"ctypes" --- Uma biblioteca de funções externas para Python
***********************************************************

**Código-fonte:** Lib/ctypes

======================================================================

"ctypes" é uma biblioteca de funções externas para Python. Ela fornece
tipos de dados compatíveis com C e permite funções de chamada em DLLs
ou bibliotecas compartilhadas. Ela pode ser usada para agrupar essas
bibliotecas em Python puro.


Tutorial ctypes
===============

Nota: Os exemplos de código neste tutorial usam "doctest" para
garantir que eles realmente funcionem. Como algumas amostras de código
se comportam de maneira diferente no Linux, Windows ou macOS, elas
contêm diretrizes de doctest nos comentários.

Nota: Alguns exemplos de código fazem referência ao tipo ctypes
"c_int". Em plataformas onde "sizeof(long) == sizeof(int)" é um
apelido para "c_long". Então, você não deve ficar confuso se "c_long"
for impresso se você esperaria "c_int" --- eles são, na verdade, o
mesmo tipo.


Carregando bibliotecas de links dinâmicos
-----------------------------------------

"ctypes" exporta o *cdll* e, no Windows, os objetos *windll* e
*oledll* para carregar bibliotecas de vínculo dinâmico.

Você carrega bibliotecas acessando-as como atributos desses objetos.
*cdll* carrega bibliotecas que exportam funções usando a convenção de
chamada padrão "cdecl", enquanto bibliotecas *windll* chamam funções
usando a convenção de chamada "stdcall". *oledll* também usa a
convenção de chamada "stdcall" e assume que as funções retornam um
código de erro do Windows "HRESULT". O código de erro é usado para
levantar automaticamente uma exceção "OSError" quando a chamada da
função falha.

Alterado na versão 3.3: Erros do Windows costumavam levantar
"WindowsError", que agora é um apelido de "OSError".

Veja alguns exemplos para Windows. Note que "msvcrt" é a biblioteca C
padrão da MS que contém a maioria das funções C padrão e usa a
convenção de chamada "cdecl":

   >>> from ctypes import *
   >>> print(windll.kernel32)
   <WinDLL 'kernel32', handle ... at ...>
   >>> print(cdll.msvcrt)
   <CDLL 'msvcrt', handle ... at ...>
   >>> libc = cdll.msvcrt
   >>>

O Windows acrescenta automaticamente o sufixo de arquivo ".dll" usual.

Nota:

  Acessar a biblioteca padrão C por meio de "cdll.msvcrt" usará uma
  versão desatualizada da biblioteca que pode ser incompatível com a
  que está sendo usada pelo Python. Onde possível, use a
  funcionalidade nativa do Python ou então importe e use o módulo
  "msvcrt".

No Linux, é necessário especificar o nome do arquivo *incluindo* a
extensão para carregar uma biblioteca, então o acesso de atributo não
pode ser usado para carregar bibliotecas. O método "LoadLibrary()" dos
carregadores de dll deve ser usado, ou você deve carregar a biblioteca
criando uma instância de CDLL chamando o construtor:

   >>> cdll.LoadLibrary("libc.so.6")
   <CDLL 'libc.so.6', handle ... at ...>
   >>> libc = CDLL("libc.so.6")
   >>> libc
   <CDLL 'libc.so.6', handle ... at ...>
   >>>


Acessando funções de dlls carregadas
------------------------------------

Funções são acessadas como atributos de objetos dll:

   >>> 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
   >>>

Observe que DLLs de sistema do Win32, como "kernel32" e "user32",
frequentemente exportam versões ANSI e UNICODE de uma função. A versão
UNICODE é exportada com um "W" anexado ao nome, enquanto a versão ANSI
é exportada com um "A" anexado ao nome. A função "GetModuleHandle" do
Win32, que retorna um *identificador de módulo* para um determinado
nome de módulo, tem o seguinte protótipo em C, e uma macro é usada
para expor um deles como "GetModuleHandle", dependendo se UNICODE está
definido ou não:

   /* versão ANSI */
   HMODULE GetModuleHandleA(LPCSTR lpModuleName);
   /* versão UNICODE */
   HMODULE GetModuleHandleW(LPCWSTR lpModuleName);

*windll* não tenta selecionar um deles magicamente, você deve acessar
a versão necessária especificando "GetModuleHandleA" ou
"GetModuleHandleW" explicitamente e então chamá-lo com objetos bytes
ou string, respectivamente.

Às vezes, DLLs exportam funções com nomes que não são identificadores
Python válidos, como ""??2@YAPAXI@Z"". Nesse caso, você precisa usar
"getattr()" para recuperar a função:

   >>> getattr(cdll.msvcrt, "??2@YAPAXI@Z")
   <_FuncPtr object at 0x...>
   >>>

No Windows, algumas dlls exportam funções não por nome, mas por
ordinal. Essas funções podem ser acessadas indexando o objeto dll com
o número ordinal:

   >>> 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
   >>>


Chamando funções
----------------

Você pode chamar essas funções como qualquer outro chamável do Python.
Este exemplo usa a função "rand()", que não aceita argumentos e
retorna um inteiro pseudoaleatório:

   >>> print(libc.rand())
   1804289383

No Windows, você pode chamar a função "GetModuleHandleA()", que
retorna um identificador de módulo win32 (passando "None" como único
argumento para chamá-lo com um ponteiro "NULL"):

   >>> print(hex(windll.kernel32.GetModuleHandleA(None)))
   0x1d000000
   >>>

"ValueError" é gerado quando você chama uma função "stdcall" com a
convenção de chamada "cdecl", ou vice-versa:

   >>> 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)
   >>>

Para descobrir a convenção de chamada correta, você precisa consultar
o arquivo de cabeçalho C ou a documentação da função que deseja
chamar.

No Windows, "ctypes" usa o tratamento de exceções estruturado do win32
para evitar travamentos devido a falhas gerais de proteção quando
funções são chamadas com valores de argumentos inválidos:

   >>> windll.kernel32.GetModuleHandleA(32)
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   OSError: exception: access violation reading 0x00000020
   >>>

No entanto, existem maneiras suficientes de travar o Python com
"ctypes", então você deve ter cuidado de qualquer maneira. O módulo
"faulthandler" pode ser útil na depuração de travamentos (por exemplo,
de falhas de segmentação produzidas por chamadas errôneas da
biblioteca C).

"None", inteiros, objetos bytes e strings (unicode) são os únicos
objetos nativos do Python que podem ser usados diretamente como
parâmetros nessas chamadas de função. "None" é passado como um
ponteiro "NULL" em C, objetos bytes e strings são passados como
ponteiros para o bloco de memória que contém seus dados (char* ou
wchar_t*). Inteiros em Python são passados como o tipo padrão da
plataforma em C int, e seu valor é mascarado para se encaixar no tipo
em C.

Antes de prosseguirmos com a chamada de funções com outros tipos de
parâmetros, precisamos aprender mais sobre os tipos de dados "ctypes".


