def set_balanced

bendtorch-core@0.1.0.0 · src/storage/refinement.bend:389

import Base
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model

389def set_balanced(-T: Data, -d: Nat, -original: Array<T>, -i: U32, -new: T,
390  cert: SwapFull<T, d, original, i, new>) -> Model.Balanced(T, d, Array.set(T, original, i, new)):
391  match cert:
392    case SwapFull{array, old, equal, written, observed, valid}:
393      %equal : Model.Balanced(T, d, Array.set.fin(T, _))
394      valid