human
Can you provide a the Python program you requested given the following:
Complete the below
def _make_torch_function(handle):

    ''''Create a Torch function from the FunctionHandle.'
    '''
assistant
#Here is the Python program you requested.
    n_used_vars = mx_uint()
    n_scalars = mx_uint()
    n_mutate_vars = mx_uint()
    type_mask = ctypes.c_int()
    check_call(_LIB.MXFuncDescribe(handle, ctypes.byref(n_used_vars), ctypes.byref(n_scalars), ctypes.byref(n_mutate_vars), ctypes.byref(type_mask)))
    n_mutate_vars = n_mutate_vars.value
    n_used_vars = n_used_vars.value
    n_scalars = n_scalars.value
    type_mask = type_mask.value
    name = ctypes.c_char_p()
    desc = ctypes.c_char_p()
    num_args = mx_uint()
    arg_names = ctypes.POINTER(ctypes.c_char_p)()
    arg_types = ctypes.POINTER(ctypes.c_char_p)()
    arg_descs = ctypes.POINTER(ctypes.c_char_p)()
    ret_type = ctypes.c_char_p()
    check_call(_LIB.MXFuncGetInfo(handle, ctypes.byref(name), ctypes.byref(desc), ctypes.byref(num_args), ctypes.byref(arg_names), ctypes.byref(arg_types), ctypes.byref(arg_descs), ctypes.byref(ret_type)))
    func_name = py_str(name.value)
    if (not func_name.startswith('_th_')):
        return None
    narg = int(num_args.value)
    param_str = _build_param_doc([py_str(arg_names[i]) for i in range(narg)], [py_str(arg_types[i]) for i in range(narg)], [py_str(arg_descs[i]) for i in range(narg)])
    if (n_mutate_vars > 1):
        res = ','.join([('res%d    ' % i) for i in range(n_mutate_vars)])
    else:
        res = 'res    '
    doc_str = ((((('Interface    for    Torch    function    {name}.\n' + 'Invoke    with\n{res}=    mxnet.th.{name}(Parameters)\nor\n') + 'mxnet.th.{name}({res},    Parameters).\n\n') + '{param_str}\n') + 'Reference:    ') + 'https://github.com/torch/torch7/blob/master/doc/maths.md\n').format(name=func_name[4:], param_str=param_str, res=res)
    def generic_torch_function(*args, **kwargs):
        'Invoke    this    function    by    passing    in    parameters.\n\n                                Parameters\n                                ----------\n                                *args\n                                                Positional    arguments    of    inputs    (both    scalar    and    `NDArray`).\n\n    ...