Tipos de dados fundamentais
---------------------------

"ctypes" define uma série de tipos de dados primitivos compatíveis com
C:

+------------------------+--------------------------------------------+------------------------------+
| Tipo ctypes            | Tipo em C                                  | Tipo em Python               |
|========================|============================================|==============================|
| "c_bool"               | _Bool                                      | bool (1)                     |
+------------------------+--------------------------------------------+------------------------------+
| "c_char"               | char                                       | objeto bytes de 1 caractere  |
+------------------------+--------------------------------------------+------------------------------+
| "c_wchar"              | "wchar_t"                                  | string de 1 caractere        |
+------------------------+--------------------------------------------+------------------------------+
| "c_byte"               | char                                       | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_ubyte"              | unsigned char                              | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_short"              | short                                      | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_ushort"             | unsigned short                             | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_int"                | int                                        | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_int8"               | "int8_t"                                   | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_int16"              | "int16_t"                                  | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_int32"              | "int32_t"                                  | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_int64"              | "int64_t"                                  | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_uint"               | unsigned int                               | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_uint8"              | "uint8_t"                                  | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_uint16"             | "uint16_t"                                 | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_uint32"             | "uint32_t"                                 | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_uint64"             | "uint64_t"                                 | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_long"               | long                                       | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_ulong"              | unsigned long                              | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_longlong"           | __int64 ou long long                       | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_ulonglong"          | unsigned __int64 ou unsigned long long     | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_size_t"             | "size_t"                                   | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_ssize_t"            | "ssize_t" ou Py_ssize_t                    | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_time_t"             | "time_t"                                   | int                          |
+------------------------+--------------------------------------------+------------------------------+
| "c_float"              | float                                      | float                        |
+------------------------+--------------------------------------------+------------------------------+
| "c_double"             | double                                     | float                        |
+------------------------+--------------------------------------------+------------------------------+
| "c_longdouble"         | long double                                | float                        |
+------------------------+--------------------------------------------+------------------------------+
| "c_char_p"             | char* (finalizado com NUL)                 | objeto bytes ou "None"       |
+------------------------+--------------------------------------------+------------------------------+
| "c_wchar_p"            | wchar_t* (finalizado com NUL)              | String ou "None"             |
+------------------------+--------------------------------------------+------------------------------+
| "c_void_p"             | void*                                      | int ou "None"                |
+------------------------+--------------------------------------------+------------------------------+

1. O construtor aceita qualquer objeto com um valor verdade.

Além disso, se a aritmética complexa compatível com IEC 60559 (Anexo
G) for suportada em C e "libffi", os seguintes tipos complexos estarão
disponíveis:

+------------------------------------+-----------------------------------+-------------------+
| Tipo ctypes                        | Tipo em C                         | Tipo em Python    |
|====================================|===================================|===================|
| "c_float_complex"                  | float complex                     | complexo          |
+------------------------------------+-----------------------------------+-------------------+
| "c_double_complex"                 | double complex                    | complexo          |
+------------------------------------+-----------------------------------+-------------------+
| "c_longdouble_complex"             | long double complex               | complexo          |
+------------------------------------+-----------------------------------+-------------------+

Todos esses tipos podem ser criados chamando-os com um inicializador
opcional do tipo e valor corretos:

   >>> c_int()
   c_long(0)
   >>> c_wchar_p("Olá, mundo")
   c_wchar_p(139878537078816)
   >>> c_ushort(-3)
   c_ushort(65533)
   >>>

Como esses tipos são mutáveis, seus valores também podem ser alterados
posteriormente:

   >>> i = c_int(42)
   >>> print(i)
   c_long(42)
   >>> print(i.value)
   42
   >>> i.value = -99
   >>> print(i.value)
   -99
   >>>

Atribuir um novo valor a instâncias dos tipos de ponteiro "c_char_p",
"c_wchar_p" e "c_void_p" altera o *local de memória* para o qual eles
apontam, *não o conteúdo* do bloco de memória (claro que não, porque
objetos string do Python são imutáveis):

   >>> s = "Olá, mundo"
   >>> c_s = c_wchar_p(s)
   >>> print(c_s)
   c_wchar_p(139878542513936)
   >>> print(c_s.value)
   Olá, mundo
   >>> c_s.value = "Opa, beleza?"
   >>> print(c_s)              # o local da memória foi alterado
   c_wchar_p(139878536944240)
   >>> print(c_s.value)
   Opa, beleza?
   >>> print(s)                # primeiro objeto está inalterado
   Olá, mundo
   >>>

No entanto, tome cuidado para não passá-los para funções que esperam
ponteiros para memória mutável. Se precisar de blocos de memória
mutáveis, o ctypes possui uma função "create_string_buffer()" que os
cria de várias maneiras. O conteúdo do bloco de memória atual pode ser
acessado (ou alterado) com a propriedade "raw"; se quiser acessá-lo
como uma string terminada em NUL, use a propriedade "value":

   >>> from ctypes import *
   >>> p = create_string_buffer(3)            # cria um buffer de 3 bytes, inicializado para NUL bytes
   >>> print(sizeof(p), repr(p.raw))
   3 b'\x00\x00\x00'
   >>> p = create_string_buffer(b"Opa")       # cria um buffer contendo uma string terminando com NUL
   >>> print(sizeof(p), repr(p.raw))
   4 b'Opa\x00'
   >>> print(repr(p.value))
   b'Opa'
   >>> p = create_string_buffer(b"Oi", 10)    # cria um buffer de 10 bytes
   >>> print(sizeof(p), repr(p.raw))
   10 b'Oi\x00\x00\x00\x00\x00\x00\x00\x00'
   >>> p.value = b"Oi"
   >>> print(sizeof(p), repr(p.raw))
   10 b'Oi\x00\x00\x00\x00\x00\x00\x00\x00'
   >>>

A função "create_string_buffer()" substitui a antiga função
"c_buffer()" (que ainda está disponível como um apelido). Para criar
um bloco de memória mutável contendo caracteres Unicode do tipo C
"wchar_t", use a função "create_unicode_buffer()".


Chamando funções, continuação
-----------------------------

Observe que printf imprime no canal de saída padrão real, *não* em
"sys.stdout", então esses exemplos só funcionarão no prompt do
console, não de dentro do *IDLE* ou *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>
   ctypes.ArgumentError: argument 2: TypeError: Don't know how to convert parameter 2
   >>>

As has been mentioned before, all Python types except integers,
strings, and bytes objects have to be wrapped in their corresponding
"ctypes" type, so that they can be converted to the required C data
type:

   >>> printf(b"An int %d, a double %f\n", 1234, c_double(3.14))
   An int 1234, a double 3.140000
   31
   >>>


Chamando funções variadas
-------------------------

On a lot of platforms calling variadic functions through ctypes is
exactly the same as calling functions with a fixed number of
parameters. On some platforms, and in particular ARM64 for Apple
Platforms, the calling convention for variadic functions is different
than that for regular functions.

