ctypes
— 用于 Python 的外来函数库
¶
ctypes
是用于 Python 的外部函数库。它提供 C 兼容数据类型,且允许调用 DLL 或共享库中的函数。可以使用它以将这些库包裹在纯 Python 中。
注意:本教程中的代码样本使用
doctest
以确保它们能实际工作。由于某些代码范例在 Linux、Windows 或 Mac OS X 下的行为会有所不同,因此,它们在注释中包含 doctest 指令。
注意:某些代码样本引用 ctypes
c_int
类。当平台
sizeof(long)
==
sizeof(int)
,它是别名
c_long
。因此,不应该感到困惑若
c_long
被打印若期望
c_int
— 它们实际上是同一类型。
ctypes
导出
cdll
,Windows
windll
and
oledll
对象,为加载 DLL (动态链接库)。
通过把库作为这些对象的属性进行访问,加载库。
cdll
加载库,其导出函数使用标准
cdecl
调用约定,而
windll
库调用函数使用
stdcall
调用约定。
oledll
也使用
stdcall
调用约定,并假定函数返回 Windows
HRESULT
错误代码。错误代码被用于自动引发
OSError
异常,当函数调用失败时。
3.3 版改变:
Windows 错误被用于引发
WindowsError
,现在是别名
OSError
.
这里是一些 Windows 范例。注意:
msvcrt
是包含大多数标准 C 函数的 MS 标准 C 库,且使用 cdecl 调用约定:
>>> from ctypes import *
>>> print(windll.kernel32)
<WinDLL 'kernel32', handle ... at ...>
>>> print(cdll.msvcrt)
<CDLL 'msvcrt', handle ... at ...>
>>> libc = cdll.msvcrt
>>>
Windows 追加通常
.dll
文件后缀,自动地。
注意
访问标准 C 库透过
cdll.msvcrt
will use an outdated version of the library that may be incompatible with the one being used by Python. Where possible, use native Python functionality, or else import and use the
msvcrt
模块。
在 Linux,必需指定文件名
包括
扩展名以加载库,因此不可以使用属性访问去加载库。
LoadLibrary()
方法的 DLL 加载程序应该被使用,或应该通过调用构造函数,创建 CDLL 实例加载库:
>>> cdll.LoadLibrary("libc.so.6")
<CDLL 'libc.so.6', handle ... at ...>
>>> libc = CDLL("libc.so.6")
>>> libc
<CDLL 'libc.so.6', handle ... at ...>
>>>
函数作为 DLL 对象的属性被访问:
>>> from ctypes import *
>>> libc.printf
<_FuncPtr object at 0x...>
>>> print(windll.kernel32.GetModuleHandleA)
<_FuncPtr object at 0x...>
>>> print(windll.kernel32.MyOwnFunction)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "ctypes.py", line 239, in __getattr__
func = _StdcallFuncPtr(name, self)
AttributeError: function 'MyOwnFunction' not found
>>>
注意:win32 系统 DLL 像
kernel32
and
user32
often export ANSI as well as UNICODE versions of a function. The UNICODE version is exported with an
W
追加到名称,而导出的 ANSI 版本带
A
追加到名称。win32
GetModuleHandle
函数,其返回
module handle
为给定模块名,拥有以下 C 原型,且宏被用于曝光它们之一因为
GetModuleHandle
取决于 UNICODE 是否被定义:
/* ANSI version */
HMODULE GetModuleHandleA(LPCSTR lpModuleName);
/* UNICODE version */
HMODULE GetModuleHandleW(LPCWSTR lpModuleName);
windll
不会试着通过 Magic (魔法) 选择它们之一,您必须访问所需版本通过指定
GetModuleHandleA
or
GetModuleHandleW
明确,然后分别采用字节或字符串对象调用它。
有时,DLL 导出函数采用的名称不是有效 Python 标识符,像
"??2@YAPAXI@Z"
。在这种情况下,必须使用
getattr()
去检索函数:
>>> getattr(cdll.msvcrt, "??2@YAPAXI@Z")
<_FuncPtr object at 0x...>
>>>
On Windows, some dlls export functions not by name but by ordinal. These functions can be accessed by indexing the dll object with the ordinal number:
>>> cdll.kernel32[1]
<_FuncPtr object at 0x...>
>>> cdll.kernel32[0]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "ctypes.py", line 310, in __getitem__
func = _StdcallFuncPtr(name, self)
AttributeError: function ordinal 0 not found
>>>
可以像调用任何其它 Python 回调一样,调用这些函数。此范例使用
time()
函数,其返回自 Unix 纪元以来的系统时间 (以秒为单位),而
GetModuleHandleA()
函数,其返回 win32 模块句柄。
此范例采用 NULL 指针调用 2 函数 (
None
应该被用作 NULL 指针):
>>> print(libc.time(None))
1150640792
>>> print(hex(windll.kernel32.GetModuleHandleA(None)))
0x1d000000
>>>
注意
ctypes
可能引发
ValueError
after calling the function, if it detects that an invalid number of arguments were passed. This behavior should not be relied upon. It is deprecated in 3.6.2, and will be removed in 3.7.
ValueError
被引发当调用
stdcall
函数采用
cdecl
调用约定,反之亦然:
>>> cdll.kernel32.GetModuleHandleA(None)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: Procedure probably called with not enough arguments (4 bytes missing)
>>>
>>> windll.msvcrt.printf(b"spam")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: Procedure probably called with too many arguments (4 bytes in excess)
>>>
要找出正确调用约定,必须查看 C 头文件 (或希望调用的函数文档编制)。
在 Windows,
ctypes
使用 win32 结构化异常处理去预防来自一般保护故障的崩溃,当函数采用无效自变量值被调用时:
>>> windll.kernel32.GetModuleHandleA(32)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
OSError: exception: access violation reading 0x00000020
>>>
不管怎样,有足够的办法崩溃 Python 采用
ctypes
,所以无论如何都要小心。
faulthandler
模块有助于调试崩溃 (如:由不正确 C 库调用产生的分段故障)。
None
、整数、字节对象及 (unicode) 字符串是唯一本机 Python 对象,可以被直接用作这些函数调用的参数。
None
被传递作为 C
NULL
指针,字节对象和字符串被传递作为指向包含其数据的内存块的指针 (
char
*
or
wchar_t
*
)。Python 整数被传递作为平台默认 C
int
类型。它们的值被屏蔽以拟合成 C 类型。
在继续采用其它参数类型调用函数之前,必须了解更多有关
ctypes
数据类型。
ctypes
定义了许多首要 C 兼容数据类型:
| ctypes 类型 | C 类型 | Python 类型 |
|---|---|---|
c_bool
|
_Bool
|
bool (1) |
c_char
|
char
|
1 字符 bytes 对象 |
c_wchar
|
wchar_t
|
1 字符字符串 |
c_byte
|
char
|
int |
c_ubyte
|
unsigned
char
|
int |
c_short
|
short
|
int |
c_ushort
|
unsigned
short
|
int |
c_int
|
int
|
int |
c_uint
|
unsigned
int
|
int |
c_long
|
long
|
int |
c_ulong
|
unsigned
long
|
int |
c_longlong
|
__int64
or
long
long
|
int |
c_ulonglong
|
unsigned
__int64
or
unsigned
long
long
|
int |
c_size_t
|
size_t
|
int |
c_ssize_t
|
ssize_t
or
Py_ssize_t
|
int |
c_float
|
float
|
float |
c_double
|
double
|
float |
c_longdouble
|
long
double
|
float |
c_char_p
|
char
*
(Null 结尾)
|
bytes 对象或
None
|
c_wchar_p
|
wchar_t
*
(Null 结尾)
|
字符串或
None
|
c_void_p
|
void
*
|
int 或
None
|
所有这些类型可以被创建,通过采用正确类型的可选初始化程序和值调用它们:
>>> c_int()
c_long(0)
>>> c_wchar_p("Hello, World")
c_wchar_p(140018365411392)
>>> c_ushort(-3)
c_ushort(65533)
>>>
由于这些类型是可变的,它们的值也可以在之后改变:
>>> i = c_int(42)
>>> print(i)
c_long(42)
>>> print(i.value)
42
>>> i.value = -99
>>> print(i.value)
-99
>>>
把新值赋值给指针实例,为类型
c_char_p
,
c_wchar_p
,和
c_void_p
改变
内存定位
指向,
不是内容
的内存块 (当然不是,因为 Python 字节对象是不可变的):
>>> s = "Hello, World"
