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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
      %wr0 = scf.while (%wa0 = %zero) : (index) -> index {
        %wc0 = arith.cmpi ult, %wa0, %two : index
        scf.condition(%wc0) %wa0 : index
      } do {
      ^bb0(%wb0: index):
      memref.store %one, %target[%zero] : memref<?xindex>
      %wr2 = scf.while (%wa2 = %zero) : (index) -> index {
        %wc2 = arith.cmpi ult, %wa2, %two : index
        scf.condition(%wc2) %wa2 : index
      } do {
      ^bb0(%wb2: index):
      memref.store %one, %target[%zero] : memref<?xindex>
        %wn2 = arith.addi %wb2, %one : index
        scf.yield %wn2 : index
      }
        %wn0 = arith.addi %wb0, %one : index
        scf.yield %wn0 : index
      }
      scf.if %flag {
      %ld5 = memref.load %target[%zero] : memref<?xindex>
      %ad5 = arith.addi %ld5, %one : index
      memref.store %ad5, %target[%zero] : memref<?xindex>
      } else {
      scf.for %iv6 = %zero to %two step %one {
      %ld7 = memref.load %target[%zero] : memref<?xindex>
      %ad7 = arith.addi %ld7, %one : index
      memref.store %ad7, %target[%zero] : memref<?xindex>
      }
      %ld8 = memref.load %target[%zero] : memref<?xindex>
      %ad8 = arith.addi %ld8, %one : index
      memref.store %ad8, %target[%zero] : memref<?xindex>
      }
      "loom.spatial_yield"()
          <{operandSegmentSizes = array<i32: 0, 0>}> : () -> ()
  }) {graph_name = "g_thread_0", source_maps = []} :
      (index, memref<?xindex>) -> ()
  dataflow.thread.yield
}