[]float64{1, 10000, 1000000, 4000000, 10000000, 40000000},
		monitoring.WithUnit(monitoring.Bytes),
	)
)

func recordXDSClients(version string, delta float64) {
	xdsClientTrackerMutex.Lock()
	defer xdsClientTrackerMutex.Unlock()
	xdsClientTracker[version] += delta
	xdsClients.With(versionTag.Value(version)).Record(xdsClientTracker[version])
}

	// A running goroutine emits a task begin.
	t.RawEvent(go122.EvEventBatch, nil, 1 /*gen*/, 0 /*thread ID*/, 0 /*timestamp*/, 5 /*batch length*/)
	t.RawEvent(go122.EvGoCreate, nil, 0 /*timestamp delta*/, 1 /*go ID*/, 0, 0)

	// Write an invalid batch event for the next generation.
	t.RawEvent(go122.EvEventBatch, nil, 2 /*gen*/, 0 /*thread ID*/, 0 /*timestamp*/, 50 /*batch length (invalid)*/)

//go:nosplit
//go:noinline
func Xadd(ptr *uint32, delta int32) uint32 {
	new := *ptr + uint32(delta)
	*ptr = new
	return new
}

//go:nosplit
//go:noinline
func Xadd64(ptr *uint64, delta int64) uint64 {
	new := *ptr + uint64(delta)
	*ptr = new
	return new
}

//go:nosplit
//go:noinline
func Xadduintptr(ptr *uintptr, delta uintptr) uintptr {
	new := *ptr + delta
	*ptr = new
	return new
}

func (x *Int32) CompareAndSwap(old, new int32) (swapped bool) {
	return CompareAndSwapInt32(&x.v, old, new)
}

// Add atomically adds delta to x and returns the new value.
func (x *Int32) Add(delta int32) (new int32) { return AddInt32(&x.v, delta) }

// And atomically performs a bitwise AND operation on x using the bitmask
// provided as mask and returns the old value.

  ASSERT_THAT(result, IsOkOrFiltered());
  EXPECT_EQ(mlir_bridge_legalize_count.Delta("tf.Acos"), 0);
  EXPECT_THAT(result,
              IncrementedOrFiltered(counts.Delta(kMlirCombinedMlirSuccess), 1));
  EXPECT_THAT(result,
              IncrementedOrFiltered(counts.Delta(kMlirCombinedOldSuccess), 1));
}

TEST(LegalizeWithCombinedBridge,

// See the WaitGroup example.
func (wg *WaitGroup) Add(delta int) {
	if race.Enabled {
		if delta < 0 {
			// Synchronize decrements with Wait.
			race.ReleaseMerge(unsafe.Pointer(wg))
		}
		race.Disable()
		defer race.Enable()
	}
	state := wg.state.Add(uint64(delta) << 32)
	v := int32(state >> 32)
	w := uint32(state)
	if race.Enabled && delta > 0 && v == int32(delta) {
		// The first increment must be synchronized with Wait.

	// histogram.
	mudDegree = 1024
)

type edge struct {
	// At x, the function increases by y.
	x, delta float64
	// Additionally at x is a Dirac delta function with area dirac.
	dirac float64
}

// add adds a uniform function over [l, r] scaled so the total weight
// of the uniform is area. If l==r, this adds a Dirac delta function.
func (d *mud) add(l, r, area float64) {
	if area == 0 {
		return
	}

	if r < l {

}

func (v *Float) appendJSON(b []byte) []byte {
	return strconv.AppendFloat(b, math.Float64frombits(v.f.Load()), 'g', -1, 64)
}

// Add adds delta to v.
func (v *Float) Add(delta float64) {
	for {
		cur := v.f.Load()
		curVal := math.Float64frombits(cur)
		nxtVal := curVal + delta
		nxt := math.Float64bits(nxtVal)
		if v.f.CompareAndSwap(cur, nxt) {
			return
		}
	}
}

// Set sets v to value.

	"istio.io/istio/pkg/util/sets"
)

var knownOptimizationGaps = sets.New(
	"BlackHoleCluster",
	"InboundPassthroughCluster",
	"PassthroughCluster",
)

// compareDiff compares a Delta and SotW XDS response. This allows checking that the Delta XDS
// response returned the optimal result. Checks include correctness checks (e.g. if a config changed,
// we must include it) and possible optimizations (e.g. we sent a config, but it was not changed).

  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

  TF_EXPECT_OK(ExportFromTensorflowDialectToExecutor(*mlir_module_));

  EXPECT_EQ(compilation_status.Delta(kExportSuccess), 1);
  EXPECT_EQ(compilation_status.Delta(kExportFailed), 0);
}

TEST_F(TensorflowDialectToExecutorTest, ErrorsWhenCannotConvert) {
  CellReader<int64_t> compilation_status(kExportStreamzName);