{"Name":"CCMN (immediate)","Bits":"1|0|1|1|1|0|1|0|0|1|0|imm5:5|cond:4|1|0|Rn:5|0|nzcv:4","Arch":"64-bit variant","Syntax":"CCMN <Xn>, #<imm>, #<nzcv>, <cond>","Code":"","Alias":""},

(MUL x (MOVDconst [c])) && c%3 == 0 && isPowerOfTwo64(c/3) => (SLLconst [log64(c/3)] (ADDshiftLL <x.Type> x x [1]))
(MUL x (MOVDconst [c])) && c%5 == 0 && isPowerOfTwo64(c/5) => (SLLconst [log64(c/5)] (ADDshiftLL <x.Type> x x [2]))
(MUL x (MOVDconst [c])) && c%7 == 0 && isPowerOfTwo64(c/7) => (SLLconst [log64(c/7)] (ADDshiftLL <x.Type> (NEG <x.Type> x) x [3]))

			costBudget:              50,
			expectedValidationErr:   "str1 a string",
			expectedRemainingBudget: 46,
		},
		{
			name:                    "runtime cost preserved if messageExpression fails during evaluation",
			message:                 "message not messageExpression",
			messageExpression:       `"str1 " + ["a", "b", "c", "d"][4]`,
			costBudget:              50,

			numAllNodes:  10,
			wantNumNodes: 10,
		},
		{
			name:              "set profile percentageOfNodesToScore and nodes number not more than 50",
			profilePercentage: ptr.To[int32](40),
			numAllNodes:       10,
			wantNumNodes:      10,
		},
		{
			name:         "not set percentageOfNodesToScore and nodes number more than 50",
			numAllNodes:  1000,

		pod3: newPodDiskStats(pod3, resource.MustParse("200Mi"), resource.MustParse("150Mi"), resource.MustParse("250Mi")), // 500 relative to request
		pod4: newPodDiskStats(pod4, resource.MustParse("90Mi"), resource.MustParse("50Mi"), resource.MustParse("10Mi")),    // 50 relative to request

	var wg sync.WaitGroup
	gate := make(chan bool, 10)
	n := 50
	if testing.Short() {
		n = 10
		gate = make(chan bool, 3)
	}
	for i := 0; i < n; i++ {
		gate <- true
		wg.Add(1)
		go func() {
			defer wg.Done()
			defer func() { <-gate }()
			res, err := c.Get(fmt.Sprintf("%s/%d", ts.URL, rand.Intn(50)))
			if err == nil {
				io.Copy(io.Discard, res.Body)
				res.Body.Close()

  %49 = "tf.AddV2"(%48, %44) {device = ""} : (tensor<2x16x1xf32>, tensor<2x16x1xf32>) -> tensor<2x16x1xf32>
  %50 = "tf.Identity"(%49) {device = ""} : (tensor<2x16x1xf32>) -> tensor<2x16x1xf32>
  func.return %50 : tensor<2x16x1xf32>
}

// CHECK-LABEL: func private @__inference_dense_image_warp(
// CHECK-SAME:      %arg0: tensor<2x4x4x1xf32>,

		t.Errorf("mismatch: %s", cmp.Diff(expectedRows, rows))
	}
}

func TestPrintHPA(t *testing.T) {
	minReplicasVal := int32(2)
	targetUtilizationVal := int32(80)
	currentUtilizationVal := int32(50)
	metricLabelSelector, err := metav1.ParseToLabelSelector("label=value")
	if err != nil {
		t.Errorf("unable to parse label selector: %v", err)
	}
	tests := []struct {

"auto" }, "mappingType": 1, "mappingTypes": [ { "name": "value to text", "value": 1 }, { "name": "range to text", "value": 2 } ], "maxDataPoints": 100, "nullPointMode": "connected", "nullText": null, "postfix": "", "postfixFontSize": "50%", "prefix": "", "prefixFontSize": "50%", "rangeMaps": [ { "from": "null", "text": "N/A", "to": "null" } ], "sparkline": { "fillColor": "rgba(31, 118, 189, 0.18)", "full": true, "lineColor": "rgb(31, 120, 193)", "show": true }, "tableColumn": "", "targets": [ { "expr":...

            ]
          },
          "unit": "Bps"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 6,
        "w": 12,
        "x": 0,
        "y": 50
      },
      "id": 76,
      "links": [],
      "options": {
        "legend": {
          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",