Bug in Least Square Gradient. 

When using the Lstsq_grad algorithm, the algorithm fails when the probe update is set to values greater than zero. Is this intentional? In lstsq_grad.py on line 548, it calls for bpatches which was set to None on line 543 because the recover probe is set to False for the iterations before the probe update start on line 84.  