}{{
		expectError: false,
		node:        makeNode("nil-pod-cidr", nil),
	}, {
		expectError: false,
		node:        makeNode("empty-pod-cidr", []string{}),
	}, {
		expectError: false,
		node:        makeNode("single-pod-cidr-4", []string{"192.168.0.0/16"}),
	}, {
		expectError: false,
		node:        makeNode("single-pod-cidr-6", []string{"2000::/10"}),
	},

		{

        island_op.getControl().getType(), island_op.getControlInputs());

    // Move over tf_device.parallel_execute body region into newly the created
    // island.
    execute_island.getBody().takeBody(*execute_block.getParent());

    // In new graph export pipeline, we will update control dependencies in the
    // end of the pipeline. Mostly, it will rely on side effect analysis by

				copy(x, ints)
			}
		})
		b.Run("Ptr", func(b *testing.B) {
			var x []*byte
			for i := 0; i < b.N; i++ {
				x = make([]*byte, len(ptrs))
				copy(x, ptrs)
			}

		})
	})
	b.Run("makecopy", func(b *testing.B) {
		b.Run("Byte", func(b *testing.B) {
			var x []byte
			for i := 0; i < b.N; i++ {
				x = make([]byte, 8*length)
				copy(x, bytes)
			}
		})
		b.Run("Int", func(b *testing.B) {

    OperationState state(item.getLoc(), item.getName());
    types.assign(item.result_type_begin(), item.result_type_end());
    state.addTypes(types);
    for (Region& region : item.getRegions()) {
      state.addRegion()->takeBody(region);
    }
    // Assign existing operands for item.
    operands.assign(item.operand_begin(), item.operand_end());

    // Collect defining ops for existing operands.
    defining_ops.clear();

  // Move region bodies to the new operation.
  for (auto it : llvm::zip(op->getRegions(), new_op->getRegions())) {
    Region &old_region = std::get<0>(it);
    Region &new_region = std::get<1>(it);
    new_region.takeBody(old_region);
  }

  // Replace used results and erase the old op.
  int next_result_idx = 0;
  for (OpResult result : op->getResults()) {
    if (can_eliminate(result)) continue;

    new_types.pop_back();

    llvm::SmallVector<std::unique_ptr<Region>, 1> new_regions;
    for (auto &region : op->getRegions()) {
      new_regions.push_back(std::make_unique<Region>());
      new_regions.back()->takeBody(region);
    }

    llvm::SmallVector<NamedAttribute, 4> attrs;
    if (failed(ReformatOpAttributes(getContext(), op->getAttrs(), attrs)))
      return failure();

    Operation *inner_op;

  for (auto region : llvm::zip(new_parallel_execute_op->getRegions(),
                               parallel_execute_op->getRegions()))
    std::get<0>(region).takeBody(std::get<1>(region));

  // Remove the original parallel_execute.
  parallel_execute_op->dropAllUses();
  parallel_execute.erase();
}

// Replaces TPUExecute with TPUExecuteAndUpdateVariables.

        /*parallel_iterations=*/10,
        /*is_stateless=*/false, /*shape_invariant=*/false);
    new_while.getCond().takeBody(while_op.getCond());
    new_while.getBody().takeBody(while_op.getBody());
    ReplaceReturnOp(new_while.getCond(), rewriter);
    ReplaceReturnOp(new_while.getBody(), rewriter);
    rewriter.replaceOp(while_op, new_while.getResults());

  // function.
  OpBuilder builder(graph_op);
  auto new_graph_op =
      builder.create<GraphOp>(graph_op.getLoc(), new_result_types);
  new_graph_op.getRegion().takeBody(graph_op.getRegion());
  graph_op->replaceAllUsesWith(
      new_graph_op->getResults().drop_back(num_resources));
  graph_op.erase();
  func::ReturnOp return_op = cast<func::ReturnOp>(block.getTerminator());

  // Create new function and extract region body into the function.
  auto outlined_func = builder.create<func::FuncOp>(loc, name, type);
  Region& func_region = outlined_func.getBody();
  func_region.takeBody(region);
  Block& first_block = func_region.front();

  // Replace all external uses with function arguments.
  for (auto it : llvm::enumerate(extern_values)) {