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input.mlir

llvm.func @imported_callable(i64) -> i64
func.func private @native_callable(%arg_a: i32) -> i32 {
  return %arg_a : i32
}
dataflow.thread private @thread_0 domain(#dataflow.thread_domain<dense>)(
    %limit: index, %memory: memref<?xindex>) ctrl (%ctrl: none) {
  "loom.spatial_region"(%limit, %memory)
      <{operandSegmentSizes = array<i32: 1, 0, 1, 0>,
        resultSegmentSizes = array<i32: 0, 0>}> ({
    ^bb0(%lim: index, %target: memref<?xindex>):
      %zero = arith.constant 0 : index
      %one = arith.constant 1 : index
      %two = arith.constant 2 : index
      %flag = arith.cmpi ult, %zero, %two : index
      scf.parallel (%iv0) = (%zero) to (%two) step (%one) {
        %mx0 = arith.muli %zero, %two : index
        %ix0 = arith.addi %mx0, %iv0 : index
      memref.store %one, %target[%ix0] : memref<?xindex>
        scf.reduce
      }
      scf.forall (%iv2) in (2) {
        %mx2 = arith.muli %zero, %two : index
        %ix2 = arith.addi %mx2, %iv2 : index
      memref.store %one, %target[%ix2] : memref<?xindex>
      memref.store %one, %target[%ix2] : memref<?xindex>
      }
      "loom.spatial_yield"()
          <{operandSegmentSizes = array<i32: 0, 0>}> : () -> ()
  }) {graph_name = "g_thread_0", source_maps = []} :
      (index, memref<?xindex>) -> ()
  dataflow.thread.yield
}
dataflow.thread private @thread_1 domain(#dataflow.thread_domain<dense>)(
    %limit: index, %memory: memref<?xindex>) ctrl (%ctrl: none) {
  %izero = arith.constant 0 : index
  %ione = arith.constant 1 : index
  memref.store %ione, %memory[%izero] : memref<?xindex>
  dataflow.thread.yield
}