// Or is an aggregate Matcher that requires at least one matches return true.
func Or(ms ...Matcher) Matcher {
	return func(i echo.Instance) bool {
		for _, m := range ms {
			if m != nil && m(i) {
				return true
			}
		}
		return false
	}
}

// Not negates the given matcher. Example:
//
//	Not(Naked())
func Not(m Matcher) Matcher {
	return func(i echo.Instance) bool {
		return !m(i)
	}
}

//
//go:nosplit
func releaseLockRankAndM(rank lockRank) {
	releasem(getg().m)
}

func lockWithRankMayAcquire(l *mutex, rank lockRank) {
}

//go:nosplit
func assertLockHeld(l *mutex) {
}

//go:nosplit
func assertRankHeld(r lockRank) {
}

//go:nosplit
func worldStopped() {
}

//go:nosplit
func worldStarted() {
}

//go:nosplit

}

func (f fakeInstance) Config() echo.Config {
	cfg := echo.Config(f)
	_ = cfg.FillDefaults(nil)
	return cfg
}

func (f fakeInstance) ServiceName() string {
	return f.Config().Service
}

func (f fakeInstance) NamespaceName() string {
	return f.Config().NamespaceName()
}

func (f fakeInstance) ServiceAccountName() string {
	return f.Config().ServiceAccountName()
}

    pm.addNestedPass<mlir::func::FuncOp>(mlir::createCanonicalizerPass());
    if (quantization_options.op_set() == OpSet::XLA) {
      pm.addNestedPass<mlir::func::FuncOp>(
          mlir::quant::CreateReplaceCastHacksWithTFXLAOpsPass());
    }
    pm.addNestedPass<mlir::func::FuncOp>(mlir::createCSEPass());
  }
  pm.addNestedPass<mlir::func::FuncOp>(mlir::quant::CreateOptimizePass());
}

	_ noCopy
	v uint32
}

// Load atomically loads and returns the value stored in x.
func (x *Bool) Load() bool { return LoadUint32(&x.v) != 0 }

// Store atomically stores val into x.
func (x *Bool) Store(val bool) { StoreUint32(&x.v, b32(val)) }

// Swap atomically stores new into x and returns the previous value.
func (x *Bool) Swap(new bool) (old bool) { return SwapUint32(&x.v, b32(new)) != 0 }

  func.return %1 : tensor<16x128xf32>
  // CHECK: return %0 : tensor<16x128xf32>
}

// CHECK-LABEL: FuseTransposeFCLhsToBatchMatmul
func.func @FuseTransposeFCLhsToBatchMatmul(%arg0: tensor<1024x4xf32>, %arg1: tensor<8x1024xf32>, %arg2: tensor<4x256xf32>) -> tensor<8x256xf32> {

func.func @foldDiv() -> tensor<2xf32> {
  %0 = stablehlo.constant dense<[2.0, 3.0]> : tensor<2xf32>
  %1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32>
  %2 = stablehlo.divide %0, %1 : tensor<2xf32>
  return %2 : tensor<2xf32>
}

// CHECK-LABEL: foldDiv
// CHECK: stablehlo.constant dense<5.000000e-01> : tensor<2xf32>

// -----

func.func @foldDivLHSSplat() -> tensor<2xf32> {

  // CHECK: return %[[MM]] : tensor<1x1000xf32>

}

func.func @snapshot(%arg0: tensor<3xi32>) -> tensor<3xi32> {
  %0 = "tf.Snapshot"(%arg0) : (tensor<3xi32>) -> tensor<3xi32>
  func.return %0 : tensor<3xi32>
  // Should be converted to Identity and then from Identity to value
  // CHECK-LABEL: snapshot
  // CHECK:  return %arg0 : tensor<3xi32>
}

func.func @stop_gradient(%arg0: tensor<3xi32>) -> tensor<3xi32> {

}

func (d *naughtyDisk) LastConn() time.Time {
	return d.disk.LastConn()
}

func (d *naughtyDisk) IsLocal() bool {
	return d.disk.IsLocal()
}

func (d *naughtyDisk) Endpoint() Endpoint {
	return d.disk.Endpoint()
}

func (d *naughtyDisk) Hostname() string {
	return d.disk.Hostname()
}

func (d *naughtyDisk) Healing() *healingTracker {
	return d.disk.Healing()
}

		m := NewHashTrieMap[string, int]()
		m.keyHash = func(_ unsafe.Pointer, _ uintptr) uintptr {
			return 0
		}
		return m
	})
}

func testHashTrieMap(t *testing.T, newMap func() *HashTrieMap[string, int]) {
	t.Run("LoadEmpty", func(t *testing.T) {
		m := newMap()

		for _, s := range testData {
			expectMissing(t, s, 0)(m.Load(s))
		}
	})
	t.Run("LoadOrStore", func(t *testing.T) {
		m := newMap()