memory is no longer a valid Python object.
.. cfunction:: PyObject* Py_InitModule(char *name, PyMethodDef *methods)
Create a new module object based on a name and table of functions, returning the
new module object.
.. versionchanged:: 2.3
Older versions of Python did not support *NULL* as the value for the *methods*
argument.
.. cfunction:: PyObject* Py_InitModule3(char *name, PyMethodDef *methods, char *doc)
Create a new module object based on a name and table of functions, returning the
new module object. If *doc* is non-*NULL*, it will be used to define the
docstring for the module.
.. versionchanged:: 2.3
Older versions of Python did not support *NULL* as the value for the *methods*
argument.
.. cfunction:: PyObject* Py_InitModule4(char *name, PyMethodDef *methods, char *doc, PyObject *self, int apiver)
Create a new module object based on a name and table of functions, returning the
new module object. If *doc* is non-*NULL*, it will be used to define the
docstring for the module. If *self* is non-*NULL*, it will passed to the
functions of the module as their (otherwise *NULL*) first parameter. (This was
added as an experimental feature, and there are no known uses in the current
version of Python.) For *apiver*, the only value which should be passed is
defined by the constant :const:`PYTHON_API_VERSION`.
.. note::
Most uses of this function should probably be using the :cfunc:`Py_InitModule3`
instead; only use this if you are sure you need it.
.. versionchanged:: 2.3
Older versions of Python did not support *NULL* as the value for the *methods*
argument.
.. cvar:: PyObject _Py_NoneStruct
Object which is visible in Python as ``None``. This should only be accessed
using the ``Py_None`` macro, which evaluates to a pointer to this object.
.. highlightlang:: c
.. _boolobjects:
Boolean Objects
---------------
Booleans in Python are implemented as a subclass of integers. There are only
two booleans, :const:`Py_False` and :const:`Py_True`. As such, the normal
creation and deletion functions don't apply to booleans. The following macros
are available, however.
.. cfunction:: int PyBool_Check(PyObject *o)
Return true if *o* is of type :cdata:`PyBool_Type`.
.. versionadded:: 2.3
.. cvar:: PyObject* Py_False
The Python ``False`` object. This object has no methods. It needs to be
treated just like any other object with respect to reference counts.
.. cvar:: PyObject* Py_True
The Python ``True`` object. This object has no methods. It needs to be treated
just like any other object with respect to reference counts.
.. cmacro:: Py_RETURN_FALSE
Return :const:`Py_False` from a function, properly incrementing its reference
count.
.. versionadded:: 2.4
.. cmacro:: Py_RETURN_TRUE
Return :const:`Py_True` from a function, properly incrementing its reference
count.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyBool_FromLong(long v)
Return a new reference to :const:`Py_True` or :const:`Py_False` depending on the
truth value of *v*.
.. versionadded:: 2.3
.. highlightlang:: c
.. _bufferobjects:
Buffer Objects
--------------
.. sectionauthor:: Greg Stein <gstein@lyra.org>
.. index::
object: buffer
single: buffer interface
Python objects implemented in C can export a group of functions called the
"buffer interface." These functions can be used by an object to expose its data
in a raw, byte-oriented format. Clients of the object can use the buffer
interface to access the object data directly, without needing to copy it first.
Two examples of objects that support the buffer interface are strings and
arrays. The string object exposes the character contents in the buffer
interface's byte-oriented form. An array can also expose its contents, but it
should be noted that array elements may be multi-byte values.
An example user of the buffer interface is the file object's :meth:`write`
method. Any object that can export a series of bytes through the buffer
interface can be written to a file. There are a number of format codes to
:cfunc:`PyArg_ParseTuple` that operate against an object's buffer interface,
returning data from the target object.
.. index:: single: PyBufferProcs
More information on the buffer interface is provided in the section
:ref:`buffer-structs`, under the description for :ctype:`PyBufferProcs`.
A "buffer object" is defined in the :file:`bufferobject.h` header (included by
:file:`Python.h`). These objects look very similar to string objects at the
Python programming level: they support slicing, indexing, concatenation, and
some other standard string operations. However, their data can come from one of
two sources: from a block of memory, or from another object which exports the
buffer interface.
Buffer objects are useful as a way to expose the data from another object's
buffer interface to the Python programmer. They can also be used as a zero-copy
slicing mechanism. Using their ability to reference a block of memory, it is
possible to expose any data to the Python programmer quite easily. The memory
could be a large, constant array in a C extension, it could be a raw block of
memory for manipulation before passing to an operating system library, or it
could be used to pass around structured data in its native, in-memory format.
.. ctype:: PyBufferObject
This subtype of :ctype:`PyObject` represents a buffer object.
.. cvar:: PyTypeObject PyBuffer_Type
.. index:: single: BufferType (in module types)
The instance of :ctype:`PyTypeObject` which represents the Python buffer type;
it is the same object as ``buffer`` and ``types.BufferType`` in the Python
layer. .
.. cvar:: int Py_END_OF_BUFFER
This constant may be passed as the *size* parameter to
:cfunc:`PyBuffer_FromObject` or :cfunc:`PyBuffer_FromReadWriteObject`. It
indicates that the new :ctype:`PyBufferObject` should refer to *base* object
from the specified *offset* to the end of its exported buffer. Using this
enables the caller to avoid querying the *base* object for its length.
.. cfunction:: int PyBuffer_Check(PyObject *p)
Return true if the argument has type :cdata:`PyBuffer_Type`.
.. cfunction:: PyObject* PyBuffer_FromObject(PyObject *base, Py_ssize_t offset, Py_ssize_t size)
Return a new read-only buffer object. This raises :exc:`TypeError` if *base*
doesn't support the read-only buffer protocol or doesn't provide exactly one
buffer segment, or it raises :exc:`ValueError` if *offset* is less than zero.
The buffer will hold a reference to the *base* object, and the buffer's contents
will refer to the *base* object's buffer interface, starting as position
*offset* and extending for *size* bytes. If *size* is :const:`Py_END_OF_BUFFER`,
then the new buffer's contents extend to the length of the *base* object's
exported buffer data.
.. cfunction:: PyObject* PyBuffer_FromReadWriteObject(PyObject *base, Py_ssize_t offset, Py_ssize_t size)
Return a new writable buffer object. Parameters and exceptions are similar to
those for :cfunc:`PyBuffer_FromObject`. If the *base* object does not export
the writeable buffer protocol, then :exc:`TypeError` is raised.
.. cfunction:: PyObject* PyBuffer_FromMemory(void *ptr, Py_ssize_t size)
Return a new read-only buffer object that reads from a specified location in
memory, with a specified size. The caller is responsible for ensuring that the
memory buffer, passed in as *ptr*, is not deallocated while the returned buffer
object exists. Raises :exc:`ValueError` if *size* is less than zero. Note that
:const:`Py_END_OF_BUFFER` may *not* be passed for the *size* parameter;
:exc:`ValueError` will be raised in that case.
.. cfunction:: PyObject* PyBuffer_FromReadWriteMemory(void *ptr, Py_ssize_t size)
Similar to :cfunc:`PyBuffer_FromMemory`, but the returned buffer is writable.
.. cfunction:: PyObject* PyBuffer_New(Py_ssize_t size)
Return a new writable buffer object that maintains its own memory buffer of
*size* bytes. :exc:`ValueError` is returned if *size* is not zero or positive.
Note that the memory buffer (as returned by :cfunc:`PyObject_AsWriteBuffer`) is
not specifically aligned.
.. highlightlang:: c
.. _cell-objects:
Cell Objects
------------
"Cell" objects are used to implement variables referenced by multiple scopes.
For each such variable, a cell object is created to store the value; the local
variables of each stack frame that references the value contains a reference to
the cells from outer scopes which also use that variable. When the value is
accessed, the value contained in the cell is used instead of the cell object
itself. This de-referencing of the cell object requires support from the
generated byte-code; these are not automatically de-referenced when accessed.
Cell objects are not likely to be useful elsewhere.
.. ctype:: PyCellObject
The C structure used for cell objects.
.. cvar:: PyTypeObject PyCell_Type
The type object corresponding to cell objects.
.. cfunction:: int PyCell_Check(ob)
Return true if *ob* is a cell object; *ob* must not be *NULL*.
.. cfunction:: PyObject* PyCell_New(PyObject *ob)
Create and return a new cell object containing the value *ob*. The parameter may
be *NULL*.
.. cfunction:: PyObject* PyCell_Get(PyObject *cell)
Return the contents of the cell *cell*.
.. cfunction:: PyObject* PyCell_GET(PyObject *cell)
Return the contents of the cell *cell*, but without checking that *cell* is
non-*NULL* and a cell object.
.. cfunction:: int PyCell_Set(PyObject *cell, PyObject *value)
Set the contents of the cell object *cell* to *value*. This releases the
reference to any current content of the cell. *value* may be *NULL*. *cell*
must be non-*NULL*; if it is not a cell object, ``-1`` will be returned. On
success, ``0`` will be returned.
.. cfunction:: void PyCell_SET(PyObject *cell, PyObject *value)
Sets the value of the cell object *cell* to *value*. No reference counts are
adjusted, and no checks are made for safety; *cell* must be non-*NULL* and must
be a cell object.
.. highlightlang:: c
.. _classobjects:
Class and Instance Objects
--------------------------
.. index:: object: class
Note that the class objects described here represent old-style classes, which
will go away in Python 3. When creating new types for extension modules, you
will want to work with type objects (section :ref:`typeobjects`).
.. ctype:: PyClassObject
The C structure of the objects used to describe built-in classes.
.. cvar:: PyObject* PyClass_Type
.. index:: single: ClassType (in module types)
This is the type object for class objects; it is the same object as
``types.ClassType`` in the Python layer.
.. cfunction:: int PyClass_Check(PyObject *o)
Return true if the object *o* is a class object, including instances of types
derived from the standard class object. Return false in all other cases.
.. cfunction:: int PyClass_IsSubclass(PyObject *klass, PyObject *base)
Return true if *klass* is a subclass of *base*. Return false in all other cases.
.. index:: object: instance
There are very few functions specific to instance objects.
.. cvar:: PyTypeObject PyInstance_Type
Type object for class instances.
.. cfunction:: int PyInstance_Check(PyObject *obj)
Return true if *obj* is an instance.
.. cfunction:: PyObject* PyInstance_New(PyObject *class, PyObject *arg, PyObject *kw)
Create a new instance of a specific class. The parameters *arg* and *kw* are
used as the positional and keyword parameters to the object's constructor.
.. cfunction:: PyObject* PyInstance_NewRaw(PyObject *class, PyObject *dict)
Create a new instance of a specific class without calling its constructor.
*class* is the class of new object. The *dict* parameter will be used as the
object's :attr:`__dict__`; if *NULL*, a new dictionary will be created for the
instance.
.. highlightlang:: c
.. _cobjects:
CObjects
--------
.. index:: object: CObject
Refer to :ref:`using-cobjects` for more information on using these objects.
