Python ctypes.byref方法代碼示例

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def windowsRam(self):
        """
        Uses Windows API to check RAM
        """
        kernel32 = ctypes.windll.kernel32
        c_ulong = ctypes.c_ulong

        class MEMORYSTATUS(ctypes.Structure):
            _fields_ = [
                ("dwLength", c_ulong),
                ("dwMemoryLoad", c_ulong),
                ("dwTotalPhys", c_ulong),
                ("dwAvailPhys", c_ulong),
                ("dwTotalPageFile", c_ulong),
                ("dwAvailPageFile", c_ulong),
                ("dwTotalVirtual", c_ulong),
                ("dwAvailVirtual", c_ulong)
            ]

        memoryStatus = MEMORYSTATUS()
        memoryStatus.dwLength = ctypes.sizeof(MEMORYSTATUS)
        kernel32.GlobalMemoryStatus(ctypes.byref(memoryStatus))

        return int(memoryStatus.dwTotalPhys / 1024 ** 2) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def try_enable_ansi():
            """Try enabling ANSI colors
            https://stackoverflow.com/questions/44482505/setconsolemode-returning-false-when-enabling-ansi-color-under-windows-10"""
            lpMode = wintypes.DWORD()
            handle = WINAPI._GetStdHandle(WINAPI._STDOUT)
            if WINAPI._GetConsoleMode(handle, ctypes.byref(lpMode)):
               
                if not WINAPI._SetConsoleMode(handle, lpMode.value | WINAPI._ENABLE_VIRTUAL_TERMINAL_PROCESSING):
                    return False
            else:
                return False
            
            lpMode = wintypes.DWORD()
            handle = WINAPI._GetStdHandle(WINAPI._STDERR)
            if WINAPI._GetConsoleMode(handle, ctypes.byref(lpMode)):
                if not WINAPI._SetConsoleMode(handle, lpMode.value | WINAPI._ENABLE_VIRTUAL_TERMINAL_PROCESSING):
                    return False
            else:
                return False
            
            return True 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def lcs(s, t):
    """
        Calculate the longest common subsequence between two sequences in O(min(len(x), len(y))) space and O(len(x) * len(y)) time.
        Implemented in C++.
        Since only one instance from the set of longest common subsequences is returned,
        the algorithm has the unpleasing property of not being commutative (i.e., changing
        the input vectors changes the result).
        :see: https://en.wikipedia.org/wiki/Hirschberg%27s_algorithm
        :param x: First input sequence.
        :param y: Second input sequence.
        :return: LCS(x, y)
    """
    result = create_string_buffer("\0" * min(len(s), len(t)))
    result_len = c_size_t(len(result))
    if isinstance(s, list):
        s = "".join(s)
    if isinstance(t, list):
        t = "".join(t)
    ret = _lib.hirschberg_lcs(s, len(s), t, len(t), result, byref(result_len))
    if ret == 0:
        return result[:result_len.value]
    else:
        raise RuntimeError("lcs returned error code %d" % ret) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def hamming_klcs(seqs):
    """
        Implementation of k-LCS as described in Christian Blichmann's thesis "Automatisierte Signaturgenerierung fuer Malware-Staemme" on page 52.
        This algorithm will not forcibly find THE longest common subsequence among all sequences, as the subsequence returned by the 2-LCS algorithm
        might not be the optimal one from the set of longest common subsequences.
        :see: https://static.googleusercontent.com/media/www.zynamics.com/en//downloads/blichmann-christian--diplomarbeit--final.pdf
        :param seqs: List of sequences
        :return: A shared subsequence between the input sequences. Not necessarily the longest one, and only one of several that might exist.
    """
    c_seqs_type = c_char_p * len(seqs)
    c_seqs = c_seqs_type()
    c_seqs[:] = seqs
    c_lens_type = c_size_t * len(seqs)
    c_lens = c_lens_type()
    c_lens[:] = [len(seq) for seq in seqs]
    result = create_string_buffer("\0" * min(len(seq) for seq in seqs))
    result_len = c_size_t(len(result))
    ret = _lib.hamming_klcs_c(c_seqs, c_lens, len(seqs), result, byref(result_len))
    if ret == 0:
        return result[:result_len.value]
    else:
        raise RuntimeError("lcs returned error code %d" % ret) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def Put(self, name, val, flavor):
        prototype = ctypes.WINFUNCTYPE(HRESULT,
                                       wintypes.LPCWSTR,
                                       ctypes.POINTER(winapi.VARIANT),
                                       ctypes.c_long)

