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Automation Advisor
K6
metrics
parsePercentile

How to use parsePercentile method of metrics Package

Best K6 code snippet using metrics.parsePercentile

sample.go

Source:sample.go

...124		if staticStat, ok := staticResolvers[stat]; ok {125			result[stat] = staticStat126			continue127		}128		percentile, err := parsePercentile(stat)129		if err != nil {130			return nil, err131		}132		result[stat] = dynamicResolver(percentile)133	}134	return result, nil135}136// parsePercentile is a helper function to parse and validate percentile notations137func parsePercentile(stat string) (float64, error) {138	if !strings.HasPrefix(stat, "p(") || !strings.HasSuffix(stat, ")") {139		return 0, fmt.Errorf("invalid trend stat '%s', unknown format", stat)140	}141	percentile, err := strconv.ParseFloat(stat[2:len(stat)-1], 64)142	if err != nil || (percentile < 0) || (percentile > 100) {143		return 0, fmt.Errorf("invalid percentile trend stat value '%s', provide a number between 0 and 100", stat)144	}145	return percentile, nil146}147// SampleTags is an immutable string[string] map for tags. Once a tag148// set is created, direct modification is prohibited. It has149// copy-on-write semantics and uses pointers for faster comparison150// between maps, since the same tag set is often used for multiple samples.151// All methods should not panic, even if they are called on a nil pointer....

parsePercentile

Using AI Code Generation

1import (2func main() {3    metrics := storage.NewMetrics(nil, nil, nil, nil, nil, nil, nil, nil, nil)4    tagOptions := models.NewTagOptions()5    tagIter := common.NewTagSliceIterator([]common.Tag{6        common.Tag{7            Name: []byte("tag1"),8            Value: []byte("value1"),9        },10    }, tagOptions)11    seriesIter := common.NewSeriesSliceIterator([]common.Series{12        common.Series{13            Name: []byte("name1"),14        },15    })16    seriesList := common.NewSeriesList([]common.Series{17        common.Series{18            Name: []byte("name1"),19        },20    })21    seriesListIter := common.NewSeriesListSliceIterator([]common.SeriesList{22        common.SeriesList{23            Values: []common.Series{24                common.Series{25                    Name: []byte("name1"),26                },27            },28        },29    })30    seriesMap := common.NewSeriesMap(map[string]common.SeriesList{31        "name1": common.SeriesList{32            Values: []common.Series{33                common.Series{34                    Name: []byte("name1"),35                },36            },37        },38    })39    seriesMapIter := common.NewSeriesMapSliceIterator([]common.SeriesMap{40        common.SeriesMap{41            M: map[string]common.SeriesList{42                "name1": common.SeriesList{43                    Values: []common.Series{44                        common.Series{45                            Name: []byte("name1"),46                        },47                    },48                },49            },50        },51    })52    scalar := common.NewScalar(1.1)

parsePercentile

Using AI Code Generation

1import (2func main() {3    r := metrics.NewRegistry()4    metrics.RegisterDebugGCStats(r)5    metrics.RegisterRuntimeMemStats(r)6    scope := metrics.NewPrefixedChildRegistry(r, "scope.")7    metrics.RegisterDebugGCStats(scope)8    metrics.RegisterRuntimeMemStats(scope)9    h := metrics.NewHistogram(metrics.NewExpDecaySample(1028, 0.015))10    metrics.Register("my-histogram", h)11    h.Update(1)12    h.Update(10)13    h.Update(100)14    h.Update(1000)15    fmt.Println(metrics.GetOrRegisterHistogram("my-histogram", nil).Percentiles([]float64{0.5, 0.95, 0.99}))16    fmt.Println(metrics.GetOrRegisterHistogram("scope.my-histogram", nil).Percentiles([]float64{0.5, 0.95, 0.99}))17    for {18        fmt.Println(metrics.GetOrRegisterHistogram("my-histogram", nil).Percentiles([]float64{0.5, 0.95, 0.99}))19        fmt.Println(metrics.GetOrRegisterHistogram("scope.my-histogram", nil).Percentiles([]float64{0.5, 0.95, 0.99}))20        time.Sleep(time.Second)21    }22}