.. ctype:: PyCObject
This subtype of :ctype:`PyObject` represents an opaque value, useful for C
extension modules who need to pass an opaque value (as a :ctype:`void\*`
pointer) through Python code to other C code. It is often used to make a C
function pointer defined in one module available to other modules, so the
regular import mechanism can be used to access C APIs defined in dynamically
loaded modules.
.. cfunction:: int PyCObject_Check(PyObject *p)
Return true if its argument is a :ctype:`PyCObject`.
.. cfunction:: PyObject* PyCObject_FromVoidPtr(void* cobj, void (*destr)(void *))
Create a :ctype:`PyCObject` from the ``void *`` *cobj*. The *destr* function
will be called when the object is reclaimed, unless it is *NULL*.
.. cfunction:: PyObject* PyCObject_FromVoidPtrAndDesc(void* cobj, void* desc, void (*destr)(void *, void *))
Create a :ctype:`PyCObject` from the :ctype:`void \*` *cobj*. The *destr*
function will be called when the object is reclaimed. The *desc* argument can
be used to pass extra callback data for the destructor function.
.. cfunction:: void* PyCObject_AsVoidPtr(PyObject* self)
Return the object :ctype:`void \*` that the :ctype:`PyCObject` *self* was
created with.
.. cfunction:: void* PyCObject_GetDesc(PyObject* self)
Return the description :ctype:`void \*` that the :ctype:`PyCObject` *self* was
created with.
.. cfunction:: int PyCObject_SetVoidPtr(PyObject* self, void* cobj)
Set the void pointer inside *self* to *cobj*. The :ctype:`PyCObject` must not
have an associated destructor. Return true on success, false on failure.
.. highlightlang:: c
.. _complexobjects:
Complex Number Objects
----------------------
.. index:: object: complex number
Python's complex number objects are implemented as two distinct types when
viewed from the C API: one is the Python object exposed to Python programs, and
the other is a C structure which represents the actual complex number value.
The API provides functions for working with both.
Complex Numbers as C Structures
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Note that the functions which accept these structures as parameters and return
them as results do so *by value* rather than dereferencing them through
pointers. This is consistent throughout the API.
.. ctype:: Py_complex
The C structure which corresponds to the value portion of a Python complex
number object. Most of the functions for dealing with complex number objects
use structures of this type as input or output values, as appropriate. It is
defined as::
typedef struct {
double real;
double imag;
} Py_complex;
.. cfunction:: Py_complex _Py_c_sum(Py_complex left, Py_complex right)
Return the sum of two complex numbers, using the C :ctype:`Py_complex`
representation.
.. cfunction:: Py_complex _Py_c_diff(Py_complex left, Py_complex right)
Return the difference between two complex numbers, using the C
:ctype:`Py_complex` representation.
.. cfunction:: Py_complex _Py_c_neg(Py_complex complex)
Return the negation of the complex number *complex*, using the C
:ctype:`Py_complex` representation.
.. cfunction:: Py_complex _Py_c_prod(Py_complex left, Py_complex right)
Return the product of two complex numbers, using the C :ctype:`Py_complex`
representation.
.. cfunction:: Py_complex _Py_c_quot(Py_complex dividend, Py_complex divisor)
Return the quotient of two complex numbers, using the C :ctype:`Py_complex`
representation.
.. cfunction:: Py_complex _Py_c_pow(Py_complex num, Py_complex exp)
Return the exponentiation of *num* by *exp*, using the C :ctype:`Py_complex`
representation.
Complex Numbers as Python Objects
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. ctype:: PyComplexObject
This subtype of :ctype:`PyObject` represents a Python complex number object.
.. cvar:: PyTypeObject PyComplex_Type
This instance of :ctype:`PyTypeObject` represents the Python complex number
type. It is the same object as ``complex`` and ``types.ComplexType``.
.. cfunction:: int PyComplex_Check(PyObject *p)
Return true if its argument is a :ctype:`PyComplexObject` or a subtype of
:ctype:`PyComplexObject`.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyComplex_CheckExact(PyObject *p)
Return true if its argument is a :ctype:`PyComplexObject`, but not a subtype of
:ctype:`PyComplexObject`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyComplex_FromCComplex(Py_complex v)
Create a new Python complex number object from a C :ctype:`Py_complex` value.
.. cfunction:: PyObject* PyComplex_FromDoubles(double real, double imag)
Return a new :ctype:`PyComplexObject` object from *real* and *imag*.
.. cfunction:: double PyComplex_RealAsDouble(PyObject *op)
Return the real part of *op* as a C :ctype:`double`.
.. cfunction:: double PyComplex_ImagAsDouble(PyObject *op)
Return the imaginary part of *op* as a C :ctype:`double`.
.. cfunction:: Py_complex PyComplex_AsCComplex(PyObject *op)
Return the :ctype:`Py_complex` value of the complex number *op*.
.. versionchanged:: 2.6
If *op* is not a Python complex number object but has a :meth:`__complex__`
method, this method will first be called to convert *op* to a Python complex
number object.
This diff is collapsed.
.. highlightlang:: c
.. _datetimeobjects:
DateTime Objects
----------------
Various date and time objects are supplied by the :mod:`datetime` module.
Before using any of these functions, the header file :file:`datetime.h` must be
included in your source (note that this is not included by :file:`Python.h`),
and the macro :cfunc:`PyDateTime_IMPORT` must be invoked. The macro puts a
pointer to a C structure into a static variable, ``PyDateTimeAPI``, that is
used by the following macros.
Type-check macros:
.. cfunction:: int PyDate_Check(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DateType` or a subtype of
:cdata:`PyDateTime_DateType`. *ob* must not be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyDate_CheckExact(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DateType`. *ob* must not be
*NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_Check(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DateTimeType` or a subtype of
:cdata:`PyDateTime_DateTimeType`. *ob* must not be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_CheckExact(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DateTimeType`. *ob* must not
be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyTime_Check(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_TimeType` or a subtype of
:cdata:`PyDateTime_TimeType`. *ob* must not be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyTime_CheckExact(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_TimeType`. *ob* must not be
*NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyDelta_Check(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DeltaType` or a subtype of
:cdata:`PyDateTime_DeltaType`. *ob* must not be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyDelta_CheckExact(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_DeltaType`. *ob* must not be
*NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyTZInfo_Check(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_TZInfoType` or a subtype of
:cdata:`PyDateTime_TZInfoType`. *ob* must not be *NULL*.
.. versionadded:: 2.4
.. cfunction:: int PyTZInfo_CheckExact(PyObject *ob)
Return true if *ob* is of type :cdata:`PyDateTime_TZInfoType`. *ob* must not be
*NULL*.
.. versionadded:: 2.4
Macros to create objects:
.. cfunction:: PyObject* PyDate_FromDate(int year, int month, int day)
Return a ``datetime.date`` object with the specified year, month and day.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyDateTime_FromDateAndTime(int year, int month, int day, int hour, int minute, int second, int usecond)
Return a ``datetime.datetime`` object with the specified year, month, day, hour,
minute, second and microsecond.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyTime_FromTime(int hour, int minute, int second, int usecond)
Return a ``datetime.time`` object with the specified hour, minute, second and
microsecond.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyDelta_FromDSU(int days, int seconds, int useconds)
Return a ``datetime.timedelta`` object representing the given number of days,
seconds and microseconds. Normalization is performed so that the resulting
number of microseconds and seconds lie in the ranges documented for
``datetime.timedelta`` objects.
.. versionadded:: 2.4
Macros to extract fields from date objects. The argument must be an instance of
:cdata:`PyDateTime_Date`, including subclasses (such as
:cdata:`PyDateTime_DateTime`). The argument must not be *NULL*, and the type is
not checked:
.. cfunction:: int PyDateTime_GET_YEAR(PyDateTime_Date *o)
Return the year, as a positive int.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_GET_MONTH(PyDateTime_Date *o)
Return the month, as an int from 1 through 12.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_GET_DAY(PyDateTime_Date *o)
Return the day, as an int from 1 through 31.
.. versionadded:: 2.4
Macros to extract fields from datetime objects. The argument must be an
instance of :cdata:`PyDateTime_DateTime`, including subclasses. The argument
must not be *NULL*, and the type is not checked:
.. cfunction:: int PyDateTime_DATE_GET_HOUR(PyDateTime_DateTime *o)
Return the hour, as an int from 0 through 23.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_DATE_GET_MINUTE(PyDateTime_DateTime *o)
Return the minute, as an int from 0 through 59.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_DATE_GET_SECOND(PyDateTime_DateTime *o)
Return the second, as an int from 0 through 59.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_DATE_GET_MICROSECOND(PyDateTime_DateTime *o)
Return the microsecond, as an int from 0 through 999999.
.. versionadded:: 2.4
Macros to extract fields from time objects. The argument must be an instance of
:cdata:`PyDateTime_Time`, including subclasses. The argument must not be *NULL*,
and the type is not checked:
.. cfunction:: int PyDateTime_TIME_GET_HOUR(PyDateTime_Time *o)
Return the hour, as an int from 0 through 23.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_TIME_GET_MINUTE(PyDateTime_Time *o)
Return the minute, as an int from 0 through 59.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_TIME_GET_SECOND(PyDateTime_Time *o)
Return the second, as an int from 0 through 59.
.. versionadded:: 2.4
.. cfunction:: int PyDateTime_TIME_GET_MICROSECOND(PyDateTime_Time *o)
Return the microsecond, as an int from 0 through 999999.
.. versionadded:: 2.4
Macros for the convenience of modules implementing the DB API:
.. cfunction:: PyObject* PyDateTime_FromTimestamp(PyObject *args)
Create and return a new ``datetime.datetime`` object given an argument tuple
suitable for passing to ``datetime.datetime.fromtimestamp()``.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyDate_FromTimestamp(PyObject *args)
Create and return a new ``datetime.date`` object given an argument tuple
suitable for passing to ``datetime.date.fromtimestamp()``.
.. versionadded:: 2.4
.. highlightlang:: c
.. _descriptor-objects:
Descriptor Objects
------------------
"Descriptors" are objects that describe some attribute of an object. They are
found in the dictionary of type objects.
.. cvar:: PyTypeObject PyProperty_Type
The type object for the built-in descriptor types.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyDescr_NewGetSet(PyTypeObject *type, struct PyGetSetDef *getset)
.. versionadded:: 2.2
.. cfunction:: PyObject* PyDescr_NewMember(PyTypeObject *type, struct PyMemberDef *meth)
.. versionadded:: 2.2
.. cfunction:: PyObject* PyDescr_NewMethod(PyTypeObject *type, struct PyMethodDef *meth)
.. versionadded:: 2.2
.. cfunction:: PyObject* PyDescr_NewWrapper(PyTypeObject *type, struct wrapperbase *wrapper, void *wrapped)
.. versionadded:: 2.2
.. cfunction:: PyObject* PyDescr_NewClassMethod(PyTypeObject *type, PyMethodDef *method)
.. versionadded:: 2.3
.. cfunction:: int PyDescr_IsData(PyObject *descr)
Return true if the descriptor objects *descr* describes a data attribute, or
false if it describes a method. *descr* must be a descriptor object; there is
no error checking.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyWrapper_New(PyObject *, PyObject *)
.. versionadded:: 2.2
.. highlightlang:: c
.. _dictobjects:
Dictionary Objects
------------------
.. index:: object: dictionary
.. ctype:: PyDictObject
This subtype of :ctype:`PyObject` represents a Python dictionary object.