        paramflags = ((_In_, 'wszName'),
                      (_In_, 'pVal'),
                      (_In_, 'lFlavor'),
                      )

        _Put = prototype(IWbemQualifierSet_Put_Idx,
                         'Put',
                         paramflags)
        _Put.errcheck = winapi.RAISE_NON_ZERO_ERR
        _Put(self.this,
             name,
             ctypes.byref(val) if val else None,
             flavor
             ) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def GetNames(self, qualifier_name, flags, qualifier_val):
        prototype = ctypes.WINFUNCTYPE(HRESULT,
                                       wintypes.LPCWSTR,
                                       ctypes.c_long,
                                       ctypes.POINTER(winapi.VARIANT),
                                       ctypes.POINTER(wintypes.LPVOID))

        paramflags = ((_In_, 'wszQualifierName'),
                      (_In_, 'lFlags'),
                      (_In_, 'pQualifierVal'),
                      (_Out_, 'pNames'),
                      )

        _GetNames = prototype(IWbemClassObject_GetNames_Idx,
                              'GetNames',
                              paramflags)
        _GetNames.errcheck = winapi.RAISE_NON_ZERO_ERR
        return_obj = _GetNames(self.this,
                               qualifier_name,
                               flags,
                               ctypes.byref(qualifier_val) if qualifier_val else None
                               )
        return_obj = ctypes.cast(wintypes.LPVOID(return_obj), ctypes.POINTER(winapi.SAFEARRAY))
        return return_obj 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def SetValue(self, name, flags, value):
        prototype = ctypes.WINFUNCTYPE(HRESULT,
                                       wintypes.LPCWSTR,
                                       ctypes.c_long,
                                       ctypes.POINTER(winapi.VARIANT))

        paramflags = ((_In_, 'wszName'),
                      (_In_, 'lFlags'),
                      (_In_, 'pValue'),
                      )

        _SetValue = prototype(IWbemContext_SetValue_Idx,
                              'SetValue',
                              paramflags)
        _SetValue.errcheck = winapi.RAISE_NON_ZERO_ERR
        _SetValue(self.this,
                  name,
                  flags,
                  ctypes.byref(value) if value else None
                  ) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def QueryInterface(self, riid):
        prototype = ctypes.WINFUNCTYPE(HRESULT,
                                       ctypes.POINTER(winapi.GUID),
                                       ctypes.POINTER(wintypes.LPVOID))

        paramflags = ((_In_, 'riid'),
                      (_Out_, 'ppvObject', ctypes.pointer(wintypes.LPVOID(None)))
                      )

        _QueryInterface = prototype(IUnknown_QueryInterface_Idx,
                                    'QueryInterface',
                                    paramflags)
        _QueryInterface.errcheck = winapi.RAISE_NON_ZERO_ERR
        return_ptr = _QueryInterface(self.this,
                                     ctypes.byref(riid))
        return IUnknown(return_ptr.contents) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def imdecode(str_img, flag=1):
    """Decode image from str buffer.
    Wrapper for cv2.imdecode that uses mx.nd.NDArray

