MatmulParallelProof.run_eq: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend as MatmulParallelProof
Lines 125-139 of bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend&start_line=125&end_line=139

import Base
import bendtorch-core@0.1.0.0/src/storage/model.bend as Model
import bendtorch-core@0.1.0.0/src/tensor/matmul.bend as Matrix
import bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend as Parallel

# A run of fuel + 1 terms from cursor folds the factor pairs it read, and
# both arrays come back.
def run_eq(+fuel: Nat, +dl: Nat, +dr: Nat, -A: Array<F32>, -B: Array<F32>, +inner: Nat, +columns: Nat,
  +row: Nat, +column: Nat, +cursor: Nat, -accumulator: F32,
  -la: Array<F32>, -ra: Array<F32>, -el: {la == A : Array<F32>}, -er: {ra == B : Array<F32>}, -left_valid: Model.Balanced(F32, dl, A), -right_valid: Model.Balanced(F32, dr, B),
  pl: Array<F32> & F32, -exact_l: {pl == Array.get(F32, la, Matrix.left_index(inner, row, cursor)) : Array<F32> & F32},
  pr: Array<F32> & F32, -exact_r: {pr == Array.get(F32, ra, Matrix.right_index(columns, column, cursor)) : Array<F32> & F32}) ->
  Parallel.Fact<DotRun<1n+fuel, dl, dr, A, B, inner, columns, row, column, cursor, accumulator, Matrix.product_run(fuel, 1n, columns, Nat.add(Nat.mul(row, inner), cursor), Nat.add(Nat.mul(cursor, columns), column), accumulator, pl, pr)>>:
  match fuel:
    case 0n:
      run_last(dl, dr, A, B, inner, columns, row, column, cursor, accumulator, la, ra, el, er, left_valid, right_valid, pl, exact_l, pr, exact_r)
    case 1n+rest:
      run_next(rest, dl, dr, A, B, inner, columns, row, column, cursor, accumulator, la, ra, el, er, left_valid, right_valid, pl, exact_l, pr, exact_r,
        value => l => r => el => er => run_eq(rest, dl, dr, A, B, inner, columns, row, column, 1n+cursor, value, l, r, el, er, left_valid, right_valid,
          Array.get(F32, l, Matrix.left_index(inner, row, 1n+cursor)), {==}, Array.get(F32, r, Matrix.right_index(columns, column, 1n+cursor)), {==}))

Uses (15):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.get
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.add
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.mul
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Pair
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/storage/model.bend&name=Balanced
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend&name=Fact
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=left_index
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=product_run
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul.bend&name=right_index
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend&name=DotRun
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend&name=run_last
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/matmul_parallel_proof.bend&name=run_next