Issue for the FAKE_QUANT result

Hi,
For the example:
a=tf.fake_quant_with_min_max_vars([-1.0,0.0,1.0], min=-1, max=1)
sess=tf.Session()
sess(a)
The result is array([-0.9960785, 0. , 1.0039215], dtype=float32)

But according to the source code "fake_quant_ops_functor.h":
it define the:
*scale = (max - min) / (quant_max_float - quant_min_float);
zero_point_from_min = quant_min_float - min / *scale;
nudged_zero_point = StdRound(zero_point_from_min);
*nudged_min = (quant_min_float - nudged_zero_point) * (*scale);
*nudged_max = (quant_max_float - nudged_zero_point) * (*scale);

So, i think the result should be [-1.0039215, 0. , 0.9960785].
Please help me to resolve the confusion.
Thanks