On those platforms it is required to specify the "argtypes" attribute
for the regular, non-variadic, function arguments:

   libc.printf.argtypes = [ctypes.c_char_p]

Because specifying the attribute does not inhibit portability it is
advised to always specify "argtypes" for all variadic functions.


Calling functions with your own custom data types
-------------------------------------------------

You can also customize "ctypes" argument conversion to allow instances
of your own classes be used as function arguments. "ctypes" looks for
an "_as_parameter_" attribute and uses this as the function argument.
The attribute must be an integer, string, bytes, a "ctypes" instance,
or an object with an "_as_parameter_" attribute:

   >>> 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
   >>>

If you don't want to store the instance's data in the "_as_parameter_"
instance variable, you could define a "property" which makes the
attribute available on request.


Specifying the required argument types (function prototypes)
------------------------------------------------------------

It is possible to specify the required argument types of functions
exported from DLLs by setting the "argtypes" attribute.

"argtypes" must be a sequence of C data types (the "printf()" function
is probably not a good example here, because it takes a variable
number and different types of parameters depending on the format
string, on the other hand this is quite handy to experiment with this
feature):

   >>> 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
   >>>

Specifying a format protects against incompatible argument types (just
as a prototype for a C function), and tries to convert the arguments
to valid types:

   >>> printf(b"%d %d %d", 1, 2, 3)
   Traceback (most recent call last):
     File "<stdin>", line 1, in <module>
   ctypes.ArgumentError: argument 2: TypeError: 'int' object cannot be interpreted as ctypes.c_char_p
   >>> 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_" attribute.


Tipos de Retorno
----------------

By default functions are assumed to return the C int type.  Other
return types can be specified by setting the "restype" attribute of
the function object.

The C prototype of "time()" is "time_t time(time_t *)". Because
"time_t" might be of a different type than the default return type
int, you should specify the "restype" attribute:

   >>> libc.time.restype = c_time_t

The argument types can be specified using "argtypes":

   >>> libc.time.argtypes = (POINTER(c_time_t),)

To call the function with a "NULL" pointer as first argument, use
"None":

   >>> print(libc.time(None))
   1150640792

Here is a more advanced example, it uses the "strchr()" function,
which expects a string pointer and a char, and returns a pointer to a
string:

   >>> 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")
   b'def'
   >>> strchr(b"abcdef", b"def")
   Traceback (most recent call last):
   ctypes.ArgumentError: argument 2: TypeError: one character bytes, bytearray or integer expected
   >>> print(strchr(b"abcdef", b"x"))
   None
   >>> strchr(b"abcdef", b"d")
   b'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 *returns* 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.


Passando ponteiros (ou: passando parâmetros por referência)
-----------------------------------------------------------

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
*passing parameters by reference*.

"ctypes" exports the "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'
   >>>


Estruturas e uniões
-------------------

Structures and unions must derive from the "Structure" and "Union"
base classes which are defined in the "ctypes" module. Each subclass
must define a "_fields_" attribute.  "_fields_" must be a list of
*2-tuples*, containing a *field name* and a *field type*.

The field type must be a "ctypes" type like "c_int", or any other
derived "ctypes" type: structure, union, array, pointer.

Here is a simple example of a POINT structure, which contains two
integers named *x* and *y*, and also shows how to initialize a
structure in the constructor:

   >>> 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>
   TypeError: 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))

Field *descriptor*s can be retrieved from the *class*, they are useful
for debugging because they can provide useful information. See
"CField":

   >>> POINT.x
   <ctypes.CField 'x' type=c_int, ofs=0, size=4>
   >>> POINT.y
   <ctypes.CField 'y' type=c_int, ofs=4, size=4>
   >>>

Aviso:

  "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.


Structure/union layout, alignment and byte order
------------------------------------------------

By default, Structure and Union fields are laid out in the same way
the C compiler does it.  It is possible to override this behavior
entirely by specifying a "_layout_" class attribute in the subclass
definition; see the attribute documentation for details.

It is possible to specify the maximum alignment for the fields and/or
for the structure itself by setting the class attributes "_pack_"
and/or "_align_", respectively. See the attribute documentation for
details.

"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", and
"LittleEndianUnion" base classes.  These classes cannot contain
pointer fields.


Bit fields in structures and unions
-----------------------------------

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)
   <ctypes.CField 'first_16' type=c_int, ofs=0, bit_size=16, bit_offset=0>
   >>> print(Int.second_16)
   <ctypes.CField 'second_16' type=c_int, ofs=0, bit_size=16, bit_offset=16>

It is important to note that bit field allocation and layout in memory
are not defined as a C standard; their implementation is compiler-
specific. By default, Python will attempt to match the behavior of a
"native" compiler for the current platform. See the "_layout_"
attribute for details on the default behavior and how to change it.


Arrays
------

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
   >>>


Ponteiros
---------

Pointer instances are created by calling the "pointer()" function on a
"ctypes" type:

   >>> 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)
   >>>

Note that "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
   >>>


Thread safety without the GIL
-----------------------------

From Python 3.13 onward, the *GIL* can be disabled on *free threaded*
builds. In ctypes, reads and writes to a single object concurrently is
safe, but not across multiple objects:

      >>> number = c_int(42)
      >>> pointer_a = pointer(number)
      >>> pointer_b = pointer(number)

In the above, it's only safe for one object to read and write to the
address at once if the GIL is disabled. So, "pointer_a" can be shared
and written to across multiple threads, but only if "pointer_b" is not
also attempting to do the same. If this is an issue, consider using a
"threading.Lock" to synchronize access to memory:

      >>> import threading
      >>> lock = threading.Lock()
      >>> # Thread 1
      >>> with lock:
      ...    pointer_a.contents = 24
      >>> # Thread 2
      >>> with lock:
      ...    pointer_b.contents = 42


Conversão de Tipos
------------------

Usually, ctypes does strict type checking.  This means, if you have
"POINTER(c_int)" in the "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" provides a "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.

The "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
   >>>


Tipos Incompletos
-----------------

*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))]
   >>>

Let's 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 = b"foo"
   >>> c2 = cell()
   >>> c2.name = b"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
   >>>


Funções Callbacks
-----------------

"ctypes" allows creating C callable function pointers from Python
callables. These are sometimes called *callback functions*.

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.

The "CFUNCTYPE()" factory function creates types for callback
functions using the "cdecl" calling convention. On Windows, the
"WINFUNCTYPE()" factory function creates types for callback functions
using the "stdcall" calling convention.

Both of these factory functions are called with the result type as
first argument, and the callback functions expected argument types as
the remaining arguments.

I will present an example here which uses the standard C library's
"qsort()" function, that is used to sort items with the help of a
callback function.  "qsort()" will be used to sort an array of
integers:

   >>> 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.