.. cvar:: PyTypeObject PyDict_Type
.. index::
single: DictType (in module types)
single: DictionaryType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python dictionary type.
This is exposed to Python programs as ``dict`` and ``types.DictType``.
.. cfunction:: int PyDict_Check(PyObject *p)
Return true if *p* is a dict object or an instance of a subtype of the dict
type.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyDict_CheckExact(PyObject *p)
Return true if *p* is a dict object, but not an instance of a subtype of the
dict type.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyDict_New()
Return a new empty dictionary, or *NULL* on failure.
.. cfunction:: PyObject* PyDictProxy_New(PyObject *dict)
Return a proxy object for a mapping which enforces read-only behavior. This is
normally used to create a proxy to prevent modification of the dictionary for
non-dynamic class types.
.. versionadded:: 2.2
.. cfunction:: void PyDict_Clear(PyObject *p)
Empty an existing dictionary of all key-value pairs.
.. cfunction:: int PyDict_Contains(PyObject *p, PyObject *key)
Determine if dictionary *p* contains *key*. If an item in *p* is matches *key*,
return ``1``, otherwise return ``0``. On error, return ``-1``. This is
equivalent to the Python expression ``key in p``.
.. versionadded:: 2.4
.. cfunction:: PyObject* PyDict_Copy(PyObject *p)
Return a new dictionary that contains the same key-value pairs as *p*.
.. versionadded:: 1.6
.. cfunction:: int PyDict_SetItem(PyObject *p, PyObject *key, PyObject *val)
Insert *value* into the dictionary *p* with a key of *key*. *key* must be
:term:`hashable`; if it isn't, :exc:`TypeError` will be raised. Return ``0``
on success or ``-1`` on failure.
.. cfunction:: int PyDict_SetItemString(PyObject *p, const char *key, PyObject *val)
.. index:: single: PyString_FromString()
Insert *value* into the dictionary *p* using *key* as a key. *key* should be a
:ctype:`char\*`. The key object is created using ``PyString_FromString(key)``.
Return ``0`` on success or ``-1`` on failure.
.. cfunction:: int PyDict_DelItem(PyObject *p, PyObject *key)
Remove the entry in dictionary *p* with key *key*. *key* must be hashable; if it
isn't, :exc:`TypeError` is raised. Return ``0`` on success or ``-1`` on
failure.
.. cfunction:: int PyDict_DelItemString(PyObject *p, char *key)
Remove the entry in dictionary *p* which has a key specified by the string
*key*. Return ``0`` on success or ``-1`` on failure.
.. cfunction:: PyObject* PyDict_GetItem(PyObject *p, PyObject *key)
Return the object from dictionary *p* which has a key *key*. Return *NULL* if
the key *key* is not present, but *without* setting an exception.
.. cfunction:: PyObject* PyDict_GetItemString(PyObject *p, const char *key)
This is the same as :cfunc:`PyDict_GetItem`, but *key* is specified as a
:ctype:`char\*`, rather than a :ctype:`PyObject\*`.
.. cfunction:: PyObject* PyDict_Items(PyObject *p)
Return a :ctype:`PyListObject` containing all the items from the dictionary, as
in the dictionary method :meth:`dict.items`.
.. cfunction:: PyObject* PyDict_Keys(PyObject *p)
Return a :ctype:`PyListObject` containing all the keys from the dictionary, as
in the dictionary method :meth:`dict.keys`.
.. cfunction:: PyObject* PyDict_Values(PyObject *p)
Return a :ctype:`PyListObject` containing all the values from the dictionary
*p*, as in the dictionary method :meth:`dict.values`.
.. cfunction:: Py_ssize_t PyDict_Size(PyObject *p)
.. index:: builtin: len
Return the number of items in the dictionary. This is equivalent to ``len(p)``
on a dictionary.
.. cfunction:: int PyDict_Next(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue)
Iterate over all key-value pairs in the dictionary *p*. The :ctype:`int`
referred to by *ppos* must be initialized to ``0`` prior to the first call to
this function to start the iteration; the function returns true for each pair in
the dictionary, and false once all pairs have been reported. The parameters
*pkey* and *pvalue* should either point to :ctype:`PyObject\*` variables that
will be filled in with each key and value, respectively, or may be *NULL*. Any
references returned through them are borrowed. *ppos* should not be altered
during iteration. Its value represents offsets within the internal dictionary
structure, and since the structure is sparse, the offsets are not consecutive.
For example::
PyObject *key, *value;
Py_ssize_t pos = 0;
while (PyDict_Next(self->dict, &pos, &key, &value)) {
/* do something interesting with the values... */
...
}
The dictionary *p* should not be mutated during iteration. It is safe (since
Python 2.1) to modify the values of the keys as you iterate over the dictionary,
but only so long as the set of keys does not change. For example::
PyObject *key, *value;
Py_ssize_t pos = 0;
while (PyDict_Next(self->dict, &pos, &key, &value)) {
int i = PyInt_AS_LONG(value) + 1;
PyObject *o = PyInt_FromLong(i);
if (o == NULL)
return -1;
if (PyDict_SetItem(self->dict, key, o) < 0) {
Py_DECREF(o);
return -1;
}
Py_DECREF(o);
}
.. cfunction:: int PyDict_Merge(PyObject *a, PyObject *b, int override)
Iterate over mapping object *b* adding key-value pairs to dictionary *a*. *b*
may be a dictionary, or any object supporting :func:`PyMapping_Keys` and
:func:`PyObject_GetItem`. If *override* is true, existing pairs in *a* will be
replaced if a matching key is found in *b*, otherwise pairs will only be added
if there is not a matching key in *a*. Return ``0`` on success or ``-1`` if an
exception was raised.
.. versionadded:: 2.2
.. cfunction:: int PyDict_Update(PyObject *a, PyObject *b)
This is the same as ``PyDict_Merge(a, b, 1)`` in C, or ``a.update(b)`` in
Python. Return ``0`` on success or ``-1`` if an exception was raised.
.. versionadded:: 2.2
.. cfunction:: int PyDict_MergeFromSeq2(PyObject *a, PyObject *seq2, int override)
Update or merge into dictionary *a*, from the key-value pairs in *seq2*. *seq2*
must be an iterable object producing iterable objects of length 2, viewed as
key-value pairs. In case of duplicate keys, the last wins if *override* is
true, else the first wins. Return ``0`` on success or ``-1`` if an exception was
raised. Equivalent Python (except for the return value)::
def PyDict_MergeFromSeq2(a, seq2, override):
for key, value in seq2:
if override or key not in a:
a[key] = value
.. versionadded:: 2.2
.. highlightlang:: c
.. _fileobjects:
File Objects
------------
.. index:: object: file
Python's built-in file objects are implemented entirely on the :ctype:`FILE\*`
support from the C standard library. This is an implementation detail and may
change in future releases of Python.
.. ctype:: PyFileObject
This subtype of :ctype:`PyObject` represents a Python file object.
.. cvar:: PyTypeObject PyFile_Type
.. index:: single: FileType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python file type. This is
exposed to Python programs as ``file`` and ``types.FileType``.
.. cfunction:: int PyFile_Check(PyObject *p)
Return true if its argument is a :ctype:`PyFileObject` or a subtype of
:ctype:`PyFileObject`.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyFile_CheckExact(PyObject *p)
Return true if its argument is a :ctype:`PyFileObject`, but not a subtype of
:ctype:`PyFileObject`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyFile_FromString(char *filename, char *mode)
.. index:: single: fopen()
On success, return a new file object that is opened on the file given by
*filename*, with a file mode given by *mode*, where *mode* has the same
semantics as the standard C routine :cfunc:`fopen`. On failure, return *NULL*.
.. cfunction:: PyObject* PyFile_FromFile(FILE *fp, char *name, char *mode, int (*close)(FILE*))
Create a new :ctype:`PyFileObject` from the already-open standard C file
pointer, *fp*. The function *close* will be called when the file should be
closed. Return *NULL* on failure.
.. cfunction:: FILE* PyFile_AsFile(PyObject *p)
Return the file object associated with *p* as a :ctype:`FILE\*`.
.. cfunction:: PyObject* PyFile_GetLine(PyObject *p, int n)
.. index:: single: EOFError (built-in exception)
Equivalent to ``p.readline([n])``, this function reads one line from the
object *p*. *p* may be a file object or any object with a :meth:`readline`
method. If *n* is ``0``, exactly one line is read, regardless of the length of
the line. If *n* is greater than ``0``, no more than *n* bytes will be read
from the file; a partial line can be returned. In both cases, an empty string
is returned if the end of the file is reached immediately. If *n* is less than
``0``, however, one line is read regardless of length, but :exc:`EOFError` is
raised if the end of the file is reached immediately.
.. cfunction:: PyObject* PyFile_Name(PyObject *p)
Return the name of the file specified by *p* as a string object.
.. cfunction:: void PyFile_SetBufSize(PyFileObject *p, int n)
.. index:: single: setvbuf()
Available on systems with :cfunc:`setvbuf` only. This should only be called
immediately after file object creation.
.. cfunction:: int PyFile_SetEncoding(PyFileObject *p, const char *enc)
Set the file's encoding for Unicode output to *enc*. Return 1 on success and 0
on failure.
.. versionadded:: 2.3
.. cfunction:: int PyFile_SoftSpace(PyObject *p, int newflag)
.. index:: single: softspace (file attribute)
This function exists for internal use by the interpreter. Set the
:attr:`softspace` attribute of *p* to *newflag* and return the previous value.
*p* does not have to be a file object for this function to work properly; any
object is supported (thought its only interesting if the :attr:`softspace`
attribute can be set). This function clears any errors, and will return ``0``
as the previous value if the attribute either does not exist or if there were
errors in retrieving it. There is no way to detect errors from this function,
but doing so should not be needed.
.. cfunction:: int PyFile_WriteObject(PyObject *obj, PyObject *p, int flags)
.. index:: single: Py_PRINT_RAW
Write object *obj* to file object *p*. The only supported flag for *flags* is
:const:`Py_PRINT_RAW`; if given, the :func:`str` of the object is written
instead of the :func:`repr`. Return ``0`` on success or ``-1`` on failure; the
appropriate exception will be set.
.. cfunction:: int PyFile_WriteString(const char *s, PyObject *p)
Write string *s* to file object *p*. Return ``0`` on success or ``-1`` on
failure; the appropriate exception will be set.