>>> c_s = c_wchar_p(s)
>>> print(c_s)
c_wchar_p(139966785747344)
>>> print(c_s.value)
Hello World
>>> c_s.value = "Hi, there"
>>> print(c_s) # the memory location has changed
c_wchar_p(139966783348904)
>>> print(c_s.value)
Hi, there
>>> print(s) # first object is unchanged
Hello, World
>>>
You should be careful, however, not to pass them to functions expecting pointers to mutable memory. If you need mutable memory blocks, ctypes has a
create_string_buffer()
function which creates these in various ways. The current memory block contents can be accessed (or changed) with the
raw
特性;若希望以 NULL 终止字符串方式访问它,请使用
value
特性:
>>> from ctypes import *
>>> p = create_string_buffer(3) # create a 3 byte buffer, initialized to NUL bytes
>>> print(sizeof(p), repr(p.raw))
3 b'\x00\x00\x00'
>>> p = create_string_buffer(b"Hello") # create a buffer containing a NUL terminated string
>>> print(sizeof(p), repr(p.raw))
6 b'Hello\x00'
>>> print(repr(p.value))
b'Hello'
>>> p = create_string_buffer(b"Hello", 10) # create a 10 byte buffer
>>> print(sizeof(p), repr(p.raw))
10 b'Hello\x00\x00\x00\x00\x00'
>>> p.value = b"Hi"
>>> print(sizeof(p), repr(p.raw))
10 b'Hi\x00lo\x00\x00\x00\x00\x00'
>>>
create_string_buffer()
函数替换
c_buffer()
函数 (仍然可以用作别名),及
c_string()
function from earlier ctypes releases. To create a mutable memory block containing unicode characters of the C type
wchar_t
使用
create_unicode_buffer()
函数。
注意:printf 打印到真正的标准输出通道,
not
to
sys.stdout
,因此,这些范例将仅工作于控制台提示,而不是
IDLE
or
PythonWin
:
>>> printf = libc.printf
>>> printf(b"Hello, %s\n", b"World!")
Hello, World!
14
>>> printf(b"Hello, %S\n", "World!")
Hello, World!
14
>>> printf(b"%d bottles of beer\n", 42)
42 bottles of beer
19
>>> printf(b"%f bottles of beer\n", 42.5)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ArgumentError: argument 2: exceptions.TypeError: Don't know how to convert parameter 2
>>>
如前所述,除整数、字符串及 bytes 对象外,所有 Python 类型都必须包裹在其相应
ctypes
类型,以便它们被转换成所需的 C 数据类型:
>>> printf(b"An int %d, a double %f\n", 1234, c_double(3.14))
An int 1234, a double 3.140000
31
>>>
也可以定制
ctypes
自变量转换,以允许您自己的类实例被用作函数自变量。
ctypes
寻找
_as_parameter_
attribute and uses this as the function argument. Of course, it must be one of integer, string, or bytes:
>>> class Bottles:
... def __init__(self, number):
... self._as_parameter_ = number
...
>>> bottles = Bottles(42)
>>> printf(b"%d bottles of beer\n", bottles)
42 bottles of beer
19
>>>
若不想把实例数据存储在
_as_parameter_
实例变量,您可以定义
property
使属性在请求时可用。
指定从 DLL 导出函数所需的自变量类型是可能的,通过设置
argtypes
属性。
argtypes
必须是 C 数据类型序列 (
printf
函数在此或许不是好范例,因为它接受可变数和取决于格式字符串的不同参数类型,另一方面,这对采用此特征进行试验是非常顺手的):
>>> printf.argtypes = [c_char_p, c_char_p, c_int, c_double]
>>> printf(b"String '%s', Int %d, Double %f\n", b"Hi", 10, 2.2)
String 'Hi', Int 10, Double 2.200000
37
>>>
指定格式保护不兼容自变量类型 (就像 C 函数原型),并试着把自变量转换成有效类型:
>>> printf(b"%d %d %d", 1, 2, 3)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ArgumentError: argument 2: exceptions.TypeError: wrong type
>>> printf(b"%s %d %f\n", b"X", 2, 3)
X 2 3.000000
13
>>>
If you have defined your own classes which you pass to function calls, you have to implement a
from_param()
class method for them to be able to use them in the
argtypes
sequence. The
from_param()
class method receives the Python object passed to the function call, it should do a typecheck or whatever is needed to make sure this object is acceptable, and then return the object itself, its
_as_parameter_
attribute, or whatever you want to pass as the C function argument in this case. Again, the result should be an integer, string, bytes, a
ctypes
instance, or an object with an
_as_parameter_
属性。
默认情况下,假定函数返回 C
int
类型。其它返回类型可以被指定,通过设置
restype
属性为函数对象。
这里是更高级范例,它使用
strchr
函数,其期望字符串指针和 char,并返回指向字符串的指针:
>>> strchr = libc.strchr
>>> strchr(b"abcdef", ord("d"))
8059983
>>> strchr.restype = c_char_p # c_char_p is a pointer to a string
>>> strchr(b"abcdef", ord("d"))
b'def'
>>> print(strchr(b"abcdef", ord("x")))
None
>>>
If you want to avoid the
ord("x")
calls above, you can set the
argtypes
attribute, and the second argument will be converted from a single character Python bytes object into a C char:
>>> strchr.restype = c_char_p
>>> strchr.argtypes = [c_char_p, c_char]
>>> strchr(b"abcdef", b"d")
'def'
>>> strchr(b"abcdef", b"def")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ArgumentError: argument 2: exceptions.TypeError: one character string expected
>>> print(strchr(b"abcdef", b"x"))
None
>>> strchr(b"abcdef", b"d")
'def'
>>>
You can also use a callable Python object (a function or a class for example) as the
restype
attribute, if the foreign function returns an integer. The callable will be called with the
integer
the C function returns, and the result of this call will be used as the result of your function call. This is useful to check for error return values and automatically raise an exception:
>>> GetModuleHandle = windll.kernel32.GetModuleHandleA
>>> def ValidHandle(value):
... if value == 0:
... raise WinError()
... return value
...
>>>
>>> GetModuleHandle.restype = ValidHandle
>>> GetModuleHandle(None)
486539264
>>> GetModuleHandle("something silly")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 3, in ValidHandle
OSError: [Errno 126] The specified module could not be found.
>>>
WinError
is a function which will call Windows
FormatMessage()
api to get the string representation of an error code, and
返回
an exception.
