adds in a new merge method based off of NearSwap

it uses Dare_Ties and adds in auto weight calculation based off of near tuned interpolation on a per parameter bases.

so theoretically it is gradient weights on steroids.

Am looking at changing this into in a auto density function that will feed back into the weight function based on calculating a gradient and variance-based density map, with a gradient fall off for each parameter

this is the ramblings of a sleep deprived idiot

fixed batch dimension logic

added weight defaults

Update generalized_task_arithmetic.py