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}

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.