WinError
takes an optional error code parameter, if no one is used, it calls
GetLastError()
to retrieve it.
Please note that a much more powerful error checking mechanism is available through the
errcheck
attribute; see the reference manual for details.
Sometimes a C api function expects a pointer to a data type as parameter, probably to write into the corresponding location, or if the data is too large to be passed by value. This is also known as 通过引用传递参数 .
ctypes
导出
byref()
function which is used to pass parameters by reference. The same effect can be achieved with the
pointer()
function, although
pointer()
does a lot more work since it constructs a real pointer object, so it is faster to use
byref()
if you don’t need the pointer object in Python itself:
>>> i = c_int()
>>> f = c_float()
>>> s = create_string_buffer(b'\000' * 32)
>>> print(i.value, f.value, repr(s.value))
0 0.0 b''
>>> libc.sscanf(b"1 3.14 Hello", b"%d %f %s",
... byref(i), byref(f), s)
3
>>> print(i.value, f.value, repr(s.value))
1 3.1400001049 b'Hello'
>>>
Structure 和 Union 必须派生自
Structure
and
Union
基类,其被定义在
ctypes
模块。每个子类必须定义
_fields_
属性。
_fields_
必须是列表
2-tuples
,包含
field name
和
field type
.
字段类型必须是
ctypes
类型像
c_int
,或任何其它派生
ctypes
类:Structure、Union、Array、Pointer。
这里是简单 POINT 结构范例,其包含 2 个整数,名为 x and y ,并展示如何在构造函数中初始化结构:
>>> from ctypes import *
>>> class POINT(Structure):
... _fields_ = [("x", c_int),
... ("y", c_int)]
...
>>> point = POINT(10, 20)
>>> print(point.x, point.y)
10 20
>>> point = POINT(y=5)
>>> print(point.x, point.y)
0 5
>>> POINT(1, 2, 3)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: too many initializers
>>>
You can, however, build much more complicated structures. A structure can itself contain other structures by using a structure as a field type.
Here is a RECT structure which contains two POINTs named upperleft and lowerright :
>>> class RECT(Structure):
... _fields_ = [("upperleft", POINT),
... ("lowerright", POINT)]
...
>>> rc = RECT(point)
>>> print(rc.upperleft.x, rc.upperleft.y)
0 5
>>> print(rc.lowerright.x, rc.lowerright.y)
0 0
>>>
Nested structures can also be initialized in the constructor in several ways:
>>> r = RECT(POINT(1, 2), POINT(3, 4))
>>> r = RECT((1, 2), (3, 4))
字段 descriptor s can be retrieved from the class , they are useful for debugging because they can provide useful information:
>>> print(POINT.x)
<Field type=c_long, ofs=0, size=4>
>>> print(POINT.y)
<Field type=c_long, ofs=4, size=4>
>>>
警告
ctypes
does not support passing unions or structures with bit-fields to functions by value. While this may work on 32-bit x86, it’s not guaranteed by the library to work in the general case. Unions and structures with bit-fields should always be passed to functions by pointer.
By default, Structure and Union fields are aligned in the same way the C compiler does it. It is possible to override this behavior be specifying a
_pack_
class attribute in the subclass definition. This must be set to a positive integer and specifies the maximum alignment for the fields. This is what
#pragma
pack(n)
also does in MSVC.
ctypes
uses the native byte order for Structures and Unions. To build structures with non-native byte order, you can use one of the
BigEndianStructure
,
LittleEndianStructure
,
BigEndianUnion
,和
LittleEndianUnion
base classes. These classes cannot contain pointer fields.
It is possible to create structures and unions containing bit fields. Bit fields are only possible for integer fields, the bit width is specified as the third item in the
_fields_
tuples:
>>> class Int(Structure):
... _fields_ = [("first_16", c_int, 16),
... ("second_16", c_int, 16)]
...
>>> print(Int.first_16)
<Field type=c_long, ofs=0:0, bits=16>
>>> print(Int.second_16)
<Field type=c_long, ofs=0:16, bits=16>
>>>
Arrays are sequences, containing a fixed number of instances of the same type.
The recommended way to create array types is by multiplying a data type with a positive integer:
TenPointsArrayType = POINT * 10
Here is an example of a somewhat artificial data type, a structure containing 4 POINTs among other stuff:
>>> from ctypes import *
>>> class POINT(Structure):
... _fields_ = ("x", c_int), ("y", c_int)
...
>>> class MyStruct(Structure):
... _fields_ = [("a", c_int),
... ("b", c_float),
... ("point_array", POINT * 4)]
>>>
>>> print(len(MyStruct().point_array))
4
>>>
Instances are created in the usual way, by calling the class:
arr = TenPointsArrayType()
for pt in arr:
print(pt.x, pt.y)
The above code print a series of
0
0
lines, because the array contents is initialized to zeros.
Initializers of the correct type can also be specified:
>>> from ctypes import *
>>> TenIntegers = c_int * 10
>>> ii = TenIntegers(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
>>> print(ii)
<c_long_Array_10 object at 0x...>
>>> for i in ii: print(i, end=" ")
...
1 2 3 4 5 6 7 8 9 10
>>>
指针实例被创建,通过调用
pointer()
函数在
ctypes
类型:
>>> from ctypes import *
>>> i = c_int(42)
>>> pi = pointer(i)
>>>
Pointer instances have a
contents
attribute which returns the object to which the pointer points, the
i
object above:
>>> pi.contents
c_long(42)
>>>
注意,
ctypes
does not have OOR (original object return), it constructs a new, equivalent object each time you retrieve an attribute:
>>> pi.contents is i
False
>>> pi.contents is pi.contents
False
>>>
Assigning another
c_int
instance to the pointer’s contents attribute would cause the pointer to point to the memory location where this is stored:
>>> i = c_int(99)
>>> pi.contents = i
>>> pi.contents
c_long(99)
>>>
Pointer instances can also be indexed with integers:
>>> pi[0]
99
>>>
Assigning to an integer index changes the pointed to value:
>>> print(i)
c_long(99)
>>> pi[0] = 22
>>> print(i)
c_long(22)
>>>
It is also possible to use indexes different from 0, but you must know what you’re doing, just as in C: You can access or change arbitrary memory locations. Generally you only use this feature if you receive a pointer from a C function, and you know that the pointer actually points to an array instead of a single item.
Behind the scenes, the
pointer()
function does more than simply create pointer instances, it has to create pointer
types
first. This is done with the
POINTER()
function, which accepts any
ctypes
type, and returns a new type:
>>> PI = POINTER(c_int)
>>> PI
<class 'ctypes.LP_c_long'>
>>> PI(42)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: expected c_long instead of int
>>> PI(c_int(42))
<ctypes.LP_c_long object at 0x...>
>>>
Calling the pointer type without an argument creates a
NULL
pointer.
NULL
pointers have a
False
boolean value:
>>> null_ptr = POINTER(c_int)()
>>> print(bool(null_ptr))
False
>>>
ctypes
checks for
NULL
when dereferencing pointers (but dereferencing invalid non-
NULL
pointers would crash Python):
>>> null_ptr[0]
Traceback (most recent call last):
....
ValueError: NULL pointer access
>>>
>>> null_ptr[0] = 1234
Traceback (most recent call last):
....
