Using DLL Files in Python without C Wrappers
Utilizing DLL files within Python can be achieved seamlessly without resorting to additional C wrappers. One highly recommended and straightforward approach is employing ctypes.
Introducing ctypes
ctypes provides a native Python module that facilitates interaction with C-compatible libraries. It supplies data types analogous to C (e.g., int, char, void*) and enables passing parameters by value or reference. Additionally, it can handle the return of specific data types.
Example Usage
Consider the following example, based on actual code (Python 2.5):
<code class="python">import ctypes # Load the DLL. hllDll = ctypes.WinDLL("c:\PComm\ehlapi32.dll") # Function prototype and parameters. hllApiProto = ctypes.WINFUNCTYPE(ctypes.c_int, ctypes.c_void_p, ctypes.c_void_p, ctypes.c_void_p, ctypes.c_void_p) hllApiParams = ((1, "p1", 0), (1, "p2", 0), (1, "p3", 0), (1, "p4", 0)) # Function mapping. hllApi = hllApiProto(("HLLAPI", hllDll), hllApiParams) # Function call. p1 = ctypes.c_int(1) p2 = ctypes.c_char_p(sessionVar) p3 = ctypes.c_int(1) p4 = ctypes.c_int(0) hllApi(ctypes.byref(p1), p2, ctypes.byref(p3), ctypes.byref(p4))</code>
In this example, the HLL API is employed and parameters are passed by value or reference (as per HLLAPI specifications). The function is mapped to a Python name (hllApi) and invoked with the necessary variables.
Conclusion
By utilizing ctypes and following the illustrated approach, developers can seamlessly interact with DLL files without the need for external C code. This empowers them to leverage the capabilities of these libraries directly from within their Python scripts.
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