.. highlightlang:: c
.. _floatobjects:
Floating Point Objects
----------------------
.. index:: object: floating point
.. ctype:: PyFloatObject
This subtype of :ctype:`PyObject` represents a Python floating point object.
.. cvar:: PyTypeObject PyFloat_Type
.. index:: single: FloatType (in modules types)
This instance of :ctype:`PyTypeObject` represents the Python floating point
type. This is the same object as ``float`` and ``types.FloatType``.
.. cfunction:: int PyFloat_Check(PyObject *p)
Return true if its argument is a :ctype:`PyFloatObject` or a subtype of
:ctype:`PyFloatObject`.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyFloat_CheckExact(PyObject *p)
Return true if its argument is a :ctype:`PyFloatObject`, but not a subtype of
:ctype:`PyFloatObject`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyFloat_FromString(PyObject *str, char **pend)
Create a :ctype:`PyFloatObject` object based on the string value in *str*, or
*NULL* on failure. The *pend* argument is ignored. It remains only for
backward compatibility.
.. cfunction:: PyObject* PyFloat_FromDouble(double v)
Create a :ctype:`PyFloatObject` object from *v*, or *NULL* on failure.
.. cfunction:: double PyFloat_AsDouble(PyObject *pyfloat)
Return a C :ctype:`double` representation of the contents of *pyfloat*. If
*pyfloat* is not a Python floating point object but has a :meth:`__float__`
method, this method will first be called to convert *pyfloat* into a float.
.. cfunction:: double PyFloat_AS_DOUBLE(PyObject *pyfloat)
Return a C :ctype:`double` representation of the contents of *pyfloat*, but
without error checking.
.. cfunction:: PyObject* PyFloat_GetInfo(void)
Return a structseq instance which contains information about the
precision, minimum and maximum values of a float. It's a thin wrapper
around the header file :file:`float.h`.
.. versionadded:: 2.6
.. cfunction:: double PyFloat_GetMax(void)
Return the maximum representable finite float *DBL_MAX* as C :ctype:`double`.
.. versionadded:: 2.6
.. cfunction:: double PyFloat_GetMin(void)
Return the minimum normalized positive float *DBL_MIN* as C :ctype:`double`.
.. versionadded:: 2.6
.. highlightlang:: c
.. _function-objects:
Function Objects
----------------
.. index:: object: function
There are a few functions specific to Python functions.
.. ctype:: PyFunctionObject
The C structure used for functions.
.. cvar:: PyTypeObject PyFunction_Type
.. index:: single: MethodType (in module types)
This is an instance of :ctype:`PyTypeObject` and represents the Python function
type. It is exposed to Python programmers as ``types.FunctionType``.
.. cfunction:: int PyFunction_Check(PyObject *o)
Return true if *o* is a function object (has type :cdata:`PyFunction_Type`).
The parameter must not be *NULL*.
.. cfunction:: PyObject* PyFunction_New(PyObject *code, PyObject *globals)
Return a new function object associated with the code object *code*. *globals*
must be a dictionary with the global variables accessible to the function.
The function's docstring, name and *__module__* are retrieved from the code
object, the argument defaults and closure are set to *NULL*.
.. cfunction:: PyObject* PyFunction_GetCode(PyObject *op)
Return the code object associated with the function object *op*.
.. cfunction:: PyObject* PyFunction_GetGlobals(PyObject *op)
Return the globals dictionary associated with the function object *op*.
.. cfunction:: PyObject* PyFunction_GetModule(PyObject *op)
Return the *__module__* attribute of the function object *op*. This is normally
a string containing the module name, but can be set to any other object by
Python code.
.. cfunction:: PyObject* PyFunction_GetDefaults(PyObject *op)
Return the argument default values of the function object *op*. This can be a
tuple of arguments or *NULL*.
.. cfunction:: int PyFunction_SetDefaults(PyObject *op, PyObject *defaults)
Set the argument default values for the function object *op*. *defaults* must be
*Py_None* or a tuple.
Raises :exc:`SystemError` and returns ``-1`` on failure.
.. cfunction:: PyObject* PyFunction_GetClosure(PyObject *op)
Return the closure associated with the function object *op*. This can be *NULL*
or a tuple of cell objects.
.. cfunction:: int PyFunction_SetClosure(PyObject *op, PyObject *closure)
Set the closure associated with the function object *op*. *closure* must be
*Py_None* or a tuple of cell objects.
Raises :exc:`SystemError` and returns ``-1`` on failure.
.. highlightlang:: c
.. _supporting-cycle-detection:
Supporting Cyclic Garbage Collection
====================================
Python's support for detecting and collecting garbage which involves circular
references requires support from object types which are "containers" for other
objects which may also be containers. Types which do not store references to
other objects, or which only store references to atomic types (such as numbers
or strings), do not need to provide any explicit support for garbage collection.
.. An example showing the use of these interfaces can be found in "Supporting the
.. Cycle Collector (XXX not found: ../ext/example-cycle-support.html)".
To create a container type, the :attr:`tp_flags` field of the type object must
include the :const:`Py_TPFLAGS_HAVE_GC` and provide an implementation of the
:attr:`tp_traverse` handler. If instances of the type are mutable, a
:attr:`tp_clear` implementation must also be provided.
.. data:: Py_TPFLAGS_HAVE_GC
:noindex:
Objects with a type with this flag set must conform with the rules documented
here. For convenience these objects will be referred to as container objects.
Constructors for container types must conform to two rules:
#. The memory for the object must be allocated using :cfunc:`PyObject_GC_New` or
:cfunc:`PyObject_GC_VarNew`.
#. Once all the fields which may contain references to other containers are
initialized, it must call :cfunc:`PyObject_GC_Track`.
.. cfunction:: TYPE* PyObject_GC_New(TYPE, PyTypeObject *type)
Analogous to :cfunc:`PyObject_New` but for container objects with the
:const:`Py_TPFLAGS_HAVE_GC` flag set.
.. cfunction:: TYPE* PyObject_GC_NewVar(TYPE, PyTypeObject *type, Py_ssize_t size)
Analogous to :cfunc:`PyObject_NewVar` but for container objects with the
:const:`Py_TPFLAGS_HAVE_GC` flag set.
.. cfunction:: PyVarObject * PyObject_GC_Resize(PyVarObject *op, Py_ssize_t)
Resize an object allocated by :cfunc:`PyObject_NewVar`. Returns the resized
object or *NULL* on failure.
.. cfunction:: void PyObject_GC_Track(PyObject *op)
Adds the object *op* to the set of container objects tracked by the collector.
The collector can run at unexpected times so objects must be valid while being
tracked. This should be called once all the fields followed by the
:attr:`tp_traverse` handler become valid, usually near the end of the
constructor.
.. cfunction:: void _PyObject_GC_TRACK(PyObject *op)
A macro version of :cfunc:`PyObject_GC_Track`. It should not be used for
extension modules.
Similarly, the deallocator for the object must conform to a similar pair of
rules:
#. Before fields which refer to other containers are invalidated,
:cfunc:`PyObject_GC_UnTrack` must be called.
#. The object's memory must be deallocated using :cfunc:`PyObject_GC_Del`.
.. cfunction:: void PyObject_GC_Del(void *op)
Releases memory allocated to an object using :cfunc:`PyObject_GC_New` or
:cfunc:`PyObject_GC_NewVar`.
.. cfunction:: void PyObject_GC_UnTrack(void *op)
Remove the object *op* from the set of container objects tracked by the
collector. Note that :cfunc:`PyObject_GC_Track` can be called again on this
object to add it back to the set of tracked objects. The deallocator
(:attr:`tp_dealloc` handler) should call this for the object before any of the
fields used by the :attr:`tp_traverse` handler become invalid.
.. cfunction:: void _PyObject_GC_UNTRACK(PyObject *op)
A macro version of :cfunc:`PyObject_GC_UnTrack`. It should not be used for
extension modules.
The :attr:`tp_traverse` handler accepts a function parameter of this type:
.. ctype:: int (*visitproc)(PyObject *object, void *arg)
Type of the visitor function passed to the :attr:`tp_traverse` handler. The
function should be called with an object to traverse as *object* and the third
parameter to the :attr:`tp_traverse` handler as *arg*. The Python core uses
several visitor functions to implement cyclic garbage detection; it's not
expected that users will need to write their own visitor functions.
The :attr:`tp_traverse` handler must have the following type:
.. ctype:: int (*traverseproc)(PyObject *self, visitproc visit, void *arg)
Traversal function for a container object. Implementations must call the
*visit* function for each object directly contained by *self*, with the
parameters to *visit* being the contained object and the *arg* value passed to
the handler. The *visit* function must not be called with a *NULL* object
argument. If *visit* returns a non-zero value that value should be returned
immediately.
To simplify writing :attr:`tp_traverse` handlers, a :cfunc:`Py_VISIT` macro is
provided. In order to use this macro, the :attr:`tp_traverse` implementation
must name its arguments exactly *visit* and *arg*:
.. cfunction:: void Py_VISIT(PyObject *o)
Call the *visit* callback, with arguments *o* and *arg*. If *visit* returns a
non-zero value, then return it. Using this macro, :attr:`tp_traverse` handlers
look like::
static int
my_traverse(Noddy *self, visitproc visit, void *arg)
{
Py_VISIT(self->foo);
Py_VISIT(self->bar);
return 0;
}
.. versionadded:: 2.4
The :attr:`tp_clear` handler must be of the :ctype:`inquiry` type, or *NULL* if
the object is immutable.
.. ctype:: int (*inquiry)(PyObject *self)
Drop references that may have created reference cycles. Immutable objects do
not have to define this method since they can never directly create reference
cycles. Note that the object must still be valid after calling this method
(don't just call :cfunc:`Py_DECREF` on a reference). The collector will call
this method if it detects that this object is involved in a reference cycle.
.. highlightlang:: c
.. _gen-objects:
Generator Objects
-----------------
Generator objects are what Python uses to implement generator iterators. They
are normally created by iterating over a function that yields values, rather
than explicitly calling :cfunc:`PyGen_New`.
.. ctype:: PyGenObject
The C structure used for generator objects.
.. cvar:: PyTypeObject PyGen_Type
The type object corresponding to generator objects
.. cfunction:: int PyGen_Check(ob)
Return true if *ob* is a generator object; *ob* must not be *NULL*.
.. cfunction:: int PyGen_CheckExact(ob)
Return true if *ob*'s type is *PyGen_Type* is a generator object; *ob* must not
be *NULL*.
.. cfunction:: PyObject* PyGen_New(PyFrameObject *frame)
Create and return a new generator object based on the *frame* object. A
reference to *frame* is stolen by this function. The parameter must not be
*NULL*.
......@@ -24,4 +24,4 @@ document the API functions in detail.
concrete.rst
init.rst
memory.rst
newtypes.rst
objimpl.rst
.. highlightlang:: c
.. _intobjects:
Plain Integer Objects
---------------------
.. index:: object: integer
.. ctype:: PyIntObject
This subtype of :ctype:`PyObject` represents a Python integer object.