ValueError: NULL pointer access
>>>
Usually, ctypes does strict type checking. This means, if you have
POINTER(c_int)
在
argtypes
list of a function or as the type of a member field in a structure definition, only instances of exactly the same type are accepted. There are some exceptions to this rule, where ctypes accepts other objects. For example, you can pass compatible array instances instead of pointer types. So, for
POINTER(c_int)
, ctypes accepts an array of c_int:
>>> class Bar(Structure):
... _fields_ = [("count", c_int), ("values", POINTER(c_int))]
...
>>> bar = Bar()
>>> bar.values = (c_int * 3)(1, 2, 3)
>>> bar.count = 3
>>> for i in range(bar.count):
... print(bar.values[i])
...
1
2
3
>>>
In addition, if a function argument is explicitly declared to be a pointer type (such as
POINTER(c_int)
) in
argtypes
, an object of the pointed type (
c_int
in this case) can be passed to the function. ctypes will apply the required
byref()
conversion in this case automatically.
To set a POINTER type field to
NULL
, you can assign
None
:
>>> bar.values = None
>>>
Sometimes you have instances of incompatible types. In C, you can cast one type into another type.
ctypes
提供
cast()
function which can be used in the same way. The
Bar
structure defined above accepts
POINTER(c_int)
pointers or
c_int
arrays for its
values
field, but not instances of other types:
>>> bar.values = (c_byte * 4)()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: incompatible types, c_byte_Array_4 instance instead of LP_c_long instance
>>>
For these cases, the
cast()
function is handy.
cast()
function can be used to cast a ctypes instance into a pointer to a different ctypes data type.
cast()
takes two parameters, a ctypes object that is or can be converted to a pointer of some kind, and a ctypes pointer type. It returns an instance of the second argument, which references the same memory block as the first argument:
>>> a = (c_byte * 4)()
>>> cast(a, POINTER(c_int))
<ctypes.LP_c_long object at ...>
>>>
So,
cast()
can be used to assign to the
values
field of
Bar
the structure:
>>> bar = Bar()
>>> bar.values = cast((c_byte * 4)(), POINTER(c_int))
>>> print(bar.values[0])
0
>>>
Incomplete Types are structures, unions or arrays whose members are not yet specified. In C, they are specified by forward declarations, which are defined later:
struct cell; /* forward declaration */
struct cell {
char *name;
struct cell *next;
};
The straightforward translation into ctypes code would be this, but it does not work:
>>> class cell(Structure):
... _fields_ = [("name", c_char_p),
... ("next", POINTER(cell))]
...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<stdin>", line 2, in cell
NameError: name 'cell' is not defined
>>>
because the new
class
cell
is not available in the class statement itself. In
ctypes
, we can define the
cell
class and set the
_fields_
attribute later, after the class statement:
>>> from ctypes import *
>>> class cell(Structure):
... pass
...
>>> cell._fields_ = [("name", c_char_p),
... ("next", POINTER(cell))]
>>>
Lets try it. We create two instances of
cell
, and let them point to each other, and finally follow the pointer chain a few times:
>>> c1 = cell()
>>> c1.name = "foo"
>>> c2 = cell()
>>> c2.name = "bar"
>>> c1.next = pointer(c2)
>>> c2.next = pointer(c1)
>>> p = c1
>>> for i in range(8):
... print(p.name, end=" ")
... p = p.next[0]
...
foo bar foo bar foo bar foo bar
>>>
ctypes
allows creating C callable function pointers from Python callables. These are sometimes called
回调函数
.
First, you must create a class for the callback function. The class knows the calling convention, the return type, and the number and types of arguments this function will receive.
CFUNCTYPE()
工厂函数为回调函数创建类型,使用
cdecl
调用约定。在 Windows,
WINFUNCTYPE()
工厂函数为回调函数创建类型,使用
stdcall
调用约定。
这 2 工厂函数采用结果类型作为第一自变量被调用,而回调函数把期望自变量类型作为剩余自变量。
此处将呈现的范例,使用标准 C 库的
qsort()
函数,用于在回调函数的帮助下对项进行排序。
qsort()
将被用于对整数数组进行排序:
>>> IntArray5 = c_int * 5
>>> ia = IntArray5(5, 1, 7, 33, 99)
>>> qsort = libc.qsort
>>> qsort.restype = None
>>>
qsort()
must be called with a pointer to the data to sort, the number of items in the data array, the size of one item, and a pointer to the comparison function, the callback. The callback will then be called with two pointers to items, and it must return a negative integer if the first item is smaller than the second, a zero if they are equal, and a positive integer otherwise.
因此,回调函数接收指向整数的指针,且必须返回整数。首先,我们创建
type
为回调函数:
>>> CMPFUNC = CFUNCTYPE(c_int, POINTER(c_int), POINTER(c_int))
>>>
开始,这里是展示它获取传递值的简单回调:
>>> def py_cmp_func(a, b):
... print("py_cmp_func", a[0], b[0])
... return 0
...
>>> cmp_func = CMPFUNC(py_cmp_func)
>>>
结果:
>>> qsort(ia, len(ia), sizeof(c_int), cmp_func)
py_cmp_func 5 1
py_cmp_func 33 99
py_cmp_func 7 33
py_cmp_func 5 7
py_cmp_func 1 7
>>>
现在,我们可以实际比较 2 项并返回有用结果:
>>> def py_cmp_func(a, b):
... print("py_cmp_func", a[0], b[0])
... return a[0] - b[0]
...
>>>
>>> qsort(ia, len(ia), sizeof(c_int), CMPFUNC(py_cmp_func))
py_cmp_func 5 1
py_cmp_func 33 99
py_cmp_func 7 33
py_cmp_func 1 7
py_cmp_func 5 7
>>>
正如可以轻松校验那样,我们现在对数组进行排序:
>>> for i in ia: print(i, end=" ")
...
1 5 7 33 99
>>>
函数工厂可以被用作装饰器工厂,因此也可以这样写:
>>> @CFUNCTYPE(c_int, POINTER(c_int), POINTER(c_int))
... def py_cmp_func(a, b):
... print("py_cmp_func", a[0], b[0])
... return a[0] - b[0]
...
>>> qsort(ia, len(ia), sizeof(c_int), py_cmp_func)
py_cmp_func 5 1
py_cmp_func 33 99
py_cmp_func 7 33
py_cmp_func 1 7
py_cmp_func 5 7
>>>
注意
确保保持引用
CFUNCTYPE()
对象,只要从 C 代码中使用它们。
ctypes
不会,若不这样做,它们可能被垃圾回收,从而使您的程序在回调时崩溃。
Also, note that if the callback function is called in a thread created outside of Python’s control (e.g. by the foreign code that calls the callback), ctypes creates a new dummy Python thread on every invocation. This behavior is correct for most purposes, but it means that values stored with
threading.local
will
not
跨不同回调幸存,即使那些调用是从同一 C 线程中进行的。
Some shared libraries not only export functions, they also export variables. An example in the Python library itself is the
Py_OptimizeFlag
, an integer set to 0, 1, or 2, depending on the
-O
or
-OO
flag given on startup.
ctypes
can access values like this with the
in_dll()
class methods of the type.
pythonapi
is a predefined symbol giving access to the Python C api:
>>> opt_flag = c_int.in_dll(pythonapi, "Py_OptimizeFlag")
>>> print(opt_flag)
c_long(0)
>>>
If the interpreter would have been started with
-O
, the sample would have printed
c_long(1)
,或
c_long(2)
if
-OO
would have been specified.
An extended example which also demonstrates the use of pointers accesses the
PyImport_FrozenModules
pointer exported by Python.
