ReduceLAWS.fiber: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend as ReduceLAWS
Lines 49-58 of bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend&start_line=49&end_line=58

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/projection_LAWS.bend as Projection

# The specified accumulation: start at +0.0 and visit contribution positions
# 0, 1, ..., count - 1 in ascending order; each position whose independent
# broadcast projection, Projection.offset_spec, has target_offset equal to
# target_index adds the word at its source_offset with one F32 add.
def fiber(+plan: Shape.BroadcastPlan, +values: List<&2, F32>, +target_index: U32, +count: Nat) -> Maybe<&2, F32>:
  match count:
    case 0n:
      Some{0.0}
    case 1n+position:
      contribute(values, target_index, fiber(plan, values, target_index, position), Projection.offset_spec(plan, position))

Uses (8):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Maybe
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/autograd/reduce_LAWS.bend&name=contribute
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=BroadcastPlan
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/projection_LAWS.bend&name=offset_spec