    Parameters
    ----------
    str_img : str
        str buffer read from image file
    flag : int
        same as flag for cv2.imdecode
    Returns
    -------
    img : NDArray
        decoded image in (width, height, channels)
        with BGR color channel order
    """
    hdl = NDArrayHandle()
    check_call(_LIB.MXCVImdecode(ctypes.c_char_p(str_img),
                                 mx_uint(len(str_img)),
                                 flag, ctypes.byref(hdl)))
    return mx.nd.NDArray(hdl) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def resize(src, size, interpolation=cv2.INTER_LINEAR):
    """Decode image from str buffer.
    Wrapper for cv2.imresize that uses mx.nd.NDArray

    Parameters
    ----------
    src : NDArray
        image in (width, height, channels)
    size : tuple
        target size in (width, height)
    interpolation : int
        same as interpolation for cv2.imresize

    Returns
    -------
    img : NDArray
        resized image
    """
    hdl = NDArrayHandle()
    check_call(_LIB.MXCVResize(src.handle, mx_uint(size[0]), mx_uint(size[1]),
                               interpolation, ctypes.byref(hdl)))
    return mx.nd.NDArray(hdl) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def copyMakeBorder(src, top, bot, left, right, border_type=cv2.BORDER_CONSTANT, value=0):
    """Pad image border
    Wrapper for cv2.copyMakeBorder that uses mx.nd.NDArray

    Parameters
    ----------
    src : NDArray
        Image in (width, height, channels).
        Others are the same with cv2.copyMakeBorder

    Returns
    -------
    img : NDArray
        padded image
    """
    hdl = NDArrayHandle()
    check_call(_LIB.MXCVcopyMakeBorder(src.handle, ctypes.c_int(top), ctypes.c_int(bot),
                                       ctypes.c_int(left), ctypes.c_int(right),
                                       ctypes.c_int(border_type), ctypes.c_double(value),
                                       ctypes.byref(hdl)))
    return mx.nd.NDArray(hdl) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def set_bulk_size(size):
    """Set size limit on bulk execution.

    Bulk execution bundles many operators to run together.
    This can improve performance when running a lot of small
    operators sequentially.

    Parameters
    ----------
    size : int
        Maximum number of operators that can be bundled in a bulk.

    Returns
    -------
    int
        Previous bulk size.
    """
    prev = ctypes.c_int()
    check_call(_LIB.MXEngineSetBulkSize(
        ctypes.c_int(size), ctypes.byref(prev)))
    return prev.value 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def tell(self):
        """Returns the current position of write head.

        Example usage:
        ----------
        >>> record = mx.recordio.MXIndexedRecordIO('tmp.idx', 'tmp.rec', 'w')
        >>> print(record.tell())
        0
        >>> for i in range(5):
        ...     record.write_idx(i, 'record_%d'%i)
        ...     print(record.tell())
        16
        32
        48
        64
        80
        """
        assert self.writable
        pos = ctypes.c_size_t()
        check_call(_LIB.MXRecordIOWriterTell(self.handle, ctypes.byref(pos)))
        return pos.value 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def num_gpus():
    """Query CUDA for the number of GPUs present.

    Raises
    ------
    Will raise an exception on any CUDA error.

    Returns
    -------
    count : int
        The number of GPUs.

    """
    count = ctypes.c_int()
    check_call(_LIB.MXGetGPUCount(ctypes.byref(count)))
    return count.value 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import byref [as 別名]
def _new_alloc_handle(shape, ctx, delay_alloc, dtype=mx_real_t):
    """Return a new handle with specified shape and context.

    Empty handle is only used to hold results.

    Returns
    -------
    handle
        A new empty `NDArray` handle.
    """
    hdl = NDArrayHandle()
    check_call(_LIB.MXNDArrayCreateEx(
        c_array_buf(mx_uint, native_array('I', shape)),
        mx_uint(len(shape)),
        ctypes.c_int(ctx.device_typeid),
        ctypes.c_int(ctx.device_id),
        ctypes.c_int(int(delay_alloc)),
        ctypes.c_int(int(_DTYPE_NP_TO_MX[np.dtype(dtype).type])),
        ctypes.byref(hdl)))
    return hdl