Prerequisite for parallel search. NNUE held all state on one instance:
the immutable transposed L1 weight matrix alongside the mutable
accumulator stack, scratch buffers and eval cache. That made concurrent
eval calls corrupt shared buffers.
Extract the read-only parameters into NNUEWeights (heavy to build, safe
to share). NNUE now owns only per-instance mutable buffers and references
the shared weights, so many evaluators can run in parallel over one weight
matrix without duplicating it. Single-instance behaviour is unchanged —
EvaluationNNUE still uses one evaluator, so play is identical.
Also applies scalafmt alignment to the MopUp files.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Janis
b72e8ec017