So our callback function receives pointers to integers, and must
return an integer. First we create the "type" for the callback
function:

   >>> CMPFUNC = CFUNCTYPE(c_int, POINTER(c_int), POINTER(c_int))
   >>>

To get started, here is a simple callback that shows the values it
gets passed:

   >>> def py_cmp_func(a, b):
   ...     print("py_cmp_func", a[0], b[0])
   ...     return 0
   ...
   >>> cmp_func = CMPFUNC(py_cmp_func)
   >>>

O resultado:

   >>> 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
   >>>

Now we can actually compare the two items and return a useful result:

   >>> 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
   >>>

As we can easily check, our array is sorted now:

   >>> for i in ia: print(i, end=" ")
   ...
   1 5 7 33 99
   >>>

The function factories can be used as decorator factories, so we may
as well write:

   >>> @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
   >>>

Nota:

  Make sure you keep references to "CFUNCTYPE()" objects as long as
  they are used from C code. "ctypes" doesn't, and if you don't, they
  may be garbage collected, crashing your program when a callback is
  made.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* survive
  across different callbacks, even when those calls are made from the
  same C thread.


Accessing values exported from dlls
-----------------------------------

Some shared libraries not only export functions, they also export
variables. An example in the Python library itself is the
"Py_Version", Python runtime version number encoded in a single
constant integer.

"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:

   >>> version = ctypes.c_int.in_dll(ctypes.pythonapi, "Py_Version")
   >>> print(hex(version.value))
   0x30c00a0

An extended example which also demonstrates the use of pointers
accesses the "PyImport_FrozenModules" pointer exported by Python.

Quoting the docs for that value:

   Este ponteiro é inicializado para apontar para um vetor de
   registros de "_frozen", terminado por um cujos membros são todos
   "NULL" ou zero. Quando um módulo congelado é importado, ele é
   pesquisado nesta tabela. O código de terceiros pode fazer truques
   com isso para fornecer uma coleção criada dinamicamente de módulos
   congelados.

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),
   ...                 ("get_code", POINTER(c_ubyte)),  # Function pointer
   ...                ]
   ...
   >>>

We have defined the "_frozen" data type, so we can get the pointer to
the table:

   >>> FrozenTable = POINTER(struct_frozen)
   >>> table = FrozenTable.in_dll(pythonapi, "_PyImport_FrozenBootstrap")
   >>>

Since "table" is a "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
   zipimport 12345
   >>>

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__" for example.


Surprises
---------

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
   >>>

Note that "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 differently from what one would expect
is this:

   >>> s = c_char_p()
   >>> s.value = b"abc def ghi"
   >>> s.value
   b'abc def ghi'
   >>> s.value is s.value
   False
   >>>

Nota:

  Objects instantiated from "c_char_p" can only have their value set
  to bytes or integers.

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!


Variable-sized data types
-------------------------

"ctypes" provides some support for variable-sized arrays and
structures.

The "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.


Referência ctypes
=================


Finding shared libraries
------------------------

When programming in a compiled language, shared libraries are accessed
when compiling/linking a program, and when the program is run.

The purpose of the "find_library()" function is to locate a library in
a way similar to what the compiler or runtime loader does (on
platforms with several versions of a shared library the most recent
should be loaded), while the ctypes library loaders act like when a
program is run, and call the runtime loader directly.

The "ctypes.util" module provides a function which can help to
determine the library to load.

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".

The exact functionality is system dependent.

On Linux, "find_library()" tries to run external programs
("/sbin/ldconfig", "gcc", "objdump" and "ld") to find the library
file. It returns the filename of the library file.

Alterado na versão 3.6: On Linux, the value of the environment
variable "LD_LIBRARY_PATH" is used when searching for libraries, if a
library cannot be found by any other means.

Veja alguns exemplos:

   >>> from ctypes.util import find_library
   >>> find_library("m")
   'libm.so.6'
   >>> find_library("c")
   'libc.so.6'
   >>> find_library("bz2")
   'libbz2.so.1.0'
   >>>

On macOS and Android, "find_library()" uses the system's standard
naming schemes and paths to locate the library, and returns a full
pathname if successful:

   >>> from ctypes.util import find_library
   >>> find_library("c")
   '/usr/lib/libc.dylib'
   >>> find_library("m")
   '/usr/lib/libm.dylib'
   >>> find_library("bz2")
   '/usr/lib/libbz2.dylib'
   >>> find_library("AGL")
   '/System/Library/Frameworks/AGL.framework/AGL'
   >>>

On Windows, "find_library()" searches along the system search path,
and returns the full pathname, but since there is no predefined naming
scheme a call like "find_library("c")" will fail and return "None".

If wrapping a shared library with "ctypes", it *may* be better to
determine the shared library name at development time, and hardcode
that into the wrapper module instead of using "find_library()" to
locate the library at runtime.


Listing loaded shared libraries
-------------------------------

When writing code that relies on code loaded from shared libraries, it
can be useful to know which shared libraries have already been loaded
into the current process.

The "ctypes.util" module provides the "dllist()" function, which calls
the different APIs provided by the various platforms to help determine
which shared libraries have already been loaded into the current
process.

The exact output of this function will be system dependent. On most
platforms, the first entry of this list represents the current process
itself, which may be an empty string. For example, on glibc-based
Linux, the return may look like:

   >>> from ctypes.util import dllist
   >>> dllist()
   ['', 'linux-vdso.so.1', '/lib/x86_64-linux-gnu/libm.so.6', '/lib/x86_64-linux-gnu/libc.so.6', ... ]


Loading shared libraries
------------------------

There are several ways to load shared libraries into the Python
process.  One way is to instantiate one of the following classes:

class ctypes.CDLL(name, mode=DEFAULT_MODE, handle=None, use_errno=False, use_last_error=False, winmode=None)

   Instances of this class represent loaded shared libraries.
   Functions in these libraries use the standard C calling convention,
   and are assumed to return int.

   On Windows creating a "CDLL" instance may fail even if the DLL name
   exists. When a dependent DLL of the loaded DLL is not found, a
   "OSError" error is raised with the message *"[WinError 126] The
   specified module could not be found".* This error message does not
   contain the name of the missing DLL because the Windows API does
   not return this information making this error hard to diagnose. To
   resolve this error and determine which DLL is not found, you need
   to find the list of dependent DLLs and determine which one is not
   found using Windows debugging and tracing tools.

   Alterado na versão 3.12: The *name* parameter can now be a *path-
   like object*.

Ver também: Microsoft DUMPBIN tool -- A tool to find DLL dependents.

class ctypes.OleDLL(name, mode=DEFAULT_MODE, handle=None, use_errno=False, use_last_error=False, winmode=None)

   Instances of this class represent loaded shared libraries,
   functions in these libraries use the "stdcall" calling convention,
   and are assumed to return the windows specific "HRESULT" code.
   "HRESULT" values contain information specifying whether the
   function call failed or succeeded, together with additional error
   code.  If the return value signals a failure, an "OSError" is
   automatically raised.

   Disponibilidade: Windows

   Alterado na versão 3.3: "WindowsError" used to be raised, which is
   now an alias of "OSError".