.. cvar:: PyTypeObject PyInt_Type
.. index:: single: IntType (in modules types)
This instance of :ctype:`PyTypeObject` represents the Python plain integer type.
This is the same object as ``int`` and ``types.IntType``.
.. cfunction:: int PyInt_Check(PyObject *o)
Return true if *o* is of type :cdata:`PyInt_Type` or a subtype of
:cdata:`PyInt_Type`.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyInt_CheckExact(PyObject *o)
Return true if *o* is of type :cdata:`PyInt_Type`, but not a subtype of
:cdata:`PyInt_Type`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyInt_FromString(char *str, char **pend, int base)
Return a new :ctype:`PyIntObject` or :ctype:`PyLongObject` based on the string
value in *str*, which is interpreted according to the radix in *base*. If
*pend* is non-*NULL*, ``*pend`` will point to the first character in *str* which
follows the representation of the number. If *base* is ``0``, the radix will be
determined based on the leading characters of *str*: if *str* starts with
``'0x'`` or ``'0X'``, radix 16 will be used; if *str* starts with ``'0'``, radix
8 will be used; otherwise radix 10 will be used. If *base* is not ``0``, it
must be between ``2`` and ``36``, inclusive. Leading spaces are ignored. If
there are no digits, :exc:`ValueError` will be raised. If the string represents
a number too large to be contained within the machine's :ctype:`long int` type
and overflow warnings are being suppressed, a :ctype:`PyLongObject` will be
returned. If overflow warnings are not being suppressed, *NULL* will be
returned in this case.
.. cfunction:: PyObject* PyInt_FromLong(long ival)
Create a new integer object with a value of *ival*.
The current implementation keeps an array of integer objects for all integers
between ``-5`` and ``256``, when you create an int in that range you actually
just get back a reference to the existing object. So it should be possible to
change the value of ``1``. I suspect the behaviour of Python in this case is
undefined. :-)
.. cfunction:: PyObject* PyInt_FromSsize_t(Py_ssize_t ival)
Create a new integer object with a value of *ival*. If the value exceeds
``LONG_MAX``, a long integer object is returned.
.. versionadded:: 2.5
.. cfunction:: long PyInt_AsLong(PyObject *io)
Will first attempt to cast the object to a :ctype:`PyIntObject`, if it is not
already one, and then return its value. If there is an error, ``-1`` is
returned, and the caller should check ``PyErr_Occurred()`` to find out whether
there was an error, or whether the value just happened to be -1.
.. cfunction:: long PyInt_AS_LONG(PyObject *io)
Return the value of the object *io*. No error checking is performed.
.. cfunction:: unsigned long PyInt_AsUnsignedLongMask(PyObject *io)
Will first attempt to cast the object to a :ctype:`PyIntObject` or
:ctype:`PyLongObject`, if it is not already one, and then return its value as
unsigned long. This function does not check for overflow.
.. versionadded:: 2.3
.. cfunction:: unsigned PY_LONG_LONG PyInt_AsUnsignedLongLongMask(PyObject *io)
Will first attempt to cast the object to a :ctype:`PyIntObject` or
:ctype:`PyLongObject`, if it is not already one, and then return its value as
unsigned long long, without checking for overflow.
.. versionadded:: 2.3
.. cfunction:: Py_ssize_t PyInt_AsSsize_t(PyObject *io)
Will first attempt to cast the object to a :ctype:`PyIntObject` or
:ctype:`PyLongObject`, if it is not already one, and then return its value as
:ctype:`Py_ssize_t`.
.. versionadded:: 2.5
.. cfunction:: long PyInt_GetMax()
.. index:: single: LONG_MAX
Return the system's idea of the largest integer it can handle
(:const:`LONG_MAX`, as defined in the system header files).
.. highlightlang:: c
.. _iterator:
Iterator Protocol
=================
.. versionadded:: 2.2
There are only a couple of functions specifically for working with iterators.
.. cfunction:: int PyIter_Check(PyObject *o)
Return true if the object *o* supports the iterator protocol.
.. cfunction:: PyObject* PyIter_Next(PyObject *o)
Return the next value from the iteration *o*. If the object is an iterator,
this retrieves the next value from the iteration, and returns *NULL* with no
exception set if there are no remaining items. If the object is not an
iterator, :exc:`TypeError` is raised, or if there is an error in retrieving the
item, returns *NULL* and passes along the exception.
To write a loop which iterates over an iterator, the C code should look
something like this::
PyObject *iterator = PyObject_GetIter(obj);
PyObject *item;
if (iterator == NULL) {
/* propagate error */
}
while (item = PyIter_Next(iterator)) {
/* do something with item */
...
/* release reference when done */
Py_DECREF(item);
}
Py_DECREF(iterator);
if (PyErr_Occurred()) {
/* propagate error */
}
else {
/* continue doing useful work */
}
.. highlightlang:: c
.. _iterator-objects:
Iterator Objects
----------------
Python provides two general-purpose iterator objects. The first, a sequence
iterator, works with an arbitrary sequence supporting the :meth:`__getitem__`
method. The second works with a callable object and a sentinel value, calling
the callable for each item in the sequence, and ending the iteration when the
sentinel value is returned.
.. cvar:: PyTypeObject PySeqIter_Type
Type object for iterator objects returned by :cfunc:`PySeqIter_New` and the
one-argument form of the :func:`iter` built-in function for built-in sequence
types.
.. versionadded:: 2.2
.. cfunction:: int PySeqIter_Check(op)
Return true if the type of *op* is :cdata:`PySeqIter_Type`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PySeqIter_New(PyObject *seq)
Return an iterator that works with a general sequence object, *seq*. The
iteration ends when the sequence raises :exc:`IndexError` for the subscripting
operation.
.. versionadded:: 2.2
.. cvar:: PyTypeObject PyCallIter_Type
Type object for iterator objects returned by :cfunc:`PyCallIter_New` and the
two-argument form of the :func:`iter` built-in function.
.. versionadded:: 2.2
.. cfunction:: int PyCallIter_Check(op)
Return true if the type of *op* is :cdata:`PyCallIter_Type`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyCallIter_New(PyObject *callable, PyObject *sentinel)
Return a new iterator. The first parameter, *callable*, can be any Python
callable object that can be called with no parameters; each call to it should
return the next item in the iteration. When *callable* returns a value equal to
*sentinel*, the iteration will be terminated.
.. versionadded:: 2.2
.. highlightlang:: c
.. _listobjects:
List Objects
------------
.. index:: object: list
.. ctype:: PyListObject
This subtype of :ctype:`PyObject` represents a Python list object.
.. cvar:: PyTypeObject PyList_Type
.. index:: single: ListType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python list type. This is
the same object as ``list`` and ``types.ListType`` in the Python layer.
.. cfunction:: int PyList_Check(PyObject *p)
Return true if *p* is a list object or an instance of a subtype of the list
type.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyList_CheckExact(PyObject *p)
Return true if *p* is a list object, but not an instance of a subtype of the
list type.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyList_New(Py_ssize_t len)
Return a new list of length *len* on success, or *NULL* on failure.
.. note::
If *length* is greater than zero, the returned list object's items are set to
``NULL``. Thus you cannot use abstract API functions such as
:cfunc:`PySequence_SetItem` or expose the object to Python code before setting
all items to a real object with :cfunc:`PyList_SetItem`.
.. cfunction:: Py_ssize_t PyList_Size(PyObject *list)
.. index:: builtin: len
Return the length of the list object in *list*; this is equivalent to
``len(list)`` on a list object.
.. cfunction:: Py_ssize_t PyList_GET_SIZE(PyObject *list)
Macro form of :cfunc:`PyList_Size` without error checking.
.. cfunction:: PyObject* PyList_GetItem(PyObject *list, Py_ssize_t index)
Return the object at position *pos* in the list pointed to by *p*. The position
must be positive, indexing from the end of the list is not supported. If *pos*
is out of bounds, return *NULL* and set an :exc:`IndexError` exception.
.. cfunction:: PyObject* PyList_GET_ITEM(PyObject *list, Py_ssize_t i)
Macro form of :cfunc:`PyList_GetItem` without error checking.
.. cfunction:: int PyList_SetItem(PyObject *list, Py_ssize_t index, PyObject *item)
Set the item at index *index* in list to *item*. Return ``0`` on success or
``-1`` on failure.
.. note::
This function "steals" a reference to *item* and discards a reference to an item
already in the list at the affected position.
.. cfunction:: void PyList_SET_ITEM(PyObject *list, Py_ssize_t i, PyObject *o)
Macro form of :cfunc:`PyList_SetItem` without error checking. This is normally
only used to fill in new lists where there is no previous content.
.. note::
This function "steals" a reference to *item*, and, unlike
:cfunc:`PyList_SetItem`, does *not* discard a reference to any item that it
being replaced; any reference in *list* at position *i* will be leaked.
.. cfunction:: int PyList_Insert(PyObject *list, Py_ssize_t index, PyObject *item)
Insert the item *item* into list *list* in front of index *index*. Return ``0``
if successful; return ``-1`` and set an exception if unsuccessful. Analogous to
``list.insert(index, item)``.
.. cfunction:: int PyList_Append(PyObject *list, PyObject *item)
Append the object *item* at the end of list *list*. Return ``0`` if successful;
return ``-1`` and set an exception if unsuccessful. Analogous to
``list.append(item)``.
.. cfunction:: PyObject* PyList_GetSlice(PyObject *list, Py_ssize_t low, Py_ssize_t high)
Return a list of the objects in *list* containing the objects *between* *low*
and *high*. Return *NULL* and set an exception if unsuccessful. Analogous to
``list[low:high]``.
.. cfunction:: int PyList_SetSlice(PyObject *list, Py_ssize_t low, Py_ssize_t high, PyObject *itemlist)
Set the slice of *list* between *low* and *high* to the contents of *itemlist*.
Analogous to ``list[low:high] = itemlist``. The *itemlist* may be *NULL*,
indicating the assignment of an empty list (slice deletion). Return ``0`` on
success, ``-1`` on failure.
.. cfunction:: int PyList_Sort(PyObject *list)
Sort the items of *list* in place. Return ``0`` on success, ``-1`` on failure.
This is equivalent to ``list.sort()``.
.. cfunction:: int PyList_Reverse(PyObject *list)
Reverse the items of *list* in place. Return ``0`` on success, ``-1`` on
failure. This is the equivalent of ``list.reverse()``.
.. cfunction:: PyObject* PyList_AsTuple(PyObject *list)
.. index:: builtin: tuple
Return a new tuple object containing the contents of *list*; equivalent to
``tuple(list)``.
.. highlightlang:: c
.. _longobjects:
Long Integer Objects
--------------------
.. index:: object: long integer
.. ctype:: PyLongObject
This subtype of :ctype:`PyObject` represents a Python long integer object.
.. cvar:: PyTypeObject PyLong_Type
.. index:: single: LongType (in modules types)
This instance of :ctype:`PyTypeObject` represents the Python long integer type.