parsePercentile

Using AI Code Generation

1import (2func main() {3	metrics := mdata.NewAggMetrics(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)4	percentile := metrics.ParsePercentile("95.0")5	fmt.Println(percentile)6}7import (8func main() {9	metrics := mdata.NewAggMetrics(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)10	percentile := metrics.ParsePercentile("95.0")11	fmt.Println(percentile)12}13import (14func main() {15	metrics := mdata.NewAggMetrics(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)16	percentile := metrics.ParsePercentile("95.0")17	fmt.Println(percentile)18}19import (20func main() {21	metrics := mdata.NewAggMetrics(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)22	percentile := metrics.ParsePercentile("95.0")23	fmt.Println(percentile)24}25import (26func main() {27	metrics := mdata.NewAggMetrics(0, 0, 0, 0, 0, 0,

parsePercentile

Using AI Code Generation

1import (2func main() {3	fmt.Println(metrics.ParsePercentile("p99.9"))4	fmt.Println(metrics.ParsePercentile("p99"))5	fmt.Println(metrics.ParsePercentile("p99.0"))6	fmt.Println(metrics.ParsePercentile("p99.00"))7	fmt.Println(metrics.ParsePercentile("p99.000"))8	fmt.Println(metrics.ParsePercentile("p99.0000"))9	fmt.Println(metrics.ParsePercentile("p99.00000"))10	fmt.Println(metrics.ParsePercentile("p99.000000"))11	fmt.Println(metrics.ParsePercentile("p99.0000000"))12	fmt.Println(metrics.ParsePercentile("p99.00000000"))13	fmt.Println(metrics.ParsePercentile("p99.000000000"))14	fmt.Println(metrics.ParsePercentile("p99.0000000000"))15	fmt.Println(metrics.ParsePercentile("p99.00000000000"))16	fmt.Println(metrics.ParsePercentile("p99.000000000000"))17	fmt.Println(metrics.ParsePercentile("p99.0000000000000"))18	fmt.Println(metrics.ParsePercentile("p99.00000000000000"))19	fmt.Println(metrics.ParsePercentile("p99.000000000000000"))20	fmt.Println(metrics.ParsePercentile("p99.0000000000000000"))21	fmt.Println(metrics.ParsePercentile("p99.00000000000000000"))22	fmt.Println(metrics.ParsePercentile("p99.000000000000000000"))23	fmt.Println(metrics.ParsePercentile("p99.0000000000000000000"))24	fmt.Println(metrics.ParsePercentile("p99.00000000000000000000"))25	fmt.Println(metrics.ParsePercentile("p99.000000000000000000000"))26	fmt.Println(metrics.ParsePercentile("p99.0000000000000000000000"))27	fmt.Println(metrics.ParsePercentile("p99.00000000000000000000000"))28	fmt.Println(metrics.ParsePercentile("p99.000000000000000000000000"))29	fmt.Println(metrics.ParsePercentile("p99.0000000000000000000000000"))30	fmt.Println(metrics.ParsePercentile("p99.00000000000000000000000000"))31	fmt.Println(metrics.ParsePercentile("p99.000000000000000000000000000"))32	fmt.Println(metrics.ParsePercentile("p99.0000000000000000000000000000"))

parsePercentile

Using AI Code Generation

1import (2func main() {3    h := metrics.NewHistogram(metrics.NewUniformSample(100))4    h.Update(1)5    h.Update(2)6    h.Update(3)7    h.Update(4)8    h.Update(5)9    h.Update(6)10    h.Update(7)11    h.Update(8)12    h.Update(9)13    h.Update(10)14    fmt.Println(metrics.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999}, h))15}

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