   Alterado na versão 3.12: The *name* parameter can now be a *path-
   like object*.

class ctypes.WinDLL(name, mode=DEFAULT_MODE, handle=None, use_errno=False, use_last_error=False, winmode=None)

   Instances of this class represent loaded shared libraries,
   functions in these libraries use the "stdcall" calling convention,
   and are assumed to return int by default.

   Disponibilidade: Windows

   Alterado na versão 3.12: The *name* parameter can now be a *path-
   like object*.

The Python *global interpreter lock* is released before calling any
function exported by these libraries, and reacquired afterwards.

class ctypes.PyDLL(name, mode=DEFAULT_MODE, handle=None)

   Instances of this class behave like "CDLL" instances, except that
   the Python GIL is *not* released during the function call, and
   after the function execution the Python error flag is checked. If
   the error flag is set, a Python exception is raised.

   Thus, this is only useful to call Python C api functions directly.

   Alterado na versão 3.12: The *name* parameter can now be a *path-
   like object*.

All these classes can be instantiated by calling them with at least
one argument, the pathname of the shared library.  If you have an
existing handle to an already loaded shared library, it can be passed
as the "handle" named parameter, otherwise the underlying platform's
"dlopen()" or "LoadLibrary()" function is used to load the library
into the process, and to get a handle to it.

The *mode* parameter can be used to specify how the library is loaded.
For details, consult the *dlopen(3)* manpage.  On Windows, *mode* is
ignored.  On posix systems, RTLD_NOW is always added, and is not
configurable.

The *use_errno* parameter, when set to true, enables a ctypes
mechanism that allows accessing the system "errno" error number in a
safe way. "ctypes" maintains a thread-local copy of the system's
"errno" variable; if you call foreign functions created with
"use_errno=True" then the "errno" value before the function call is
swapped with the ctypes private copy, the same happens immediately
after the function call.

The function "ctypes.get_errno()" returns the value of the ctypes
private copy, and the function "ctypes.set_errno()" changes the ctypes
private copy to a new value and returns the former value.

The *use_last_error* parameter, when set to true, enables the same
mechanism for the Windows error code which is managed by the
"GetLastError()" and "SetLastError()" Windows API functions;
"ctypes.get_last_error()" and "ctypes.set_last_error()" are used to
request and change the ctypes private copy of the windows error code.

The *winmode* parameter is used on Windows to specify how the library
is loaded (since *mode* is ignored). It takes any value that is valid
for the Win32 API "LoadLibraryEx" flags parameter. When omitted, the
default is to use the flags that result in the most secure DLL load,
which avoids issues such as DLL hijacking. Passing the full path to
the DLL is the safest way to ensure the correct library and
dependencies are loaded.

Alterado na versão 3.8: Added *winmode* parameter.

ctypes.RTLD_GLOBAL

   Flag to use as *mode* parameter.  On platforms where this flag is
   not available, it is defined as the integer zero.

ctypes.RTLD_LOCAL

   Flag to use as *mode* parameter.  On platforms where this is not
   available, it is the same as *RTLD_GLOBAL*.

ctypes.DEFAULT_MODE

   The default mode which is used to load shared libraries.  On OSX
   10.3, this is *RTLD_GLOBAL*, otherwise it is the same as
   *RTLD_LOCAL*.

Instances of these classes have no public methods.  Functions exported
by the shared library can be accessed as attributes or by index.
Please note that accessing the function through an attribute caches
the result and therefore accessing it repeatedly returns the same
object each time.  On the other hand, accessing it through an index
returns a new object each time:

   >>> from ctypes import CDLL
   >>> libc = CDLL("libc.so.6")  # On Linux
   >>> libc.time == libc.time
   True
   >>> libc['time'] == libc['time']
   False

The following public attributes are available, their name starts with
an underscore to not clash with exported function names:

PyDLL._handle

   The system handle used to access the library.

PyDLL._name

   The name of the library passed in the constructor.

Shared libraries can also be loaded by using one of the prefabricated
objects, which are instances of the "LibraryLoader" class, either by
calling the "LoadLibrary()" method, or by retrieving the library as
attribute of the loader instance.

class ctypes.LibraryLoader(dlltype)

   Class which loads shared libraries.  *dlltype* should be one of the
   "CDLL", "PyDLL", "WinDLL", or "OleDLL" types.

   "__getattr__()" has special behavior: It allows loading a shared
   library by accessing it as attribute of a library loader instance.
   The result is cached, so repeated attribute accesses return the
   same library each time.

   LoadLibrary(name)

      Load a shared library into the process and return it.  This
      method always returns a new instance of the library.

These prefabricated library loaders are available:

ctypes.cdll

   Creates "CDLL" instances.

ctypes.windll

   Creates "WinDLL" instances.

   Disponibilidade: Windows

ctypes.oledll

   Creates "OleDLL" instances.

   Disponibilidade: Windows

ctypes.pydll

   Creates "PyDLL" instances.

For accessing the C Python api directly, a ready-to-use Python shared
library object is available:

ctypes.pythonapi

   An instance of "PyDLL" that exposes Python C API functions as
   attributes.  Note that all these functions are assumed to return C
   int, which is of course not always the truth, so you have to assign
   the correct "restype" attribute to use these functions.

Carregar uma biblioteca através de qualquer um desses objetos levanta
um evento de auditoria "ctypes.dlopen" com o argumento string "name",
o nome usado para carregar a biblioteca.

Accessing a function on a loaded library raises an auditing event
"ctypes.dlsym" with arguments "library" (the library object) and
"name" (the symbol's name as a string or integer).

In cases when only the library handle is available rather than the
object, accessing a function raises an auditing event
"ctypes.dlsym/handle" with arguments "handle" (the raw library handle)
and "name".


Foreign functions
-----------------

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 local class "_FuncPtr" (not exposed in
"ctypes") which inherits from the private "_CFuncPtr" class:

   >>> import ctypes
   >>> lib = ctypes.CDLL(None)
   >>> issubclass(lib._FuncPtr, ctypes._CFuncPtr)
   True
   >>> lib._FuncPtr is ctypes._CFuncPtr
   False

class ctypes._CFuncPtr

   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"
      attribute.

   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" attribute.

         *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.

On Windows, when a foreign function call raises a system exception
(for example, due to an access violation), it will be captured and
replaced with a suitable Python exception. Further, an auditing event
"ctypes.set_exception" with argument "code" will be raised, allowing
an audit hook to replace the exception with its own.

Some ways to invoke foreign function calls as well as some of the
functions in this module may raise an auditing event
"ctypes.call_function" with arguments "function pointer" and
"arguments".


Function prototypes
-------------------

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" syntax. See Funções
Callbacks for examples.

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* is set to true, the ctypes private
   copy of the system "errno" variable is exchanged with the real
   "errno" value before and after the call; *use_last_error* does the
   same for the Windows error code.

ctypes.WINFUNCTYPE(restype, *argtypes, use_errno=False, use_last_error=False)

   The returned function prototype creates functions that use the
   "stdcall" calling convention.  The function will release the GIL
   during the call.  *use_errno* and *use_last_error* have the same
   meaning as above.