This is the same object as ``long`` and ``types.LongType``.
.. cfunction:: int PyLong_Check(PyObject *p)
Return true if its argument is a :ctype:`PyLongObject` or a subtype of
:ctype:`PyLongObject`.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyLong_CheckExact(PyObject *p)
Return true if its argument is a :ctype:`PyLongObject`, but not a subtype of
:ctype:`PyLongObject`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyLong_FromLong(long v)
Return a new :ctype:`PyLongObject` object from *v*, or *NULL* on failure.
.. cfunction:: PyObject* PyLong_FromUnsignedLong(unsigned long v)
Return a new :ctype:`PyLongObject` object from a C :ctype:`unsigned long`, or
*NULL* on failure.
.. cfunction:: PyObject* PyLong_FromLongLong(PY_LONG_LONG v)
Return a new :ctype:`PyLongObject` object from a C :ctype:`long long`, or *NULL*
on failure.
.. cfunction:: PyObject* PyLong_FromUnsignedLongLong(unsigned PY_LONG_LONG v)
Return a new :ctype:`PyLongObject` object from a C :ctype:`unsigned long long`,
or *NULL* on failure.
.. cfunction:: PyObject* PyLong_FromDouble(double v)
Return a new :ctype:`PyLongObject` object from the integer part of *v*, or
*NULL* on failure.
.. cfunction:: PyObject* PyLong_FromString(char *str, char **pend, int base)
Return a new :ctype:`PyLongObject` based on the string value in *str*, which is
interpreted according to the radix in *base*. If *pend* is non-*NULL*,
``*pend`` will point to the first character in *str* which follows the
representation of the number. If *base* is ``0``, the radix will be determined
based on the leading characters of *str*: if *str* starts with ``'0x'`` or
``'0X'``, radix 16 will be used; if *str* starts with ``'0'``, radix 8 will be
used; otherwise radix 10 will be used. If *base* is not ``0``, it must be
between ``2`` and ``36``, inclusive. Leading spaces are ignored. If there are
no digits, :exc:`ValueError` will be raised.
.. cfunction:: PyObject* PyLong_FromUnicode(Py_UNICODE *u, Py_ssize_t length, int base)
Convert a sequence of Unicode digits to a Python long integer value. The first
parameter, *u*, points to the first character of the Unicode string, *length*
gives the number of characters, and *base* is the radix for the conversion. The
radix must be in the range [2, 36]; if it is out of range, :exc:`ValueError`
will be raised.
.. versionadded:: 1.6
.. cfunction:: PyObject* PyLong_FromVoidPtr(void *p)
Create a Python integer or long integer from the pointer *p*. The pointer value
can be retrieved from the resulting value using :cfunc:`PyLong_AsVoidPtr`.
.. versionadded:: 1.5.2
.. versionchanged:: 2.5
If the integer is larger than LONG_MAX, a positive long integer is returned.
.. cfunction:: long PyLong_AsLong(PyObject *pylong)
.. index::
single: LONG_MAX
single: OverflowError (built-in exception)
Return a C :ctype:`long` representation of the contents of *pylong*. If
*pylong* is greater than :const:`LONG_MAX`, an :exc:`OverflowError` is raised.
.. cfunction:: unsigned long PyLong_AsUnsignedLong(PyObject *pylong)
.. index::
single: ULONG_MAX
single: OverflowError (built-in exception)
Return a C :ctype:`unsigned long` representation of the contents of *pylong*.
If *pylong* is greater than :const:`ULONG_MAX`, an :exc:`OverflowError` is
raised.
.. cfunction:: PY_LONG_LONG PyLong_AsLongLong(PyObject *pylong)
Return a C :ctype:`long long` from a Python long integer. If *pylong* cannot be
represented as a :ctype:`long long`, an :exc:`OverflowError` will be raised.
.. versionadded:: 2.2
.. cfunction:: unsigned PY_LONG_LONG PyLong_AsUnsignedLongLong(PyObject *pylong)
Return a C :ctype:`unsigned long long` from a Python long integer. If *pylong*
cannot be represented as an :ctype:`unsigned long long`, an :exc:`OverflowError`
will be raised if the value is positive, or a :exc:`TypeError` will be raised if
the value is negative.
.. versionadded:: 2.2
.. cfunction:: unsigned long PyLong_AsUnsignedLongMask(PyObject *io)
Return a C :ctype:`unsigned long` from a Python long integer, without checking
for overflow.
.. versionadded:: 2.3
.. cfunction:: unsigned PY_LONG_LONG PyLong_AsUnsignedLongLongMask(PyObject *io)
Return a C :ctype:`unsigned long long` from a Python long integer, without
checking for overflow.
.. versionadded:: 2.3
.. cfunction:: double PyLong_AsDouble(PyObject *pylong)
Return a C :ctype:`double` representation of the contents of *pylong*. If
*pylong* cannot be approximately represented as a :ctype:`double`, an
:exc:`OverflowError` exception is raised and ``-1.0`` will be returned.
.. cfunction:: void* PyLong_AsVoidPtr(PyObject *pylong)
Convert a Python integer or long integer *pylong* to a C :ctype:`void` pointer.
If *pylong* cannot be converted, an :exc:`OverflowError` will be raised. This
is only assured to produce a usable :ctype:`void` pointer for values created
with :cfunc:`PyLong_FromVoidPtr`.
.. versionadded:: 1.5.2
.. versionchanged:: 2.5
For values outside 0..LONG_MAX, both signed and unsigned integers are acccepted.
.. highlightlang:: c
.. _mapping:
Mapping Protocol
================
.. cfunction:: int PyMapping_Check(PyObject *o)
Return ``1`` if the object provides mapping protocol, and ``0`` otherwise. This
function always succeeds.
.. cfunction:: Py_ssize_t PyMapping_Length(PyObject *o)
.. index:: builtin: len
Returns the number of keys in object *o* on success, and ``-1`` on failure. For
objects that do not provide mapping protocol, this is equivalent to the Python
expression ``len(o)``.
.. cfunction:: int PyMapping_DelItemString(PyObject *o, char *key)
Remove the mapping for object *key* from the object *o*. Return ``-1`` on
failure. This is equivalent to the Python statement ``del o[key]``.
.. cfunction:: int PyMapping_DelItem(PyObject *o, PyObject *key)
Remove the mapping for object *key* from the object *o*. Return ``-1`` on
failure. This is equivalent to the Python statement ``del o[key]``.
.. cfunction:: int PyMapping_HasKeyString(PyObject *o, char *key)
On success, return ``1`` if the mapping object has the key *key* and ``0``
otherwise. This is equivalent to the Python expression ``o.has_key(key)``.
This function always succeeds.
.. cfunction:: int PyMapping_HasKey(PyObject *o, PyObject *key)
Return ``1`` if the mapping object has the key *key* and ``0`` otherwise. This
is equivalent to the Python expression ``o.has_key(key)``. This function always
succeeds.
.. cfunction:: PyObject* PyMapping_Keys(PyObject *o)
On success, return a list of the keys in object *o*. On failure, return *NULL*.
This is equivalent to the Python expression ``o.keys()``.
.. cfunction:: PyObject* PyMapping_Values(PyObject *o)
On success, return a list of the values in object *o*. On failure, return
*NULL*. This is equivalent to the Python expression ``o.values()``.
.. cfunction:: PyObject* PyMapping_Items(PyObject *o)
On success, return a list of the items in object *o*, where each item is a tuple
containing a key-value pair. On failure, return *NULL*. This is equivalent to
the Python expression ``o.items()``.
.. cfunction:: PyObject* PyMapping_GetItemString(PyObject *o, char *key)
Return element of *o* corresponding to the object *key* or *NULL* on failure.
This is the equivalent of the Python expression ``o[key]``.
.. cfunction:: int PyMapping_SetItemString(PyObject *o, char *key, PyObject *v)
Map the object *key* to the value *v* in object *o*. Returns ``-1`` on failure.
This is the equivalent of the Python statement ``o[key] = v``.
.. highlightlang:: c
.. _method-objects:
Method Objects
--------------
.. index:: object: method
There are some useful functions that are useful for working with method objects.
.. cvar:: PyTypeObject PyMethod_Type
.. index:: single: MethodType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python method type. This
is exposed to Python programs as ``types.MethodType``.
.. cfunction:: int PyMethod_Check(PyObject *o)
Return true if *o* is a method object (has type :cdata:`PyMethod_Type`). The
parameter must not be *NULL*.
.. cfunction:: PyObject* PyMethod_New(PyObject *func, PyObject *self, PyObject *class)
Return a new method object, with *func* being any callable object; this is the
function that will be called when the method is called. If this method should
be bound to an instance, *self* should be the instance and *class* should be the
class of *self*, otherwise *self* should be *NULL* and *class* should be the
class which provides the unbound method..
.. cfunction:: PyObject* PyMethod_Class(PyObject *meth)
Return the class object from which the method *meth* was created; if this was
created from an instance, it will be the class of the instance.
.. cfunction:: PyObject* PyMethod_GET_CLASS(PyObject *meth)
Macro version of :cfunc:`PyMethod_Class` which avoids error checking.
.. cfunction:: PyObject* PyMethod_Function(PyObject *meth)
Return the function object associated with the method *meth*.
.. cfunction:: PyObject* PyMethod_GET_FUNCTION(PyObject *meth)
Macro version of :cfunc:`PyMethod_Function` which avoids error checking.
.. cfunction:: PyObject* PyMethod_Self(PyObject *meth)
Return the instance associated with the method *meth* if it is bound, otherwise
return *NULL*.
.. cfunction:: PyObject* PyMethod_GET_SELF(PyObject *meth)
Macro version of :cfunc:`PyMethod_Self` which avoids error checking.
.. highlightlang:: c
.. _moduleobjects:
Module Objects
--------------
.. index:: object: module
There are only a few functions special to module objects.
.. cvar:: PyTypeObject PyModule_Type
.. index:: single: ModuleType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python module type. This
is exposed to Python programs as ``types.ModuleType``.
.. cfunction:: int PyModule_Check(PyObject *p)
Return true if *p* is a module object, or a subtype of a module object.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyModule_CheckExact(PyObject *p)
Return true if *p* is a module object, but not a subtype of
:cdata:`PyModule_Type`.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyModule_New(const char *name)
.. index::
single: __name__ (module attribute)
single: __doc__ (module attribute)
single: __file__ (module attribute)
Return a new module object with the :attr:`__name__` attribute set to *name*.
Only the module's :attr:`__doc__` and :attr:`__name__` attributes are filled in;
the caller is responsible for providing a :attr:`__file__` attribute.
.. cfunction:: PyObject* PyModule_GetDict(PyObject *module)
.. index:: single: __dict__ (module attribute)
Return the dictionary object that implements *module*'s namespace; this object
is the same as the :attr:`__dict__` attribute of the module object. This
function never fails. It is recommended extensions use other
:cfunc:`PyModule_\*` and :cfunc:`PyObject_\*` functions rather than directly
manipulate a module's :attr:`__dict__`.
