Commits on Sep 12, 2023

1. Remove high-priority, soft weight constraint from distributions …

   This removes the soft constraint created after building the
   hard constraints for a distribution. It also reverses the
   unittest meant for testing that distribution non-zero weights
   can override soft constraints.
   
   This saves off the weight list and a function to calculate them
   into ConstraintDistScopeModel, in the hopes that at some point
   recalling the randomization model and swizzler would re-randomize
   the distribution weight targeted.
   
   This also adds enough type hints to make it easier to track down
   target_range and distribution weight list usage.

   

   alwilson committed Sep 12, 2023
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