   Disponibilidade: Windows

ctypes.PYFUNCTYPE(restype, *argtypes)

   The returned function prototype creates functions that use the
   Python calling convention.  The function will *not* release the GIL
   during the call.

Function prototypes created by these factory functions can be
instantiated in different ways, depending on the type and number of
the parameters in the call:

prototype(address)

   Returns a foreign function at the specified address which must be
   an integer.

prototype(callable)

   Create a C callable function (a callback function) from a 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.

   If *iid* is not specified, an "OSError" is raised if the COM method
   call fails. If *iid* is specified, a "COMError" is raised instead.

   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 "argtypes" tuple.

   Disponibilidade: Windows

The optional *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.

The following example demonstrates how to wrap the 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);

Here is the wrapping with "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)

The "MessageBox" foreign function can now be called in these ways:

   >>> MessageBox()
   >>> MessageBox(text="Spam, spam, spam")
   >>> MessageBox(flags=2, text="foo bar")

A second example demonstrates output parameters.  The 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);

Here is the wrapping with "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
   >>>

If the "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
   >>>


Funções utilitárias
-------------------

ctypes.addressof(obj)

   Returns the address of the memory buffer as integer.  *obj* must be
   an instance of a ctypes type.

   Levanta um evento de auditoria "ctypes.addressof" com o argumento
   "obj".

ctypes.alignment(obj_or_type)

   Returns the alignment requirements of a ctypes type. *obj_or_type*
   must be a ctypes type or instance.

ctypes.byref(obj[, offset])

   Returns a light-weight pointer to *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.CopyComPointer(src, dst)

   Copies a COM pointer from *src* to *dst* and returns the Windows
   specific "HRESULT" value.

   If *src* is not "NULL", its "AddRef" method is called, incrementing
   the reference count.

   In contrast, the reference count of *dst* will not be decremented
   before assigning the new value. Unless *dst* is "NULL", the caller
   is responsible for decrementing the reference count by calling its
   "Release" method when necessary.

   Disponibilidade: Windows

   Adicionado na versão 3.14.

ctypes.cast(obj, type)

   This function is similar to the cast operator in C. It returns a
   new instance of *type* which points to the same memory block as
   *obj*.  *type* must be a pointer type, and *obj* must be an object
   that can be interpreted as a pointer.

ctypes.create_string_buffer(init, size=None)
ctypes.create_string_buffer(size)

   This function creates a mutable character buffer. The returned
   object is a ctypes array of "c_char".

   If *size* is given (and not "None"), it must be an "int". It
   specifies the size of the returned array.

   If the *init* argument is given, it must be "bytes". It is used to
   initialize the array items. Bytes not initialized this way are set
   to zero (NUL).

   If *size* is not given (or if it is "None"), the buffer is made one
   element larger than *init*, effectively adding a NUL terminator.

   If both arguments are given, *size* must not be less than
   "len(init)".

   Aviso:

     If *size* is equal to "len(init)", a NUL terminator is not added.
     Do not treat such a buffer as a C string.

   Por exemplo:

      >>> bytes(create_string_buffer(2))
      b'\x00\x00'
      >>> bytes(create_string_buffer(b'ab'))
      b'ab\x00'
      >>> bytes(create_string_buffer(b'ab', 2))
      b'ab'
      >>> bytes(create_string_buffer(b'ab', 4))
      b'ab\x00\x00'
      >>> bytes(create_string_buffer(b'abcdef', 2))
      Traceback (most recent call last):
         ...
      ValueError: byte string too long

   Levanta um evento de auditoria "ctypes.create_string_buffer" com os
   argumentos "init", "size".

ctypes.create_unicode_buffer(init, size=None)
ctypes.create_unicode_buffer(size)

   This function creates a mutable unicode character buffer. The
   returned object is a ctypes array of "c_wchar".

   The function takes the same arguments as "create_string_buffer()"
   except *init* must be a string and *size* counts "c_wchar".

   Levanta um evento de auditoria "ctypes.create_unicode_buffer" com
   os argumentos "init", "size".

ctypes.DllCanUnloadNow()

   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.

   Disponibilidade: Windows

ctypes.DllGetClassObject()

   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.

   Disponibilidade: Windows

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".

   The exact functionality is system dependent.

ctypes.util.find_msvcrt()

   Returns 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" is returned.

   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.

   Disponibilidade: Windows

ctypes.util.dllist()

   Try to provide a list of paths of the shared libraries loaded into
   the current process.  These paths are not normalized or processed
   in any way.  The function can raise "OSError" if the underlying
   platform APIs fail. The exact functionality is system dependent.

   On most platforms, the first element of the list represents the
   current executable file. It may be an empty string.

   Disponibilidade: Windows, macOS, iOS, glibc, BSD libc, musl

   Adicionado na versão 3.14.

ctypes.FormatError([code])

   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()".

   Disponibilidade: Windows

ctypes.GetLastError()

   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.

   Disponibilidade: Windows

ctypes.get_errno()

   Returns the current value of the ctypes-private copy of the system
   "errno" variable in the calling thread.

   Levanta um evento de auditoria "ctypes.get_errno" sem argumentos.

ctypes.get_last_error()

   Returns the current value of the ctypes-private copy of the system
   "LastError" variable in the calling thread.

   Disponibilidade: Windows

   Levanta um evento de auditoria "ctypes.get_last_error" sem
   argumentos.

ctypes.memmove(dst, src, count)

   Same as the standard C memmove library function: copies *count*
   bytes from *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, /)

   Create or return a ctypes pointer type. Pointer types are cached
   and reused internally, so calling this function repeatedly is
   cheap. *type* must be a ctypes type.

   **Detalhes da implementação do CPython:** The resulting pointer
   type is cached in the "__pointer_type__" attribute of *type*. It is
   possible to set this attribute before the first call to "POINTER"
   in order to set a custom pointer type. However, doing this is
   discouraged: manually creating a suitable pointer type is difficult
   without relying on implementation details that may change in future
   Python versions.

ctypes.pointer(obj, /)

   Create 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.

   Levanta um evento de auditoria "ctypes.set_errno" com o argumento
   "errno".

ctypes.set_last_error(value)

   Sets the current value of the ctypes-private copy of the system
   "LastError" variable in the calling thread to *value* and return
   the previous value.

   Disponibilidade: Windows

   Levanta um evento de auditoria "ctypes.set_last_error" com o
   argumento "error".

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(ptr, size=-1)

   Return the byte string at *void *ptr*. If *size* is specified, it
   is used as size, otherwise the string is assumed to be zero-
   terminated.

   Levanta um evento de auditoria "ctypes.string_at" com os argumentos
   "ptr", "size".

ctypes.WinError(code=None, descr=None)

   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.