.. cfunction:: char* PyModule_GetName(PyObject *module)
.. index::
single: __name__ (module attribute)
single: SystemError (built-in exception)
Return *module*'s :attr:`__name__` value. If the module does not provide one,
or if it is not a string, :exc:`SystemError` is raised and *NULL* is returned.
.. cfunction:: char* PyModule_GetFilename(PyObject *module)
.. index::
single: __file__ (module attribute)
single: SystemError (built-in exception)
Return the name of the file from which *module* was loaded using *module*'s
:attr:`__file__` attribute. If this is not defined, or if it is not a string,
raise :exc:`SystemError` and return *NULL*.
.. cfunction:: int PyModule_AddObject(PyObject *module, const char *name, PyObject *value)
Add an object to *module* as *name*. This is a convenience function which can
be used from the module's initialization function. This steals a reference to
*value*. Return ``-1`` on error, ``0`` on success.
.. versionadded:: 2.0
.. cfunction:: int PyModule_AddIntConstant(PyObject *module, const char *name, long value)
Add an integer constant to *module* as *name*. This convenience function can be
used from the module's initialization function. Return ``-1`` on error, ``0`` on
success.
.. versionadded:: 2.0
.. cfunction:: int PyModule_AddStringConstant(PyObject *module, const char *name, const char *value)
Add a string constant to *module* as *name*. This convenience function can be
used from the module's initialization function. The string *value* must be
null-terminated. Return ``-1`` on error, ``0`` on success.
.. versionadded:: 2.0
.. highlightlang:: c
.. _noneobject:
The None Object
---------------
.. index:: object: None
Note that the :ctype:`PyTypeObject` for ``None`` is not directly exposed in the
Python/C API. Since ``None`` is a singleton, testing for object identity (using
``==`` in C) is sufficient. There is no :cfunc:`PyNone_Check` function for the
same reason.
.. cvar:: PyObject* Py_None
The Python ``None`` object, denoting lack of value. This object has no methods.
It needs to be treated just like any other object with respect to reference
counts.
.. cmacro:: Py_RETURN_NONE
Properly handle returning :cdata:`Py_None` from within a C function.
.. versionadded:: 2.4
This diff is collapsed.
.. highlightlang:: c
.. _abstract-buffer:
Buffer Protocol
===============
.. cfunction:: int PyObject_AsCharBuffer(PyObject *obj, const char **buffer, Py_ssize_t *buffer_len)
Returns a pointer to a read-only memory location useable as character- based
input. The *obj* argument must support the single-segment character buffer
interface. On success, returns ``0``, sets *buffer* to the memory location and
*buffer_len* to the buffer length. Returns ``-1`` and sets a :exc:`TypeError`
on error.
.. versionadded:: 1.6
.. cfunction:: int PyObject_AsReadBuffer(PyObject *obj, const void **buffer, Py_ssize_t *buffer_len)
Returns a pointer to a read-only memory location containing arbitrary data. The
*obj* argument must support the single-segment readable buffer interface. On
success, returns ``0``, sets *buffer* to the memory location and *buffer_len* to
the buffer length. Returns ``-1`` and sets a :exc:`TypeError` on error.
.. versionadded:: 1.6
.. cfunction:: int PyObject_CheckReadBuffer(PyObject *o)
Returns ``1`` if *o* supports the single-segment readable buffer interface.
Otherwise returns ``0``.
.. versionadded:: 2.2
.. cfunction:: int PyObject_AsWriteBuffer(PyObject *obj, void **buffer, Py_ssize_t *buffer_len)
Returns a pointer to a writeable memory location. The *obj* argument must
support the single-segment, character buffer interface. On success, returns
``0``, sets *buffer* to the memory location and *buffer_len* to the buffer
length. Returns ``-1`` and sets a :exc:`TypeError` on error.
.. versionadded:: 1.6
This diff is collapsed.
.. highlightlang:: c
.. _newtypes:
*****************************
Object Implementation Support
*****************************
This chapter describes the functions, types, and macros used when defining new
object types.
.. toctree::
allocation.rst
structures.rst
typeobj.rst
gcsupport.rst
.. highlightlang:: c
.. _sequence:
Sequence Protocol
=================
.. cfunction:: int PySequence_Check(PyObject *o)
Return ``1`` if the object provides sequence protocol, and ``0`` otherwise.
This function always succeeds.
.. cfunction:: Py_ssize_t PySequence_Size(PyObject *o)
.. index:: builtin: len
Returns the number of objects in sequence *o* on success, and ``-1`` on failure.
For objects that do not provide sequence protocol, this is equivalent to the
Python expression ``len(o)``.
.. cfunction:: Py_ssize_t PySequence_Length(PyObject *o)
Alternate name for :cfunc:`PySequence_Size`.
.. cfunction:: PyObject* PySequence_Concat(PyObject *o1, PyObject *o2)
Return the concatenation of *o1* and *o2* on success, and *NULL* on failure.
This is the equivalent of the Python expression ``o1 + o2``.
.. cfunction:: PyObject* PySequence_Repeat(PyObject *o, Py_ssize_t count)
Return the result of repeating sequence object *o* *count* times, or *NULL* on
failure. This is the equivalent of the Python expression ``o * count``.
.. cfunction:: PyObject* PySequence_InPlaceConcat(PyObject *o1, PyObject *o2)
Return the concatenation of *o1* and *o2* on success, and *NULL* on failure.
The operation is done *in-place* when *o1* supports it. This is the equivalent
of the Python expression ``o1 += o2``.
.. cfunction:: PyObject* PySequence_InPlaceRepeat(PyObject *o, Py_ssize_t count)
Return the result of repeating sequence object *o* *count* times, or *NULL* on
failure. The operation is done *in-place* when *o* supports it. This is the
equivalent of the Python expression ``o *= count``.
.. cfunction:: PyObject* PySequence_GetItem(PyObject *o, Py_ssize_t i)
Return the *i*th element of *o*, or *NULL* on failure. This is the equivalent of
the Python expression ``o[i]``.
.. cfunction:: PyObject* PySequence_GetSlice(PyObject *o, Py_ssize_t i1, Py_ssize_t i2)
Return the slice of sequence object *o* between *i1* and *i2*, or *NULL* on
failure. This is the equivalent of the Python expression ``o[i1:i2]``.
.. cfunction:: int PySequence_SetItem(PyObject *o, Py_ssize_t i, PyObject *v)
Assign object *v* to the *i*th element of *o*. Returns ``-1`` on failure. This
is the equivalent of the Python statement ``o[i] = v``. This function *does
not* steal a reference to *v*.
.. cfunction:: int PySequence_DelItem(PyObject *o, Py_ssize_t i)
Delete the *i*th element of object *o*. Returns ``-1`` on failure. This is the
equivalent of the Python statement ``del o[i]``.
.. cfunction:: int PySequence_SetSlice(PyObject *o, Py_ssize_t i1, Py_ssize_t i2, PyObject *v)
Assign the sequence object *v* to the slice in sequence object *o* from *i1* to
*i2*. This is the equivalent of the Python statement ``o[i1:i2] = v``.
.. cfunction:: int PySequence_DelSlice(PyObject *o, Py_ssize_t i1, Py_ssize_t i2)
Delete the slice in sequence object *o* from *i1* to *i2*. Returns ``-1`` on
failure. This is the equivalent of the Python statement ``del o[i1:i2]``.
.. cfunction:: Py_ssize_t PySequence_Count(PyObject *o, PyObject *value)
Return the number of occurrences of *value* in *o*, that is, return the number
of keys for which ``o[key] == value``. On failure, return ``-1``. This is
equivalent to the Python expression ``o.count(value)``.
.. cfunction:: int PySequence_Contains(PyObject *o, PyObject *value)
Determine if *o* contains *value*. If an item in *o* is equal to *value*,
return ``1``, otherwise return ``0``. On error, return ``-1``. This is
equivalent to the Python expression ``value in o``.
.. cfunction:: Py_ssize_t PySequence_Index(PyObject *o, PyObject *value)
Return the first index *i* for which ``o[i] == value``. On error, return
``-1``. This is equivalent to the Python expression ``o.index(value)``.
.. cfunction:: PyObject* PySequence_List(PyObject *o)
Return a list object with the same contents as the arbitrary sequence *o*. The
returned list is guaranteed to be new.
.. cfunction:: PyObject* PySequence_Tuple(PyObject *o)
.. index:: builtin: tuple
Return a tuple object with the same contents as the arbitrary sequence *o* or
*NULL* on failure. If *o* is a tuple, a new reference will be returned,
otherwise a tuple will be constructed with the appropriate contents. This is
equivalent to the Python expression ``tuple(o)``.
.. cfunction:: PyObject* PySequence_Fast(PyObject *o, const char *m)
Returns the sequence *o* as a tuple, unless it is already a tuple or list, in
which case *o* is returned. Use :cfunc:`PySequence_Fast_GET_ITEM` to access the
members of the result. Returns *NULL* on failure. If the object is not a
sequence, raises :exc:`TypeError` with *m* as the message text.
.. cfunction:: PyObject* PySequence_Fast_GET_ITEM(PyObject *o, Py_ssize_t i)
Return the *i*th element of *o*, assuming that *o* was returned by
:cfunc:`PySequence_Fast`, *o* is not *NULL*, and that *i* is within bounds.
.. cfunction:: PyObject** PySequence_Fast_ITEMS(PyObject *o)
Return the underlying array of PyObject pointers. Assumes that *o* was returned
by :cfunc:`PySequence_Fast` and *o* is not *NULL*.
.. versionadded:: 2.4
.. cfunction:: PyObject* PySequence_ITEM(PyObject *o, Py_ssize_t i)
Return the *i*th element of *o* or *NULL* on failure. Macro form of
:cfunc:`PySequence_GetItem` but without checking that
:cfunc:`PySequence_Check(o)` is true and without adjustment for negative
indices.
.. versionadded:: 2.3
.. cfunction:: Py_ssize_t PySequence_Fast_GET_SIZE(PyObject *o)
Returns the length of *o*, assuming that *o* was returned by
:cfunc:`PySequence_Fast` and that *o* is not *NULL*. The size can also be
gotten by calling :cfunc:`PySequence_Size` on *o*, but
:cfunc:`PySequence_Fast_GET_SIZE` is faster because it can assume *o* is a list
or tuple.
