How to use parseThresholdAggregationMethod method of metrics Package

Best K6 code snippet using metrics.parseThresholdAggregationMethod

thresholds_parser_test.go

Source:thresholds_parser_test.go

...183	for _, testCase := range tests {184		testCase := testCase185		t.Run(testCase.name, func(t *testing.T) {186			t.Parallel()187			gotMethod, gotMethodValue, gotErr := parseThresholdAggregationMethod(testCase.input)188			assert.Equal(t,189				testCase.wantErr,190				gotErr != nil,191				"parseThresholdAggregationMethod() error = %v, wantErr %v", gotErr, testCase.wantErr,192			)193			assert.Equal(t,194				testCase.wantMethod,195				gotMethod,196				"parseThresholdAggregationMethod() gotMethod = %v, want %v", gotMethod, testCase.wantMethod,197			)198			assert.Equal(t,199				testCase.wantMethodValue,200				gotMethodValue,201				"parseThresholdAggregationMethod() gotMethodValue = %v, want %v", gotMethodValue, testCase.wantMethodValue,202			)203		})204	}205}206func BenchmarkParseThresholdAggregationMethod(b *testing.B) {207	for i := 0; i < b.N; i++ {208		parseThresholdAggregationMethod("p(99.9)") // nolint209	}210}211func TestScanThresholdExpression(t *testing.T) {212	t.Parallel()213	tests := []struct {214		name         string215		input        string216		wantMethod   string217		wantOperator string218		wantValue    string219		wantErr      bool220	}{221		{222			name:         "expression with <= operator is scanned",...

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func main() {3	r := mb.NewMetricSetRegistry()4	err := mb.Registry.AddMetricSet("system", "cpu", cpu.New,5		mb.WithHostParser(hostParser),6		mb.DefaultMetricSet(),7	if err != nil {8		panic(err)9	}10	err = mb.Registry.AddMetricSet("system", "core", core.New,11		mb.WithHostParser(hostParser),12		mb.DefaultMetricSet(),13	if err != nil {14		panic(err)15	}16	err = mb.Registry.AddMetricSet("system", "filesystem", filesystem.New,17		mb.WithHostParser(hostParser),18		mb.DefaultMetricSet(),19	if err != nil {20		panic(err)21	}22	err = mb.Registry.AddMetricSet("system", "memory", memory.New,23		mb.WithHostParser(hostParser),24		mb.DefaultMetricSet(),25	if err != nil {26		panic(err)27	}28	err = mb.Registry.AddMetricSet("system",

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func init() {3	if err := mb.Registry.AddMetricSet("windows", "perfmon", New, hostParser); err != nil {4		panic(err)5	}6}7type MetricSet struct {8}9func New(base mb.BaseMetricSet) (mb.MetricSet, error) {10	if err := base.Module().UnpackConfig(&config); err != nil {11	}12	log := logp.NewLogger("windows.perfmon")13	perfmon, err := NewPerfmon(config.Counters, config.GroupMeasurements, config.Processors, log)14	if err != nil {15	}16	return &MetricSet{

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func main() {3	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))4}5import (6func main() {7	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))8}9import (10func main() {11	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))12}13import (14func main() {15	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))16}17import (18func main() {19	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))20}21import (22func main() {23	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))24}25import (26func main() {27	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))28}29import (30func main() {31	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))32}33import (34func main() {35	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))36}37import (38func main() {39	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))40}

parseThresholdAggregationMethod

Using AI Code Generation

1func main() {2  metrics := NewMetrics()3  metrics.parseThresholdAggregationMethod("avg")4}5func main() {6  metrics := NewMetrics()7  metrics.parseThresholdAggregationMethod("avg")8}9func main() {10  metrics := NewMetrics()11  metrics.parseThresholdAggregationMethod("avg")12}13func main() {14  metrics := NewMetrics()15  metrics.parseThresholdAggregationMethod("avg")16}17func main() {18  metrics := NewMetrics()19  metrics.parseThresholdAggregationMethod("avg")20}21func main() {22  metrics := NewMetrics()23  metrics.parseThresholdAggregationMethod("avg")24}25func main() {26  metrics := NewMetrics()27  metrics.parseThresholdAggregationMethod("avg")28}29func main() {30  metrics := NewMetrics()31  metrics.parseThresholdAggregationMethod("avg")32}33func main() {34  metrics := NewMetrics()35  metrics.parseThresholdAggregationMethod("avg")36}37func main() {38  metrics := NewMetrics()39  metrics.parseThresholdAggregationMethod("avg")40}41func main() {42  metrics := NewMetrics()43  metrics.parseThresholdAggregationMethod("avg")44}45func main() {46  metrics := NewMetrics()47  metrics.parseThresholdAggregationMethod("avg")48}

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func main() {3	thres := match.ThresholdAggregationMethod{}4	thres1 := match.ThresholdAggregationMethod{Value: 10}5	thres2 := match.ThresholdAggregationMethod{Value: 10, Comparator: "gt"}6	thres3 := match.ThresholdAggregationMethod{Value: 10, Comparator: "gt", Mode: "avg"}7	thres4 := match.ThresholdAggregationMethod{Value: 10, Comparator: "gt", Mode: "avg", Threshold: 5}8	thres.ParseThresholdAggregationMethod("gt", "avg", 10, 5)9	thres.ParseThresholdAggregationMethod("gt", "avg", 10, 0)10	thres.ParseThresholdAggregationMethod("gt", "avg", 10, 0)11	thres.ParseThresholdAggregationMethod("gt", "avg", 10, 0)12	thres.ParseThresholdAggregationMethod("gt", "avg", 10, 5)13	fmt.Println("Value is", thres.Value)14	fmt.Println("Comparator is", thres.Comparator)15	fmt.Println("Mode is", thres.Mode)16	fmt.Println("Threshold is", thres.Threshold)17}

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func main() {3	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))4}5{Average 0}6import (7func main() {8	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))9}10{Average 0}11import (12func main() {13	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))14}15{Average 0}16import (17func main() {18	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))19}20{Average 0}21import (22func main() {23	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))24}25{Average 0}26import (27func main() {28	fmt.Println(metrics.ParseThresholdAggregationMethod("avg"))29}30{Average 0}31import (32func main()

parseThresholdAggregationMethod

Using AI Code Generation

1import (2func main() {3	if method, err := metrics.ParseThresholdAggregationMethod(aggregationMethod); err != nil {4		fmt.Println("Unknown aggregation method", aggregationMethod)5	} else {6		fmt.Println("Parsed aggregation method", method)7	}8}

parseThresholdAggregationMethod

Using AI Code Generation

1thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")2if err != nil {3    fmt.Println(err)4}5thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")6if err != nil {7    fmt.Println(err)8}9thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")10if err != nil {11    fmt.Println(err)12}13thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")14if err != nil {15    fmt.Println(err)16}17thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")18if err != nil {19    fmt.Println(err)20}21thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")22if err != nil {23    fmt.Println(err)24}25thresholdAggregationMethod, err := metrics.ParseThresholdAggregationMethod("Average")26if err != nil {27    fmt.Println(err)28}

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