)

var mutex *sync.Mutex

func small5() { // ERROR "can inline small5"
	// the Unlock fast path should be inlined
	mutex.Unlock() // ERROR "inlining call to sync\.\(\*Mutex\)\.Unlock"
}

func small6() { // ERROR "can inline small6"
	// the Lock fast path should be inlined
	mutex.Lock() // ERROR "inlining call to sync\.\(\*Mutex\)\.Lock"
}

var once *sync.Once

func small7() { // ERROR "can inline small7"

	echo "BUG: Transition rule on sitea seems to be overwritten"
	exit 1
fi

## Check replication of edit of prefix, tags and status of ILM Expiry Rules
./mc ilm rule edit --id "${id}" --prefix "newprefix" --tags "ntag1=nval1&ntag2=nval2" --disable sitea/bucket
sleep 30s

nprefix=$(./mc ilm rule list siteb/bucket --json | jq '.config.Rules[0].Filter.And.Prefix' | sed 's/"//g')

	typ := &b.Func.Config.Types
	// match: (CMPWconstload {sym} [vo] ptr mem)
	// result: (CMPWconst (MOVWload {sym} [vo.Off()] ptr mem) [vo.Val16()])
	for {
		vo := auxIntToValAndOff(v.AuxInt)
		sym := auxToSym(v.Aux)
		ptr := v_0
		mem := v_1
		v.reset(Op386CMPWconst)
		v.AuxInt = int16ToAuxInt(vo.Val16())
		v0 := b.NewValue0(v.Pos, Op386MOVWload, typ.UInt16)
		v0.AuxInt = int32ToAuxInt(vo.Off())
		v0.Aux = symToAux(sym)

// CHECK:           %[[VAL_5:.*]] = "tfl.reshape"(%[[VAL_0]], %[[VAL_2]]) : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:           %[[VAL_6:.*]] = "tfl.reshape"(%[[VAL_1]], %[[VAL_2]]) : (tensor<1xf32>, tensor<4xi32>) -> tensor<1x1x1x1xf32>
// CHECK:           %[[VAL_7:.*]] = "tfl.concatenation"(%[[VAL_5]], %[[VAL_6]]) <{axis = 3 : i32, fused_activation_function = "NONE"}> : (tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x2xf32>

	// cond: vo.Val() != 0
	// result: (CMPWconst (MOVWload {sym} [vo.Off()] ptr mem) [vo.Val16()])
	for {
		vo := auxIntToValAndOff(v.AuxInt)
		sym := auxToSym(v.Aux)
		ptr := v_0
		mem := v_1
		if !(vo.Val() != 0) {
			break
		}
		v.reset(OpAMD64CMPWconst)
		v.AuxInt = int16ToAuxInt(vo.Val16())
		v0 := b.NewValue0(v.Pos, OpAMD64MOVWload, typ.UInt16)
		v0.AuxInt = int32ToAuxInt(vo.Off())

		result string
	}{
		{JSONSchemaPropsOrBoolHolder{}, `{"val1":false}`},

		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{Schema: &JSONSchemaProps{}}}, `{"val1":{}}`},
		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{Schema: &JSONSchemaProps{Type: "string"}}}, `{"val1":{"type":"string"}}`},
		{JSONSchemaPropsOrBoolHolder{JSPoB: JSONSchemaPropsOrBool{}}, `{"val1":false}`},

			path:  "a.b.c",
			value: "val1",
			want: `
a:
  b:
    c: val1
`,
		},
		{
			desc:     "overwrite",
			baseYAML: testTreeYAML,
			path:     "a.b.c",
			value:    "val2",
			want: `
a:
  b:
    c: val2
    list1:
    - i1: val1
    - i2: val2
    - i3a: key1
      i3b:
        list2:
        - i1: val1
        - i2: val2
        - i3a: key1

			}
		})
	}

	svals := []S{
		{1, "a"},
		{2, "a"},
		{1, "b"},
		{2, "b"},
	}

	gotMin := MinFunc(svals, cmpS)
	wantMin := S{1, "a"}
	if gotMin != wantMin {
		t.Errorf("MinFunc(%v) = %v, want %v", svals, gotMin, wantMin)
	}

	gotMax := MaxFunc(svals, cmpS)
	wantMax := S{2, "a"}
	if gotMax != wantMax {

# CHECK-DAG:       %[[VAL_2:.*]] = arith.constant dense<[1, 0]> : tensor<2xi32>
# CHECK-DAG:       %[[VAL_3:.*]] = "tfl.no_value"() <{value}> : () -> none
# CHECK-DAG:       %[[VAL_6:.*]] = arith.constant dense<0> : tensor<i32>
# CHECK:           %[[VAL_7:.*]]:2 = "tfl.split"(%[[VAL_6]], %[[VAL_0]]) <{num_splits = 2 : i32}> : (tensor<i32>, tensor<2x5x3xf32>) -> (tensor<1x5x3xf32>, tensor<1x5x3xf32>)

// CHECK:           %[[VAL_15:.*]] = "tf.Div"(%[[VAL_13]], %[[VAL_14]]) : (tensor<2x3xi32>, tensor<3xi32>) -> tensor<2x3xi32>
// CHECK:           %[[VAL_16:.*]] = "tf.Select"(%[[VAL_6]], %[[VAL_7]], %[[VAL_15]]) : (tensor<2x3xi1>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32>
// CHECK:           return %[[VAL_16]] : tensor<2x3xi32>
// CHECK:         }
func.func @floordiv_broadcast_i32(%arg0: tensor<2x3xi32>, %arg1: tensor<3xi32>) -> tensor<2x3xi32> {