Quoting the docs for that value:
This pointer is initialized to point to an array ofstruct _frozenrecords, terminated by one whose members are all NULL or zero. When a frozen module is imported, it is searched in this table. Third-party code could play tricks with this to provide a dynamically created collection of frozen modules.
So manipulating this pointer could even prove useful. To restrict the example size, we show only how this table can be read with
ctypes
:
>>> from ctypes import *
>>>
>>> class struct_frozen(Structure):
... _fields_ = [("name", c_char_p),
... ("code", POINTER(c_ubyte)),
... ("size", c_int)]
...
>>>
We have defined the
struct
_frozen
data type, so we can get the pointer to the table:
>>> FrozenTable = POINTER(struct_frozen)
>>> table = FrozenTable.in_dll(pythonapi, "PyImport_FrozenModules")
>>>
Since
table
是
pointer
to the array of
struct_frozen
records, we can iterate over it, but we just have to make sure that our loop terminates, because pointers have no size. Sooner or later it would probably crash with an access violation or whatever, so it’s better to break out of the loop when we hit the NULL entry:
>>> for item in table:
... if item.name is None:
... break
... print(item.name.decode("ascii"), item.size)
...
_frozen_importlib 31764
_frozen_importlib_external 41499
__hello__ 161
__phello__ -161
__phello__.spam 161
>>>
The fact that standard Python has a frozen module and a frozen package (indicated by the negative size member) is not well known, it is only used for testing. Try it out with
import
__hello__
例如。
There are some edges in
ctypes
where you might expect something other than what actually happens.
Consider the following example:
>>> from ctypes import *
>>> class POINT(Structure):
... _fields_ = ("x", c_int), ("y", c_int)
...
>>> class RECT(Structure):
... _fields_ = ("a", POINT), ("b", POINT)
...
>>> p1 = POINT(1, 2)
>>> p2 = POINT(3, 4)
>>> rc = RECT(p1, p2)
>>> print(rc.a.x, rc.a.y, rc.b.x, rc.b.y)
1 2 3 4
>>> # now swap the two points
>>> rc.a, rc.b = rc.b, rc.a
>>> print(rc.a.x, rc.a.y, rc.b.x, rc.b.y)
3 4 3 4
>>>
Hm. We certainly expected the last statement to print
3
4
1
2
. What happened? Here are the steps of the
rc.a,
rc.b
=
rc.b,
rc.a
line above:
>>> temp0, temp1 = rc.b, rc.a
>>> rc.a = temp0
>>> rc.b = temp1
>>>
注意,
temp0
and
temp1
are objects still using the internal buffer of the
rc
object above. So executing
rc.a
=
temp0
copies the buffer contents of
temp0
into
rc
‘s buffer. This, in turn, changes the contents of
temp1
. So, the last assignment
rc.b
=
temp1
, doesn’t have the expected effect.
Keep in mind that retrieving sub-objects from Structure, Unions, and Arrays doesn’t copy the sub-object, instead it retrieves a wrapper object accessing the root-object’s underlying buffer.
Another example that may behave different from what one would expect is this:
>>> s = c_char_p()
>>> s.value = "abc def ghi"
>>> s.value
'abc def ghi'
>>> s.value is s.value
False
>>>
Why is it printing
False
? ctypes instances are objects containing a memory block plus some
descriptor
s accessing the contents of the memory. Storing a Python object in the memory block does not store the object itself, instead the
contents
of the object is stored. Accessing the contents again constructs a new Python object each time!
ctypes
provides some support for variable-sized arrays and structures.
resize()
function can be used to resize the memory buffer of an existing ctypes object. The function takes the object as first argument, and the requested size in bytes as the second argument. The memory block cannot be made smaller than the natural memory block specified by the objects type, a
ValueError
is raised if this is tried:
>>> short_array = (c_short * 4)()
>>> print(sizeof(short_array))
8
>>> resize(short_array, 4)
Traceback (most recent call last):
...
ValueError: minimum size is 8
>>> resize(short_array, 32)
>>> sizeof(short_array)
32
>>> sizeof(type(short_array))
8
>>>
This is nice and fine, but how would one access the additional elements contained in this array? Since the type still only knows about 4 elements, we get errors accessing other elements:
>>> short_array[:]
[0, 0, 0, 0]
>>> short_array[7]
Traceback (most recent call last):
...
IndexError: invalid index
>>>
Another way to use variable-sized data types with
ctypes
is to use the dynamic nature of Python, and (re-)define the data type after the required size is already known, on a case by case basis.
As explained in the previous section, foreign functions can be accessed as attributes of loaded shared libraries. The function objects created in this way by default accept any number of arguments, accept any ctypes data instances as arguments, and return the default result type specified by the library loader. They are instances of a private class:
ctypes.
_FuncPtr
¶
Base class for C callable foreign functions.
Instances of foreign functions are also C compatible data types; they represent C function pointers.
This behavior can be customized by assigning to special attributes of the foreign function object.
restype
¶
Assign a ctypes type to specify the result type of the foreign function. Use
None
for
void
, a function not returning anything.
It is possible to assign a callable Python object that is not a ctypes type, in this case the function is assumed to return a C
int
, and the callable will be called with this integer, allowing further processing or error checking. Using this is deprecated, for more flexible post processing or error checking use a ctypes data type as
restype
and assign a callable to the
errcheck
属性。
argtypes
¶
Assign a tuple of ctypes types to specify the argument types that the function accepts. Functions using the
stdcall
calling convention can only be called with the same number of arguments as the length of this tuple; functions using the C calling convention accept additional, unspecified arguments as well.
When a foreign function is called, each actual argument is passed to the
from_param()
class method of the items in the
argtypes
tuple, this method allows adapting the actual argument to an object that the foreign function accepts. For example, a
c_char_p
item in the
argtypes
tuple will convert a string passed as argument into a bytes object using ctypes conversion rules.
New: It is now possible to put items in argtypes which are not ctypes types, but each item must have a
from_param()
method which returns a value usable as argument (integer, string, ctypes instance). This allows defining adapters that can adapt custom objects as function parameters.
errcheck
¶
Assign a Python function or another callable to this attribute. The callable will be called with three or more arguments:
callable
(
result
,
func
,
arguments
)
result
is what the foreign function returns, as specified by the
restype
属性。
func is the foreign function object itself, this allows reusing the same callable object to check or post process the results of several functions.
arguments is a tuple containing the parameters originally passed to the function call, this allows specializing the behavior on the arguments used.
The object that this function returns will be returned from the foreign function call, but it can also check the result value and raise an exception if the foreign function call failed.
ctypes.
ArgumentError
¶
This exception is raised when a foreign function call cannot convert one of the passed arguments.
Foreign functions can also be created by instantiating function prototypes. Function prototypes are similar to function prototypes in C; they describe a function (return type, argument types, calling convention) without defining an implementation. The factory functions must be called with the desired result type and the argument types of the function, and can be used as decorator factories, and as such, be applied to functions through the
@wrapper
句法。见
回调函数
范例。
ctypes.
CFUNCTYPE
(
restype
,
*argtypes
,
use_errno=False
,
use_last_error=False
)
¶
The returned function prototype creates functions that use the standard C calling convention. The function will release the GIL during the call. If
use_errno
被设为 true,ctypes 私有拷贝的系统
errno
变量会被交换与真实
errno
值,在调用前后;
use_last_error
对 Windows 错误代码做相同处理。
ctypes.
