I'm using ctypes to interface with a binary which returns a void pointer (ctypes c_void_p) to a nested 64-bit float array: [[1.0, 2.0], [3.0, 4.0], … ] then return the pointer so it can be freed
I'm using the following code to de-reference it: # a 10-element array shape = (10, 2) array_size = np.prod(shape) mem_size = 8 * array_size array_str = ctypes.string_at(ptr, mem_size) # convert to NumPy array,and copy to a list ls = np.frombuffer(array_str, dtype="float64", count=array_size).reshape(shape).tolist() # return pointer so it can be freed drop_array(ptr) return ls This works correctly and consistently on Linux and OSX using NumPy 1.11.0, but fails on Windows 32 bit and 64-bit about 50% of the time, returning nonsense values. Am I doing something wrong? Is there a better way to do this? -- s -- https://mail.python.org/mailman/listinfo/python-list
