Reduce.strided_run: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/reduce.bend as Reduce
Lines 119-129 of bendtorch-core@0.1.0.0/src/autograd/reduce.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce.bend&start_line=119&end_line=129

import Base

# The fuel + 1 words at offsets base + step * d + lift for d = digit, digit +
# 1, ..., added to `accumulator` in that order; `pair` is the read of the
# first. Each step reads the next word and hands it on as an argument.
def strided_run(fuel: Nat, +step: Nat, +base: Nat, +digit: Nat, +lift: Nat, accumulator: F32, pair: Array<F32> & F32) ->
  F32 & Array<F32>:
  match fuel pair:
    case 0n Tuple{array, word}:
      (F32.add(accumulator, word), array)
    case 1n+remaining Tuple{array, word}:
      strided_run(remaining, step, base, 1n+digit, lift, F32.add(accumulator, word),
        Array.get(F32, array, U32.from_nat(strided_offset(step, base, 1n+digit, lift))))

Uses (9):
  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=F32.add
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Pair
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Sigma
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.from_nat
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce.bend&name=strided_offset