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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _screen_buffer(self):
 """Setup the screen buffer from the C++ code."""

        # get the address of the screen
        address = _LIB.Screen(self._env)
        # create a buffer from the contents of the address location
        buffer_ = ctypes.cast(address, ctypes.POINTER(SCREEN_TENSOR)).contents
        # create a NumPy array from the buffer
        screen = np.frombuffer(buffer_, dtype='uint8')
        # reshape the screen from a column vector to a tensor
        screen = screen.reshape(SCREEN_SHAPE_32_BIT)
        # flip the bytes if the machine is little-endian (which it likely is)
        if sys.byteorder == 'little':
            # invert the little-endian BGRx channels to big-endian xRGB
            screen = screen[:, :, ::-1]
        # remove the 0th axis (padding from storing colors in 32 bit)
        return screen[:, :, 1:]