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I was doing some profiling and saw lots of string computations caused by recomputing equals and hashcode. This adds a cache for the hashCode of Shape and takes advantage of the caching used for Trait and Shape when performing equals checks. I also don't think the cost of computing a canonical class name is needed compared to using Class#getName for Model's blackboard data structure. Finally, I saw we were creating a Stream and not using it.
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I was doing some profiling and saw lots of string
computations caused by recomputing equals and hashcode.
This adds a cache for the hashCode of Shape and takes
advantage of the caching used for Trait and Shape when
performing equals checks.
I also don't think the cost of computing a canonical
class name is needed compared to using Class#getName
for Model's blackboard data structure.
Finally, I saw we were creating a Stream and not using it.
Issue #, if available:
Description of changes:
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