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package series
import (
"github.com/network-quality/goresponsiveness/utilities"
"golang.org/x/exp/constraints"
)
func SeriesStandardDeviation[Data utilities.Number, Bucket constraints.Ordered](s WindowSeries[Data, Bucket]) (bool, float64) {
complete := s.Complete()
inputValues := s.GetValues()
actualValues := utilities.Filter(inputValues, func(d utilities.Optional[Data]) bool {
return utilities.IsSome[Data](d)
})
values := utilities.Fmap(actualValues, func(d utilities.Optional[Data]) Data { return utilities.GetSome[Data](d) })
return complete, utilities.CalculateStandardDeviation[Data](values)
}
func Percentile[Data utilities.Number, Bucket constraints.Ordered](s WindowSeries[Data, Bucket], p uint) (bool, Data) {
complete := s.Complete()
inputValues := s.GetValues()
actualValues := utilities.Filter(inputValues, func(d utilities.Optional[Data]) bool {
return utilities.IsSome[Data](d)
})
values := utilities.Fmap(actualValues, func(d utilities.Optional[Data]) Data { return utilities.GetSome[Data](d) })
return complete, utilities.CalculatePercentile(values, p)
}
func AllSequentialIncreasesLessThan[Data utilities.Number, Bucket constraints.Ordered](s WindowSeries[Data, Bucket], limit float64,
) (bool, bool, float64) {
complete := s.Complete()
inputValues := s.GetValues()
actualValues := utilities.Filter(utilities.Reverse(inputValues), func(d utilities.Optional[Data]) bool {
return utilities.IsSome[Data](d)
})
values := utilities.Fmap(actualValues, func(d utilities.Optional[Data]) Data { return utilities.GetSome[Data](d) })
result, actualLimit := utilities.AllSequentialIncreasesLessThan(values, limit)
return complete, result, actualLimit
}
func CalculateAverage[Data utilities.Number, Bucket constraints.Ordered](s WindowSeries[Data, Bucket]) (bool, float64) {
complete := s.Complete()
inputValues := s.GetValues()
actualValues := utilities.Filter(inputValues, func(d utilities.Optional[Data]) bool {
return utilities.IsSome[Data](d)
})
values := utilities.Fmap(actualValues, func(d utilities.Optional[Data]) Data { return utilities.GetSome[Data](d) })
return complete, utilities.CalculateAverage(values)
}
func TrimmedMean[Data utilities.Number, Bucket constraints.Ordered](s WindowSeries[Data, Bucket], trim int) (bool, float64, []Data) {
complete := s.Complete()
inputValues := s.GetValues()
actualValues := utilities.Filter(inputValues, func(d utilities.Optional[Data]) bool {
return utilities.IsSome[Data](d)
})
values := utilities.Fmap(actualValues, func(d utilities.Optional[Data]) Data { return utilities.GetSome[Data](d) })
trimmedMean, trimmedElements := utilities.TrimmedMean(values, trim)
return complete, trimmedMean, trimmedElements
}
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