.. highlightlang:: c
.. _setobjects:
Set Objects
-----------
.. sectionauthor:: Raymond D. Hettinger <python@rcn.com>
.. index::
object: set
object: frozenset
.. versionadded:: 2.5
This section details the public API for :class:`set` and :class:`frozenset`
objects. Any functionality not listed below is best accessed using the either
the abstract object protocol (including :cfunc:`PyObject_CallMethod`,
:cfunc:`PyObject_RichCompareBool`, :cfunc:`PyObject_Hash`,
:cfunc:`PyObject_Repr`, :cfunc:`PyObject_IsTrue`, :cfunc:`PyObject_Print`, and
:cfunc:`PyObject_GetIter`) or the abstract number protocol (including
:cfunc:`PyNumber_And`, :cfunc:`PyNumber_Subtract`, :cfunc:`PyNumber_Or`,
:cfunc:`PyNumber_Xor`, :cfunc:`PyNumber_InPlaceAnd`,
:cfunc:`PyNumber_InPlaceSubtract`, :cfunc:`PyNumber_InPlaceOr`, and
:cfunc:`PyNumber_InPlaceXor`).
.. ctype:: PySetObject
This subtype of :ctype:`PyObject` is used to hold the internal data for both
:class:`set` and :class:`frozenset` objects. It is like a :ctype:`PyDictObject`
in that it is a fixed size for small sets (much like tuple storage) and will
point to a separate, variable sized block of memory for medium and large sized
sets (much like list storage). None of the fields of this structure should be
considered public and are subject to change. All access should be done through
the documented API rather than by manipulating the values in the structure.
.. cvar:: PyTypeObject PySet_Type
This is an instance of :ctype:`PyTypeObject` representing the Python
:class:`set` type.
.. cvar:: PyTypeObject PyFrozenSet_Type
This is an instance of :ctype:`PyTypeObject` representing the Python
:class:`frozenset` type.
The following type check macros work on pointers to any Python object. Likewise,
the constructor functions work with any iterable Python object.
.. cfunction:: int PyAnySet_Check(PyObject *p)
Return true if *p* is a :class:`set` object, a :class:`frozenset` object, or an
instance of a subtype.
.. cfunction:: int PyAnySet_CheckExact(PyObject *p)
Return true if *p* is a :class:`set` object or a :class:`frozenset` object but
not an instance of a subtype.
.. cfunction:: int PyFrozenSet_CheckExact(PyObject *p)
Return true if *p* is a :class:`frozenset` object but not an instance of a
subtype.
.. cfunction:: PyObject* PySet_New(PyObject *iterable)
Return a new :class:`set` containing objects returned by the *iterable*. The
*iterable* may be *NULL* to create a new empty set. Return the new set on
success or *NULL* on failure. Raise :exc:`TypeError` if *iterable* is not
actually iterable. The constructor is also useful for copying a set
(``c=set(s)``).
.. cfunction:: PyObject* PyFrozenSet_New(PyObject *iterable)
Return a new :class:`frozenset` containing objects returned by the *iterable*.
The *iterable* may be *NULL* to create a new empty frozenset. Return the new
set on success or *NULL* on failure. Raise :exc:`TypeError` if *iterable* is
not actually iterable.
The following functions and macros are available for instances of :class:`set`
or :class:`frozenset` or instances of their subtypes.
.. cfunction:: Py_ssize_t PySet_Size(PyObject *anyset)
.. index:: builtin: len
Return the length of a :class:`set` or :class:`frozenset` object. Equivalent to
``len(anyset)``. Raises a :exc:`PyExc_SystemError` if *anyset* is not a
:class:`set`, :class:`frozenset`, or an instance of a subtype.
.. cfunction:: Py_ssize_t PySet_GET_SIZE(PyObject *anyset)
Macro form of :cfunc:`PySet_Size` without error checking.
.. cfunction:: int PySet_Contains(PyObject *anyset, PyObject *key)
Return 1 if found, 0 if not found, and -1 if an error is encountered. Unlike
the Python :meth:`__contains__` method, this function does not automatically
convert unhashable sets into temporary frozensets. Raise a :exc:`TypeError` if
the *key* is unhashable. Raise :exc:`PyExc_SystemError` if *anyset* is not a
:class:`set`, :class:`frozenset`, or an instance of a subtype.
The following functions are available for instances of :class:`set` or its
subtypes but not for instances of :class:`frozenset` or its subtypes.
.. cfunction:: int PySet_Add(PyObject *set, PyObject *key)
Add *key* to a :class:`set` instance. Does not apply to :class:`frozenset`
instances. Return 0 on success or -1 on failure. Raise a :exc:`TypeError` if
the *key* is unhashable. Raise a :exc:`MemoryError` if there is no room to grow.
Raise a :exc:`SystemError` if *set* is an not an instance of :class:`set` or its
subtype.
.. cfunction:: int PySet_Discard(PyObject *set, PyObject *key)
Return 1 if found and removed, 0 if not found (no action taken), and -1 if an
error is encountered. Does not raise :exc:`KeyError` for missing keys. Raise a
:exc:`TypeError` if the *key* is unhashable. Unlike the Python :meth:`discard`
method, this function does not automatically convert unhashable sets into
temporary frozensets. Raise :exc:`PyExc_SystemError` if *set* is an not an
instance of :class:`set` or its subtype.
.. cfunction:: PyObject* PySet_Pop(PyObject *set)
Return a new reference to an arbitrary object in the *set*, and removes the
object from the *set*. Return *NULL* on failure. Raise :exc:`KeyError` if the
set is empty. Raise a :exc:`SystemError` if *set* is an not an instance of
:class:`set` or its subtype.
.. cfunction:: int PySet_Clear(PyObject *set)
Empty an existing set of all elements.
.. highlightlang:: c
.. _slice-objects:
Slice Objects
-------------
.. cvar:: PyTypeObject PySlice_Type
.. index:: single: SliceType (in module types)
The type object for slice objects. This is the same as ``slice`` and
``types.SliceType``.
.. cfunction:: int PySlice_Check(PyObject *ob)
Return true if *ob* is a slice object; *ob* must not be *NULL*.
.. cfunction:: PyObject* PySlice_New(PyObject *start, PyObject *stop, PyObject *step)
Return a new slice object with the given values. The *start*, *stop*, and
*step* parameters are used as the values of the slice object attributes of the
same names. Any of the values may be *NULL*, in which case the ``None`` will be
used for the corresponding attribute. Return *NULL* if the new object could not
be allocated.
.. cfunction:: int PySlice_GetIndices(PySliceObject *slice, Py_ssize_t length, Py_ssize_t *start, Py_ssize_t *stop, Py_ssize_t *step)
Retrieve the start, stop and step indices from the slice object *slice*,
assuming a sequence of length *length*. Treats indices greater than *length* as
errors.
Returns 0 on success and -1 on error with no exception set (unless one of the
indices was not :const:`None` and failed to be converted to an integer, in which
case -1 is returned with an exception set).
You probably do not want to use this function. If you want to use slice objects
in versions of Python prior to 2.3, you would probably do well to incorporate
the source of :cfunc:`PySlice_GetIndicesEx`, suitably renamed, in the source of
your extension.
.. cfunction:: int PySlice_GetIndicesEx(PySliceObject *slice, Py_ssize_t length, Py_ssize_t *start, Py_ssize_t *stop, Py_ssize_t *step, Py_ssize_t *slicelength)
Usable replacement for :cfunc:`PySlice_GetIndices`. Retrieve the start, stop,
and step indices from the slice object *slice* assuming a sequence of length
*length*, and store the length of the slice in *slicelength*. Out of bounds
indices are clipped in a manner consistent with the handling of normal slices.
Returns 0 on success and -1 on error with exception set.
.. versionadded:: 2.3
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.. highlightlang:: c
.. _tupleobjects:
Tuple Objects
-------------
.. index:: object: tuple
.. ctype:: PyTupleObject
This subtype of :ctype:`PyObject` represents a Python tuple object.
.. cvar:: PyTypeObject PyTuple_Type
.. index:: single: TupleType (in module types)
This instance of :ctype:`PyTypeObject` represents the Python tuple type; it is
the same object as ``tuple`` and ``types.TupleType`` in the Python layer..
.. cfunction:: int PyTuple_Check(PyObject *p)
Return true if *p* is a tuple object or an instance of a subtype of the tuple
type.
.. versionchanged:: 2.2
Allowed subtypes to be accepted.
.. cfunction:: int PyTuple_CheckExact(PyObject *p)
Return true if *p* is a tuple object, but not an instance of a subtype of the
tuple type.
.. versionadded:: 2.2
.. cfunction:: PyObject* PyTuple_New(Py_ssize_t len)
Return a new tuple object of size *len*, or *NULL* on failure.
.. cfunction:: PyObject* PyTuple_Pack(Py_ssize_t n, ...)
Return a new tuple object of size *n*, or *NULL* on failure. The tuple values
are initialized to the subsequent *n* C arguments pointing to Python objects.
``PyTuple_Pack(2, a, b)`` is equivalent to ``Py_BuildValue("(OO)", a, b)``.
.. versionadded:: 2.4
.. cfunction:: Py_ssize_t PyTuple_Size(PyObject *p)
Take a pointer to a tuple object, and return the size of that tuple.
.. cfunction:: Py_ssize_t PyTuple_GET_SIZE(PyObject *p)
Return the size of the tuple *p*, which must be non-*NULL* and point to a tuple;
no error checking is performed.
.. cfunction:: PyObject* PyTuple_GetItem(PyObject *p, Py_ssize_t pos)
Return the object at position *pos* in the tuple pointed to by *p*. If *pos* is
out of bounds, return *NULL* and sets an :exc:`IndexError` exception.
.. cfunction:: PyObject* PyTuple_GET_ITEM(PyObject *p, Py_ssize_t pos)
Like :cfunc:`PyTuple_GetItem`, but does no checking of its arguments.
.. cfunction:: PyObject* PyTuple_GetSlice(PyObject *p, Py_ssize_t low, Py_ssize_t high)
Take a slice of the tuple pointed to by *p* from *low* to *high* and return it
as a new tuple.
.. cfunction:: int PyTuple_SetItem(PyObject *p, Py_ssize_t pos, PyObject *o)
Insert a reference to object *o* at position *pos* of the tuple pointed to by
*p*. Return ``0`` on success.
.. note::
This function "steals" a reference to *o*.
.. cfunction:: void PyTuple_SET_ITEM(PyObject *p, Py_ssize_t pos, PyObject *o)
Like :cfunc:`PyTuple_SetItem`, but does no error checking, and should *only* be
used to fill in brand new tuples.
.. note::
This function "steals" a reference to *o*.
.. cfunction:: int _PyTuple_Resize(PyObject **p, Py_ssize_t newsize)
Can be used to resize a tuple. *newsize* will be the new length of the tuple.
Because tuples are *supposed* to be immutable, this should only be used if there
is only one reference to the object. Do *not* use this if the tuple may already
be known to some other part of the code. The tuple will always grow or shrink
at the end. Think of this as destroying the old tuple and creating a new one,
only more efficiently. Returns ``0`` on success. Client code should never
assume that the resulting value of ``*p`` will be the same as before calling
this function. If the object referenced by ``*p`` is replaced, the original
``*p`` is destroyed. On failure, returns ``-1`` and sets ``*p`` to *NULL*, and
raises :exc:`MemoryError` or :exc:`SystemError`.
.. versionchanged:: 2.2
Removed unused third parameter, *last_is_sticky*.
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