   Disponibilidade: Windows

   Alterado na versão 3.3: An instance of "WindowsError" used to be
   created, which is now an alias of "OSError".

ctypes.wstring_at(ptr, size=-1)

   Return the wide-character string at *void *ptr*. If *size* is
   specified, it is used as the number of characters of the string,
   otherwise the string is assumed to be zero-terminated.

   Levanta um evento de auditoria "ctypes.wstring_at" com os
   argumentos "ptr", "size".

ctypes.memoryview_at(ptr, size, readonly=False)

   Return a "memoryview" object of length *size* that references
   memory starting at *void *ptr*.

   If *readonly* is true, the returned "memoryview" object can not be
   used to modify the underlying memory. (Changes made by other means
   will still be reflected in the returned object.)

   This function is similar to "string_at()" with the key difference
   of not making a copy of the specified memory. It is a semantically
   equivalent (but more efficient) alternative to "memoryview((c_byte
   * size).from_address(ptr))". (While "from_address()" only takes
   integers, *ptr* can also be given as a "ctypes.POINTER" or a
   "byref()" object.)

   Raises an auditing event "ctypes.memoryview_at" with arguments
   "address", "size", "readonly".

   Adicionado na versão 3.14.


Data types
----------

class 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" is raised.

      Levanta um evento de auditoria "ctypes.cdata/buffer" com os
      argumentos "pointer", "size", "offset".

   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" is raised.

      Levanta um evento de auditoria "ctypes.cdata/buffer" com os
      argumentos "pointer", "size", "offset".

   from_address(address)

      This method returns a ctypes type instance using the memory
      specified by *address* which must be an integer.

      Este método, e outros que indiretamente chamam este método,
      levantam um evento de auditoria "ctypes.cdata" com o argumento
      "address".

   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 class variables of ctypes data types:

   __pointer_type__

      The pointer type that was created by calling "POINTER()" for
      corresponding ctypes data type. If a pointer type was not yet
      created, the attribute is missing.

      Adicionado na versão 3.14.

   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.


Tipos de dados fundamentais
---------------------------

class 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" is
   a subclass of "_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.

      When the "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"
instance.

Subclasses of fundamental data types do *not* inherit this behavior.
So, if a foreign functions "restype" is a subclass of "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"
attribute.

These are the fundamental ctypes data types:

class ctypes.c_byte

   Represents the C signed char datatype, and interprets the value as
   small integer.  The constructor accepts an optional integer
   initializer; no overflow checking is done.

class ctypes.c_char

   Represents the 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.

class ctypes.c_char_p

   Represents the 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.

class ctypes.c_double

   Represents the C double datatype.  The constructor accepts an
   optional float initializer.

class ctypes.c_longdouble

   Represents the C long double datatype.  The constructor accepts an
   optional float initializer.  On platforms where "sizeof(long
   double) == sizeof(double)" it is an alias to "c_double".

class ctypes.c_float

   Represents the C float datatype.  The constructor accepts an
   optional float initializer.

class ctypes.c_double_complex

   Represents the C double complex datatype, if available.  The
   constructor accepts an optional "complex" initializer.

   Adicionado na versão 3.14.

class ctypes.c_float_complex

   Represents the C float complex datatype, if available.  The
   constructor accepts an optional "complex" initializer.

   Adicionado na versão 3.14.

class ctypes.c_longdouble_complex

   Represents the C long double complex datatype, if available.  The
   constructor accepts an optional "complex" initializer.

   Adicionado na versão 3.14.

class ctypes.c_int

   Represents the C signed 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 to
   "c_long".

class ctypes.c_int8

   Represents the C 8-bit signed int datatype.  It is an alias for
   "c_byte".

class ctypes.c_int16

   Represents the C 16-bit signed int datatype.  Usually an alias for
   "c_short".

class ctypes.c_int32

   Represents the C 32-bit signed int datatype.  Usually an alias for
   "c_int".

class ctypes.c_int64

   Represents the C 64-bit signed int datatype.  Usually an alias for
   "c_longlong".

class ctypes.c_long

   Represents the C signed long datatype.  The constructor accepts an
   optional integer initializer; no overflow checking is done.

class ctypes.c_longlong

   Represents the C signed long long datatype.  The constructor
   accepts an optional integer initializer; no overflow checking is
   done.

class ctypes.c_short

   Represents the C signed short datatype.  The constructor accepts an
   optional integer initializer; no overflow checking is done.

class ctypes.c_size_t

   Represents the C "size_t" datatype.

class ctypes.c_ssize_t

   Represents the C "ssize_t" datatype.

   Adicionado na versão 3.2.

class ctypes.c_time_t

   Represents the C "time_t" datatype.

   Adicionado na versão 3.12.

class ctypes.c_ubyte

   Represents the C unsigned char datatype, it interprets the value as
   small integer.  The constructor accepts an optional integer
   initializer; no overflow checking is done.

class ctypes.c_uint

   Represents the 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".

class ctypes.c_uint8

   Represents the C 8-bit unsigned int datatype.  It is an alias for
   "c_ubyte".

class ctypes.c_uint16

   Represents the C 16-bit unsigned int datatype.  Usually an alias
   for "c_ushort".

class ctypes.c_uint32

   Represents the C 32-bit unsigned int datatype.  Usually an alias
   for "c_uint".

class ctypes.c_uint64

   Represents the C 64-bit unsigned int datatype.  Usually an alias
   for "c_ulonglong".

class ctypes.c_ulong

   Represents the C unsigned long datatype.  The constructor accepts
   an optional integer initializer; no overflow checking is done.

class ctypes.c_ulonglong

   Represents the C unsigned long long datatype.  The constructor
   accepts an optional integer initializer; no overflow checking is
   done.

class ctypes.c_ushort

   Represents the C unsigned short datatype.  The constructor accepts
   an optional integer initializer; no overflow checking is done.

class ctypes.c_void_p

   Represents the C void* type.  The value is represented as integer.
   The constructor accepts an optional integer initializer.

class ctypes.c_wchar

   Represents the 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.

class ctypes.c_wchar_p

   Represents the 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.

class 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.

class ctypes.HRESULT

   Represents a "HRESULT" value, which contains success or error
   information for a function or method call.

   Disponibilidade: Windows

class ctypes.py_object

   Represents the C PyObject* datatype.  Calling this without an
   argument creates a "NULL" PyObject* pointer.

   Alterado na versão 3.14: "py_object" is now a *generic type*.

The "ctypes.wintypes" module provides quite some other Windows
specific data types, for example "HWND", "WPARAM", or "DWORD". Some
useful structures like "MSG" or "RECT" are also defined.


Structured data types
---------------------

class ctypes.Union(*args, **kw)

   Abstract base class for unions in native byte order.

   Unions share common attributes and behavior with structures; see
   "Structure" documentation for details.

class ctypes.BigEndianUnion(*args, **kw)

   Abstract base class for unions in *big endian* byte order.

   Adicionado na versão 3.11.

class ctypes.LittleEndianUnion(*args, **kw)

   Abstract base class for unions in *little endian* byte order.