WINFUNCTYPE
(
restype
,
*argtypes
,
use_errno=False
,
use_last_error=False
)
¶
仅 Windows:返回的函数原型,创建的函数使用
stdcall
调用约定,除 Windows CE 外,那里
WINFUNCTYPE()
如同
CFUNCTYPE()
。函数在调用期间会释放 GIL。
use_errno
and
use_last_error
的含义同上。
ctypes.
PYFUNCTYPE
(
restype
,
*argtypes
)
¶
返回的函数原型,创建使用Python 调用约定的函数。函数会 not 释放 GIL 在调用期间。
可以按不同方式实例化由这些工厂函数创建的函数原型,取决于调用中的参数类型及参数数量:
prototype( address )返回在指定地址的外来函数,地址必须为整数。
prototype( callable )创建 C 可调用函数 (回调函数) 从 Python callable .
prototype( func_spec [ , paramflags ] )Returns a foreign function exported by a shared library. func_spec must be a 2-tuple
(name_or_ordinal, library). The first item is the name of the exported function as string, or the ordinal of the exported function as small integer. The second item is the shared library instance.
prototype( vtbl_index , name [ , paramflags [ , iid ] ] )Returns a foreign function that will call a COM method. vtbl_index is the index into the virtual function table, a small non-negative integer. name is name of the COM method. iid is an optional pointer to the interface identifier which is used in extended error reporting.
COM methods use a special calling convention: They require a pointer to the COM interface as first argument, in addition to those parameters that are specified in the
argtypestuple.可选 paramflags parameter creates foreign function wrappers with much more functionality than the features described above.
paramflags must be a tuple of the same length as
argtypes.Each item in this tuple contains further information about a parameter, it must be a tuple containing one, two, or three items.
The first item is an integer containing a combination of direction flags for the parameter:
- 1
- Specifies an input parameter to the function.
- 2
- Output parameter. The foreign function fills in a value.
- 4
- Input parameter which defaults to the integer zero.
The optional second item is the parameter name as string. If this is specified, the foreign function can be called with named parameters.
The optional third item is the default value for this parameter.
此范例演示如何包裹 Windows
MessageBoxW
function so that it supports default parameters and named arguments. The C declaration from the windows header file is this:
WINUSERAPI int WINAPI
MessageBoxW(
HWND hWnd,
LPCWSTR lpText,
LPCWSTR lpCaption,
UINT uType);
这时被包裹采用
ctypes
:
>>> from ctypes import c_int, WINFUNCTYPE, windll
>>> from ctypes.wintypes import HWND, LPCWSTR, UINT
>>> prototype = WINFUNCTYPE(c_int, HWND, LPCWSTR, LPCWSTR, UINT)
>>> paramflags = (1, "hwnd", 0), (1, "text", "Hi"), (1, "caption", "Hello from ctypes"), (1, "flags", 0)
>>> MessageBox = prototype(("MessageBoxW", windll.user32), paramflags)
MessageBox
外来函数现在可以被调用,采用这些办法:
>>> MessageBox()
>>> MessageBox(text="Spam, spam, spam")
>>> MessageBox(flags=2, text="foo bar")
第 2 个范例演示输出参数。win32
GetWindowRect
function retrieves the dimensions of a specified window by copying them into
RECT
structure that the caller has to supply. Here is the C declaration:
WINUSERAPI BOOL WINAPI
GetWindowRect(
HWND hWnd,
LPRECT lpRect);
这时被包裹采用
ctypes
:
>>> from ctypes import POINTER, WINFUNCTYPE, windll, WinError
>>> from ctypes.wintypes import BOOL, HWND, RECT
>>> prototype = WINFUNCTYPE(BOOL, HWND, POINTER(RECT))
>>> paramflags = (1, "hwnd"), (2, "lprect")
>>> GetWindowRect = prototype(("GetWindowRect", windll.user32), paramflags)
>>>
Functions with output parameters will automatically return the output parameter value if there is a single one, or a tuple containing the output parameter values when there are more than one, so the GetWindowRect function now returns a RECT instance, when called.
Output parameters can be combined with the
errcheck
protocol to do further output processing and error checking. The win32
GetWindowRect
api function returns a
BOOL
to signal success or failure, so this function could do the error checking, and raises an exception when the api call failed:
>>> def errcheck(result, func, args):
... if not result:
... raise WinError()
... return args
...
>>> GetWindowRect.errcheck = errcheck
>>>
若
errcheck
function returns the argument tuple it receives unchanged,
ctypes
continues the normal processing it does on the output parameters. If you want to return a tuple of window coordinates instead of a
RECT
instance, you can retrieve the fields in the function and return them instead, the normal processing will no longer take place:
>>> def errcheck(result, func, args):
... if not result:
... raise WinError()
... rc = args[1]
... return rc.left, rc.top, rc.bottom, rc.right
...
>>> GetWindowRect.errcheck = errcheck
>>>
ctypes.
addressof
(
obj
)
¶
以整数形式返回内存缓冲的地址。 obj 必须是 ctypes 类型的实例。
ctypes.
alignment
(
obj_or_type
)
¶
返回 ctypes 类型的对齐要求。 obj_or_type 必须是 ctypes 类型或实例。
ctypes.
byref
(
obj
[
,
offset
]
)
¶
返回轻量指针,指向 obj , which must be an instance of a ctypes type. offset defaults to zero, and must be an integer that will be added to the internal pointer value.
byref(obj,
offset)
corresponds to this C code:
(((char *)&obj) + offset)
The returned object can only be used as a foreign function call parameter. It behaves similar to
pointer(obj)
, but the construction is a lot faster.
ctypes.
cast
(
obj
,
type
)
¶
This function is similar to the cast operator in C. It returns a new instance of type 其指向同一内存块如 obj . type 必须是指针类型,且 obj 必须是可以被解释为指针的对象。
ctypes.
create_string_buffer
(
init_or_size
,
size=None
)
¶
This function creates a mutable character buffer. The returned object is a ctypes array of
c_char
.
init_or_size must be an integer which specifies the size of the array, or a bytes object which will be used to initialize the array items.
If a bytes object is specified as first argument, the buffer is made one item larger than its length so that the last element in the array is a NUL termination character. An integer can be passed as second argument which allows specifying the size of the array if the length of the bytes should not be used.
ctypes.
create_unicode_buffer
(
init_or_size
,
size=None
)
¶
This function creates a mutable unicode character buffer. The returned object is a ctypes array of
c_wchar
.
init_or_size must be an integer which specifies the size of the array, or a string which will be used to initialize the array items.
If a string is specified as first argument, the buffer is made one item larger than the length of the string so that the last element in the array is a NUL termination character. An integer can be passed as second argument which allows specifying the size of the array if the length of the string should not be used.
ctypes.
DllCanUnloadNow
(
)
¶
Windows only: This function is a hook which allows implementing in-process COM servers with ctypes. It is called from the DllCanUnloadNow function that the _ctypes extension dll exports.
ctypes.
DllGetClassObject
(
)
¶
Windows only: This function is a hook which allows implementing in-process COM servers with ctypes. It is called from the DllGetClassObject function that the
_ctypes
extension dll exports.
ctypes.util.
find_library
(
name
)
¶
Try to find a library and return a pathname.
name
is the library name without any prefix like
lib
, suffix like
.so
,
.dylib
or version number (this is the form used for the posix linker option
-l
). If no library can be found, returns
None
.
