PodManagementPolicy: appsv1.PodManagementPolicyType("bar"),
			},
		},
	}

	for k, tc := range testcases {
		// apps -> appsv1
		internal1 := &appsv1.StatefulSetSpec{}
		if err := legacyscheme.Scheme.Convert(tc.stsSpec1, internal1, nil); err != nil {
			t.Errorf("%q - %q: unexpected error: %v", k, "from apps to appsv1", err)
		}

		if !apiequality.Semantic.DeepEqual(internal1, tc.stsSepc2) {

            @Override
            public void convert(String notation, NotationConvertResult<? super File> result) throws TypeConversionException {
                result.converted(fileResolver.resolve(notation));
            }
        }), File.class);
        registerConverters();
    }

    @Override
    public Object convert(Object notation, Class<?> type, boolean primitive) throws TypeConversionException {

	if actually != expected {
		t.Fatalf("\nexpected: %s\nactually: %s", expected, actually)
	}
}

func replaceQuoteInSQL(sql string) string {
	// convert single quote into double quote
	sql = strings.ReplaceAll(sql, `'`, `"`)

	// convert dialect special quote into double quote
	switch DB.Dialector.Name() {
	case "postgres":
		sql = strings.ReplaceAll(sql, `"`, `"`)
	case "mysql", "sqlite":

	}
	s += "\n"
	return s
}

// insertLoopReschedChecks inserts rescheduling checks on loop backedges.
func insertLoopReschedChecks(f *Func) {
	// TODO: when split information is recorded in export data, insert checks only on backedges that can be reached on a split-call-free path.

	// Loop reschedule checks compare the stack pointer with
	// the per-g stack bound.  If the pointer appears invalid,

  if (mode_.empty()) return;

  func::FuncOp func = getOperation();
  MLIRContext *ctx = &getContext();

  // Convert binary ops to BiasAdd ops if possible.
  RewritePatternSet patterns(ctx);
  populateWithGenerated(patterns);
  (void)applyPatternsAndFoldGreedily(func, std::move(patterns));

  // Convert unsupported ops to Flex ops.
  auto tf_dialect = ctx->getLoadedDialect<TF::TensorFlowDialect>();

#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"

namespace mlir {
namespace odml {

// Convert mhlo.dot to mhlo.dot_general.
LogicalResult ConvertDotToDotGeneral(mhlo::DotOp op,
                                     PatternRewriter &rewriter) {
  auto lhs_type = mlir::cast<ShapedType>(op.getLhs().getType());

 * </ul>
 *
 * <p>Using a converter:
 *
 * <ul>
 *   <li>Convert one instance in the "forward" direction using {@code converter.convert(a)}.
 *   <li>Convert multiple instances "forward" using {@code converter.convertAll(as)}.
 *   <li>Convert in the "backward" direction using {@code converter.reverse().convert(b)} or {@code
 *       converter.reverse().convertAll(bs)}.

 * </ul>
 *
 * <p>Using a converter:
 *
 * <ul>
 *   <li>Convert one instance in the "forward" direction using {@code converter.convert(a)}.
 *   <li>Convert multiple instances "forward" using {@code converter.convertAll(as)}.
 *   <li>Convert in the "backward" direction using {@code converter.reverse().convert(b)} or {@code
 *       converter.reverse().convertAll(bs)}.

	// merge the collected data and list of adapters.
	adapters.Insert(n.mergePacketsReceivedPerSecondData(packetsReceivedPerSecondData)...)
	adapters.Insert(n.mergePacketsSentPerSecondData(packetsSentPerSecondData)...)
	adapters.Insert(n.mergeBytesReceivedPerSecondData(bytesReceivedPerSecondData)...)
	adapters.Insert(n.mergeBytesSentPerSecondData(bytesSentPerSecondData)...)
	adapters.Insert(n.mergePacketsReceivedDiscardedData(packetsReceivedDiscardedData)...)

			c.tree.WalkPath(prefix, func(k netip.Prefix, v sets.Set[string]) bool {
				serviceCIDRs.Insert(v.UnsortedList()...)
				return false
			})
			c.tree.WalkPrefix(prefix, func(k netip.Prefix, v sets.Set[string]) bool {
				serviceCIDRs.Insert(v.UnsortedList()...)
				return false
			})
		}
	}

	return serviceCIDRs.UnsortedList()
}