   Adicionado na versão 3.11.

class ctypes.BigEndianStructure(*args, **kw)

   Abstract base class for structures in *big endian* byte order.

class ctypes.LittleEndianStructure(*args, **kw)

   Abstract base class for structures in *little endian* byte order.

Structures and unions with non-native byte order cannot contain
pointer type fields, or any other data types containing pointer type
fields.

class ctypes.Structure(*args, **kw)

   Abstract base class for structures in *native* byte order.

   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_" class variable *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)),
                          ...
                         ]

      The "_fields_" class variable can only be set once. Later
      assignments will raise an "AttributeError".

      Additionally, the "_fields_" class variable must be defined
      before the structure or union type is first used: an instance or
      subclass is created, "sizeof()" is called on it, and so on.
      Later assignments to "_fields_" will raise an "AttributeError".
      If "_fields_" has not been set before such use, the structure or
      union will have no own fields, as if "_fields_" was empty.

      Sub-subclasses of structure types 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.

      This is only implemented for the MSVC-compatible memory layout
      (see "_layout_").

      Setting "_pack_" to 0 is the same as not setting it at all.
      Otherwise, the value must be a positive power of two. The effect
      is equivalent to "#pragma pack(N)" in C, except "ctypes" may
      allow larger *n* than what the compiler accepts.

      "_pack_" must already be defined when "_fields_" is assigned,
      otherwise it will have no effect.

      Deprecated since version 3.14, will be removed in version 3.19:
      For historical reasons, if "_pack_" is non-zero, the MSVC-
      compatible layout will be used by default. On non-Windows
      platforms, this default is deprecated and is slated to become an
      error in Python 3.19. If it is intended, set "_layout_" to
      "'ms'" explicitly.

   _align_

      An optional small integer that allows increasing the alignment
      of the structure when being packed or unpacked to/from memory.

      The value must not be negative. The effect is equivalent to
      "__attribute__((aligned(N)))" on GCC or "#pragma align(N)" on
      MSVC, except "ctypes" may allow values that the compiler would
      reject.

      "_align_" can only *increase* a structure's alignment
      requirements. Setting it to 0 or 1 has no effect.

      Using values that are not powers of two is discouraged and may
      lead to surprising behavior.

      "_align_" must already be defined when "_fields_" is assigned,
      otherwise it will have no effect.

      Adicionado na versão 3.13.

   _layout_

      An optional string naming the struct/union layout. It can
      currently be set to:

      * ""ms"": the layout used by the Microsoft compiler (MSVC). On
        GCC and Clang, this layout can be selected with
        "__attribute__((ms_struct))".

      * ""gcc-sysv"": the layout used by GCC with the System V or
        “SysV-like” data model, as used on Linux and macOS. With this
        layout, "_pack_" must be unset or zero.

      If not set explicitly, "ctypes" will use a default that matches
      the platform conventions. This default may change in future
      Python releases (for example, when a new platform gains official
      support, or when a difference between similar platforms is
      found). Currently the default will be:

      * On Windows: ""ms""

      * When "_pack_" is specified: ""ms"". (This is deprecated; see
        "_pack_" documentation.)

      * Otherwise: ""gcc-sysv""

      "_layout_" must already be defined when "_fields_" is assigned,
      otherwise it will have no effect.

      Adicionado na versão 3.14.

   _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)]

      The "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 define 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_".

class ctypes.CField(*args, **kw)

   Descriptor for fields of a "Structure" and "Union". For example:

      >>> class Color(Structure):
      ...     _fields_ = (
      ...         ('red', c_uint8),
      ...         ('green', c_uint8),
      ...         ('blue', c_uint8),
      ...         ('intense', c_bool, 1),
      ...         ('blinking', c_bool, 1),
      ...    )
      ...
      >>> Color.red
      <ctypes.CField 'red' type=c_ubyte, ofs=0, size=1>
      >>> Color.green.type
      <class 'ctypes.c_ubyte'>
      >>> Color.blue.byte_offset
      2
      >>> Color.intense
      <ctypes.CField 'intense' type=c_bool, ofs=3, bit_size=1, bit_offset=0>
      >>> Color.blinking.bit_offset
      1

   All attributes are read-only.

   "CField" objects are created via "_fields_"; do not instantiate the
   class directly.

   Adicionado na versão 3.14: Previously, descriptors only had
   "offset" and "size" attributes and a readable string
   representation; the "CField" class was not available directly.

   name

      Name of the field, as a string.

   type

      Type of the field, as a ctypes class.

   offset
   byte_offset

      Offset of the field, in bytes.

      For bitfields, this is the offset of the underlying byte-aligned
      *storage unit*; see "bit_offset".

   byte_size

      Size of the field, in bytes.

      For bitfields, this is the size of the underlying *storage
      unit*. Typically, it has the same size as the bitfield's type.

   size

      For non-bitfields, equivalent to "byte_size".

      For bitfields, this contains a backwards-compatible bit-packed
      value that combines "bit_size" and "bit_offset". Prefer using
      the explicit attributes instead.

   is_bitfield

      True if this is a bitfield.

   bit_offset
   bit_size

      The location of a bitfield within its *storage unit*, that is,
      within "byte_size" bytes of memory starting at "byte_offset".

      To get the field's value, read the storage unit as an integer,
      shift left by "bit_offset" and take the "bit_size" least
      significant bits.

      For non-bitfields, "bit_offset" is zero and "bit_size" is equal
      to "byte_size * 8".

   is_anonymous

      True if this field is anonymous, that is, it contains nested
      sub-fields that should be merged into a containing structure or
      union.


Arrays and pointers
-------------------

class ctypes.Array(*args)

   Abstract base class for arrays.

   The recommended way to create concrete array types is by
   multiplying any "ctypes" data type with a non-negative 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.ARRAY(type, length)

   Create an array. Equivalent to "type * length", where *type* is a
   "ctypes" data type and *length* an integer.

   This function is *soft deprecated* in favor of multiplication.
   There are no plans to remove it.

class ctypes._Pointer

   Private, abstract base class for pointers.

   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()" will raise "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_

      Specifies the type pointed to.

   contents

      Returns the object to which to pointer points.  Assigning to
      this attribute changes the pointer to point to the assigned
      object.


Exceções
--------

exception ctypes.ArgumentError

   This exception is raised when a foreign function call cannot
   convert one of the passed arguments.

exception ctypes.COMError(hresult, text, details)

   This exception is raised when a COM method call failed.

   hresult

      The integer value representing the error code.

   text

      The error message.

   details

      The 5-tuple "(descr, source, helpfile, helpcontext, progid)".

      *descr* is the textual description.  *source* is the language-
      dependent "ProgID" for the class or application that raised the
      error.  *helpfile* is the path of the help file.  *helpcontext*
      is the help context identifier.  *progid* is the "ProgID" of the
      interface that defined the error.

   Disponibilidade: Windows

   Adicionado na versão 3.14.