确切功能从属系统。
ctypes.util.
find_msvcrt
(
)
¶
Windows only: return the filename of the VC runtime library used by Python, and by the extension modules. If the name of the library cannot be determined,
None
被返回。
If you need to free memory, for example, allocated by an extension module with a call to the
free(void
*)
, it is important that you use the function in the same library that allocated the memory.
ctypes.
FormatError
(
[
code
]
)
¶
Windows only: Returns a textual description of the error code code . If no error code is specified, the last error code is used by calling the Windows api function GetLastError.
ctypes.
GetLastError
(
)
¶
Windows only: Returns the last error code set by Windows in the calling thread. This function calls the Windows GetLastError() function directly, it does not return the ctypes-private copy of the error code.
ctypes.
get_errno
(
)
¶
Returns the current value of the ctypes-private copy of the system
errno
variable in the calling thread.
ctypes.
get_last_error
(
)
¶
Windows only: returns the current value of the ctypes-private copy of the system
LastError
variable in the calling thread.
ctypes.
memmove
(
dst
,
src
,
count
)
¶
Same as the standard C memmove library function: copies count 字节来自 src to dst . dst and src must be integers or ctypes instances that can be converted to pointers.
ctypes.
memset
(
dst
,
c
,
count
)
¶
Same as the standard C memset library function: fills the memory block at address dst with count bytes of value c . dst must be an integer specifying an address, or a ctypes instance.
ctypes.
POINTER
(
type
)
¶
This factory function creates and returns a new ctypes pointer type. Pointer types are cached and reused internally, so calling this function repeatedly is cheap. type 必须是 ctypes 类型。
ctypes.
pointer
(
obj
)
¶
This function creates a new pointer instance, pointing to
obj
. The returned object is of the type
POINTER(type(obj))
.
Note: If you just want to pass a pointer to an object to a foreign function call, you should use
byref(obj)
which is much faster.
ctypes.
resize
(
obj
,
size
)
¶
This function resizes the internal memory buffer of
obj
, which must be an instance of a ctypes type. It is not possible to make the buffer smaller than the native size of the objects type, as given by
sizeof(type(obj))
, but it is possible to enlarge the buffer.
ctypes.
set_errno
(
value
)
¶
Set the current value of the ctypes-private copy of the system
errno
variable in the calling thread to
value
and return the previous value.
ctypes.
set_last_error
(
value
)
¶
Windows only: set the current value of the ctypes-private copy of the system
LastError
variable in the calling thread to
value
and return the previous value.
ctypes.
sizeof
(
obj_or_type
)
¶
Returns the size in bytes of a ctypes type or instance memory buffer. Does the same as the C
sizeof
operator.
ctypes.
string_at
(
address
,
size=-1
)
¶
This function returns the C string starting at memory address address as a bytes object. If size is specified, it is used as size, otherwise the string is assumed to be zero-terminated.
ctypes.
WinError
(
code=None
,
descr=None
)
¶
Windows only: this function is probably the worst-named thing in ctypes. It creates an instance of OSError. If
code
is not specified,
GetLastError
is called to determine the error code. If
descr
is not specified,
FormatError()
is called to get a textual description of the error.
3.3 版改变:
An instance of
WindowsError
used to be created.
ctypes.
wstring_at
(
address
,
size=-1
)
¶
This function returns the wide character string starting at memory address address as a string. If size is specified, it is used as the number of characters of the string, otherwise the string is assumed to be zero-terminated.
ctypes.
_CData
¶
This non-public class is the common base class of all ctypes data types. Among other things, all ctypes type instances contain a memory block that hold C compatible data; the address of the memory block is returned by the
addressof()
helper function. Another instance variable is exposed as
_objects
; this contains other Python objects that need to be kept alive in case the memory block contains pointers.
Common methods of ctypes data types, these are all class methods (to be exact, they are methods of the metaclass ):
from_buffer
(
source
[
,
offset
]
)
¶
This method returns a ctypes instance that shares the buffer of the
source
object. The
source
object must support the writeable buffer interface. The optional
offset
parameter specifies an offset into the source buffer in bytes; the default is zero. If the source buffer is not large enough a
ValueError
被引发。
from_buffer_copy
(
source
[
,
offset
]
)
¶
This method creates a ctypes instance, copying the buffer from the
source
object buffer which must be readable. The optional
offset
parameter specifies an offset into the source buffer in bytes; the default is zero. If the source buffer is not large enough a
ValueError
被引发。
from_address
(
address
)
¶
This method returns a ctypes type instance using the memory specified by address which must be an integer.
from_param
(
obj
)
¶
This method adapts
obj
to a ctypes type. It is called with the actual object used in a foreign function call when the type is present in the foreign function’s
argtypes
tuple; it must return an object that can be used as a function call parameter.
All ctypes data types have a default implementation of this classmethod that normally returns obj if that is an instance of the type. Some types accept other objects as well.
in_dll
(
library
,
name
)
¶
This method returns a ctypes type instance exported by a shared library. name is the name of the symbol that exports the data, library is the loaded shared library.
Common instance variables of ctypes data types:
_b_base_
¶
Sometimes ctypes data instances do not own the memory block they contain, instead they share part of the memory block of a base object. The
_b_base_
read-only member is the root ctypes object that owns the memory block.
_b_needsfree_
¶
This read-only variable is true when the ctypes data instance has allocated the memory block itself, false otherwise.
_objects
¶
This member is either
None
or a dictionary containing Python objects that need to be kept alive so that the memory block contents is kept valid. This object is only exposed for debugging; never modify the contents of this dictionary.
ctypes.
_SimpleCData
¶
This non-public class is the base class of all fundamental ctypes data types. It is mentioned here because it contains the common attributes of the fundamental ctypes data types.
_SimpleCData
是子类对于
_CData
, so it inherits their methods and attributes. ctypes data types that are not and do not contain pointers can now be pickled.
Instances have a single attribute:
value
¶
This attribute contains the actual value of the instance. For integer and pointer types, it is an integer, for character types, it is a single character bytes object or string, for character pointer types it is a Python bytes object or string.
当
value
attribute is retrieved from a ctypes instance, usually a new object is returned each time.
ctypes
does
not
implement original object return, always a new object is constructed. The same is true for all other ctypes object instances.
Fundamental data types, when returned as foreign function call results, or, for example, by retrieving structure field members or array items, are transparently converted to native Python types. In other words, if a foreign function has a
restype
of
c_char_p
, you will always receive a Python bytes object,
not
a
c_char_p
实例。
Subclasses of fundamental data types do
not
inherit this behavior. So, if a foreign functions
restype
是子类对于
c_void_p
, you will receive an instance of this subclass from the function call. Of course, you can get the value of the pointer by accessing the
value
属性。
这些是基础 ctypes 数据类型:
ctypes.
c_byte
¶
表示 C
signed
char
datatype, and interprets the value as small integer. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_char
¶
表示 C
char
datatype, and interprets the value as a single character. The constructor accepts an optional string initializer, the length of the string must be exactly one character.
ctypes.
c_char_p
¶
表示 C
char
*
datatype when it points to a zero-terminated string. For a general character pointer that may also point to binary data,
POINTER(c_char)
must be used. The constructor accepts an integer address, or a bytes object.
ctypes.
c_double
¶
表示 C
double
数据类型。构造函数接受可选浮点初始化程序。
ctypes.
c_longdouble
¶
表示 C
long
double
datatype. The constructor accepts an optional float initializer. On platforms where
sizeof(long
double)
==
sizeof(double)
,它是别名
c_double
.
