ElementwiseParallelProof.side_inside: def of bendtorch-core@0.1.0.0
Import: import bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend as ElementwiseParallelProof
Lines 438-449 of bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend: https://jend.leeeet.dev/read.txt?path=bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend&start_line=438&end_line=449

import Base
import bendtorch-core@0.1.0.0/src/shape/core.bend as Shape
import bendtorch-core@0.1.0.0/src/tensor/core.bend as Core
import bendtorch-core@0.1.0.0/src/tensor/elementwise_totality.bend as Totality
import bendtorch-core@0.1.0.0/src/tensor/word_conversion.bend as WordConversion

# A cell an index walk names lies inside the input it reads.
def side_inside(-input: Core.Dynamic, +side: Shape.Shape, +walk: Nat,
  fits: {Totality.dimensions(input) == Shape.dimensions(side) : List<&2, U32>},
  +bound: {True{} == Nat.is_lt(walk, Shape.elements(side)) : Bool}) ->
  {Nat.is_lt(U32.to_nat(U32.from_nat(walk)), Shape.logical_numel(Totality.dimensions(input))) == True{} : Bool}:
  %Equal.sym(Nat, U32.to_nat(U32.from_nat(walk)), walk,
    word_exact(side, walk, WordConversion.lt_le(walk, Shape.elements(side), Equal.sym(Bool, True{}, Nat.is_lt(walk, Shape.elements(side)), bound)))) :
    {Nat.is_lt(_, Shape.logical_numel(Totality.dimensions(input))) == True{} : Bool}
  %Equal.sym(List<&2, U32>, Totality.dimensions(input), Shape.dimensions(side), fits) :
    {Nat.is_lt(walk, Shape.logical_numel(_)) == True{} : Bool}
  %Shape.elements_exact(side) : {Nat.is_lt(walk, _) == True{} : Bool}
  Equal.sym(Bool, True{}, Nat.is_lt(walk, Shape.elements(side)), bound)

Uses (17):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Bool
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Equal.sym
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=List
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat.is_lt
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.from_nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.to_nat
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=Shape
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=dimensions
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=elements
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=elements_exact
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/shape/core.bend&name=logical_numel
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/core.bend&name=Dynamic
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/elementwise_parallel_proof.bend&name=word_exact
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/elementwise_totality.bend&name=dimensions
  https://jend.leeeet.dev/definition.txt?path=bendtorch-core@0.1.0.0/src/tensor/word_conversion.bend&name=lt_le