ctypes.
c_float
¶
表示 C
float
数据类型。构造函数接受可选浮点初始化程序。
ctypes.
c_int
¶
表示 C
signed
int
datatype. The constructor accepts an optional integer initializer; no overflow checking is done. On platforms where
sizeof(int)
==
sizeof(long)
,它是别名
c_long
.
ctypes.
c_int64
¶
表示 C 64-bit
signed
int
数据类型。通常别名为
c_longlong
.
ctypes.
c_long
¶
表示 C
signed
long
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_longlong
¶
表示 C
signed
long
long
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_short
¶
表示 C
signed
short
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_size_t
¶
表示 C
size_t
数据类型。
ctypes.
c_ssize_t
¶
表示 C
ssize_t
数据类型。
3.2 版新增。
ctypes.
c_ubyte
¶
表示 C
unsigned
char
datatype, it interprets the value as small integer. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_uint
¶
表示 C
unsigned
int
datatype. The constructor accepts an optional integer initializer; no overflow checking is done. On platforms where
sizeof(int)
==
sizeof(long)
it is an alias for
c_ulong
.
ctypes.
c_uint64
¶
表示 C 64-bit
unsigned
int
数据类型。通常别名为
c_ulonglong
.
ctypes.
c_ulong
¶
表示 C
unsigned
long
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_ulonglong
¶
表示 C
unsigned
long
long
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_ushort
¶
表示 C
unsigned
short
datatype. The constructor accepts an optional integer initializer; no overflow checking is done.
ctypes.
c_void_p
¶
表示 C
void
*
type. The value is represented as integer. The constructor accepts an optional integer initializer.
ctypes.
c_wchar
¶
表示 C
wchar_t
datatype, and interprets the value as a single character unicode string. The constructor accepts an optional string initializer, the length of the string must be exactly one character.
ctypes.
c_wchar_p
¶
表示 C
wchar_t
*
datatype, which must be a pointer to a zero-terminated wide character string. The constructor accepts an integer address, or a string.
ctypes.
c_bool
¶
Represent the C
bool
datatype (more accurately,
_Bool
from C99). Its value can be
True
or
False
, and the constructor accepts any object that has a truth value.
ctypes.
HRESULT
¶
Windows only: Represents a
HRESULT
value, which contains success or error information for a function or method call.
ctypes.
py_object
¶
表示 C
PyObject
*
datatype. Calling this without an argument creates a
NULL
PyObject
*
pointer.
ctypes.wintypes
module provides quite some other Windows specific data types, for example
HWND
,
WPARAM
,或
DWORD
. Some useful structures like
MSG
or
RECT
are also defined.
ctypes.
Union
(
*args
,
**kw
)
¶
采用本机字节序用于 Union 的抽象基类。
ctypes.
BigEndianStructure
(
*args
,
**kw
)
¶
用于 Structure 的抽象基类,采用 big endian 字节序。
ctypes.
LittleEndianStructure
(
*args
,
**kw
)
¶
用于 Structure 的抽象基类,采用 little endian 字节序。
Structures with non-native byte order cannot contain pointer type fields, or any other data types containing pointer type fields.
ctypes.
Structure
(
*args
,
**kw
)
¶
用于 Structure 的抽象基类,采用 native 字节序。
Concrete structure and union types must be created by subclassing one of these types, and at least define a
_fields_
class variable.
ctypes
will create
descriptor
s which allow reading and writing the fields by direct attribute accesses. These are the
_fields_
¶
A sequence defining the structure fields. The items must be 2-tuples or 3-tuples. The first item is the name of the field, the second item specifies the type of the field; it can be any ctypes data type.
For integer type fields like
c_int
, a third optional item can be given. It must be a small positive integer defining the bit width of the field.
Field names must be unique within one structure or union. This is not checked, only one field can be accessed when names are repeated.
It is possible to define the
_fields_
类变量
after
the class statement that defines the Structure subclass, this allows creating data types that directly or indirectly reference themselves:
class List(Structure):
pass
List._fields_ = [("pnext", POINTER(List)),
...
]
_fields_
class variable must, however, be defined before the type is first used (an instance is created,
sizeof()
is called on it, and so on). Later assignments to the
_fields_
class variable will raise an AttributeError.
It is possible to defined sub-subclasses of structure types, they inherit the fields of the base class plus the
_fields_
defined in the sub-subclass, if any.
_pack_
¶
An optional small integer that allows overriding the alignment of structure fields in the instance.
_pack_
must already be defined when
_fields_
is assigned, otherwise it will have no effect.
_anonymous_
¶
An optional sequence that lists the names of unnamed (anonymous) fields.
_anonymous_
must be already defined when
_fields_
is assigned, otherwise it will have no effect.
The fields listed in this variable must be structure or union type fields.
ctypes
will create descriptors in the structure type that allows accessing the nested fields directly, without the need to create the structure or union field.
Here is an example type (Windows):
class _U(Union):
_fields_ = [("lptdesc", POINTER(TYPEDESC)),
("lpadesc", POINTER(ARRAYDESC)),
("hreftype", HREFTYPE)]
class TYPEDESC(Structure):
_anonymous_ = ("u",)
_fields_ = [("u", _U),
("vt", VARTYPE)]
TYPEDESC
structure describes a COM data type, the
vt
field specifies which one of the union fields is valid. Since the
u
field is defined as anonymous field, it is now possible to access the members directly off the TYPEDESC instance.
td.lptdesc
and
td.u.lptdesc
are equivalent, but the former is faster since it does not need to create a temporary union instance:
td = TYPEDESC()
td.vt = VT_PTR
td.lptdesc = POINTER(some_type)
td.u.lptdesc = POINTER(some_type)
It is possible to defined sub-subclasses of structures, they inherit the fields of the base class. If the subclass definition has a separate
_fields_
variable, the fields specified in this are appended to the fields of the base class.
Structure and union constructors accept both positional and keyword arguments. Positional arguments are used to initialize member fields in the same order as they are appear in
_fields_
. Keyword arguments in the constructor are interpreted as attribute assignments, so they will initialize
_fields_
with the same name, or create new attributes for names not present in
_fields_
.
ctypes.
Array
(
*args
)
¶
用于数组的抽象基类。
The recommended way to create concrete array types is by multiplying any
ctypes
data type with a positive integer. Alternatively, you can subclass this type and define
_length_
and
_type_
class variables. Array elements can be read and written using standard subscript and slice accesses; for slice reads, the resulting object is
not
itself an
Array
.
_length_
¶
A positive integer specifying the number of elements in the array. Out-of-range subscripts result in an
IndexError
. Will be returned by
len()
.
_type_
¶
Specifies the type of each element in the array.
Array subclass constructors accept positional arguments, used to initialize the elements in order.
ctypes.
_Pointer
¶
用于指针的私有,抽象基类。
Concrete pointer types are created by calling
POINTER()
with the type that will be pointed to; this is done automatically by
pointer()
.
If a pointer points to an array, its elements can be read and written using standard subscript and slice accesses. Pointer objects have no size, so
len()
会引发
TypeError
. Negative subscripts will read from the memory
before
the pointer (as in C), and out-of-range subscripts will probably crash with an access violation (if you’re lucky).
_type_
¶
指定指向的类型。
contents
¶
Returns the object to which to pointer points. Assigning to this attribute changes the pointer to point to the assigned object.
ctypes
— 用于 Python 的外来函数库