mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-14 16:12:15 +01:00
app/vmselect/promql: increase floating point calculations accuracy by dividing by 1e3
instead of multiplying by 1e-3
This commit is contained in:
parent
13dd915302
commit
db91045348
@ -851,7 +851,7 @@ func evalTime(ec *EvalConfig) []*timeseries {
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timestamps := rv[0].Timestamps
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values := rv[0].Values
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for i, ts := range timestamps {
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values[i] = float64(ts) * 1e-3
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values[i] = float64(ts) / 1e3
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}
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return rv
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}
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@ -4833,10 +4833,10 @@ func TestExecSuccess(t *testing.T) {
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})
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t.Run(`integrate(time())`, func(t *testing.T) {
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t.Parallel()
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q := `integrate(time()*1e-3)`
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q := `integrate(time()/1e3)`
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r := netstorage.Result{
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MetricName: metricNameExpected,
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Values: []float64{180, 220.00000000000003, 260, 300, 340.00000000000006, 380},
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Values: []float64{180, 220.00000000000003, 259.99999999999994, 300, 340.00000000000006, 380},
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Timestamps: timestampsExpected,
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}
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resultExpected := []netstorage.Result{r}
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@ -670,7 +670,7 @@ func derivValues(values []float64, timestamps []int64) {
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values[i] = prevDeriv
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continue
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}
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dt := float64(ts-prevTs) * 1e-3
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dt := float64(ts-prevTs) / 1e3
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prevDeriv = (v - prevValue) / dt
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values[i] = prevDeriv
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prevValue = v
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@ -790,7 +790,7 @@ func linearRegression(rfa *rollupFuncArg) (float64, float64) {
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n = 0
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}
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for i, v := range values {
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dt := float64(timestamps[i]-tFirst) * 1e-3
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dt := float64(timestamps[i]-tFirst) / 1e3
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vSum += v
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tSum += dt
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tvSum += dt * v
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@ -803,7 +803,7 @@ func linearRegression(rfa *rollupFuncArg) (float64, float64) {
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k := (n*tvSum - tSum*vSum) / (n*ttSum - tSum*tSum)
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v := (vSum - k*tSum) / n
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// Adjust v to the last timestamp on the given time range.
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v += k * (float64(timestamps[len(timestamps)-1]-tFirst) * 1e-3)
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v += k * (float64(timestamps[len(timestamps)-1]-tFirst) / 1e3)
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return v, k
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}
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@ -1055,7 +1055,7 @@ func rollupTmin(rfa *rollupFuncArg) float64 {
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minTimestamp = timestamps[i]
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}
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}
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return float64(minTimestamp) * 1e-3
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return float64(minTimestamp) / 1e3
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}
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func rollupTmax(rfa *rollupFuncArg) float64 {
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@ -1074,7 +1074,7 @@ func rollupTmax(rfa *rollupFuncArg) float64 {
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maxTimestamp = timestamps[i]
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}
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}
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return float64(maxTimestamp) * 1e-3
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return float64(maxTimestamp) / 1e3
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}
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func rollupSum(rfa *rollupFuncArg) float64 {
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@ -1303,7 +1303,7 @@ func rollupDerivFast(rfa *rollupFuncArg) float64 {
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vEnd := values[len(values)-1]
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tEnd := timestamps[len(timestamps)-1]
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dv := vEnd - prevValue
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dt := float64(tEnd-prevTimestamp) * 1e-3
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dt := float64(tEnd-prevTimestamp) / 1e3
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return dv / dt
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}
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@ -1329,7 +1329,7 @@ func rollupIderiv(rfa *rollupFuncArg) float64 {
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// So just return nan
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return nan
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}
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return (values[0] - rfa.prevValue) / (float64(timestamps[0]-rfa.prevTimestamp) * 1e-3)
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return (values[0] - rfa.prevValue) / (float64(timestamps[0]-rfa.prevTimestamp) / 1e3)
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}
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vEnd := values[len(values)-1]
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tEnd := timestamps[len(timestamps)-1]
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@ -1353,7 +1353,7 @@ func rollupIderiv(rfa *rollupFuncArg) float64 {
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}
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dv := vEnd - vStart
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dt := tEnd - tStart
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return dv / (float64(dt) * 1e-3)
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return dv / (float64(dt) / 1e3)
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}
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func rollupLifetime(rfa *rollupFuncArg) float64 {
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@ -1363,12 +1363,12 @@ func rollupLifetime(rfa *rollupFuncArg) float64 {
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if len(timestamps) < 2 {
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return nan
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}
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return float64(timestamps[len(timestamps)-1]-timestamps[0]) * 1e-3
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return float64(timestamps[len(timestamps)-1]-timestamps[0]) / 1e3
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}
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if len(timestamps) == 0 {
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return nan
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}
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return float64(timestamps[len(timestamps)-1]-rfa.prevTimestamp) * 1e-3
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return float64(timestamps[len(timestamps)-1]-rfa.prevTimestamp) / 1e3
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}
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func rollupLag(rfa *rollupFuncArg) float64 {
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@ -1378,9 +1378,9 @@ func rollupLag(rfa *rollupFuncArg) float64 {
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if math.IsNaN(rfa.prevValue) {
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return nan
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}
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return float64(rfa.currTimestamp-rfa.prevTimestamp) * 1e-3
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return float64(rfa.currTimestamp-rfa.prevTimestamp) / 1e3
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}
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return float64(rfa.currTimestamp-timestamps[len(timestamps)-1]) * 1e-3
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return float64(rfa.currTimestamp-timestamps[len(timestamps)-1]) / 1e3
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}
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func rollupScrapeInterval(rfa *rollupFuncArg) float64 {
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@ -1390,12 +1390,12 @@ func rollupScrapeInterval(rfa *rollupFuncArg) float64 {
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if len(timestamps) < 2 {
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return nan
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}
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return float64(timestamps[len(timestamps)-1]-timestamps[0]) * 1e-3 / float64(len(timestamps)-1)
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return (float64(timestamps[len(timestamps)-1]-timestamps[0]) / 1e3) / float64(len(timestamps)-1)
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}
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if len(timestamps) == 0 {
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return nan
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}
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return (float64(timestamps[len(timestamps)-1]-rfa.prevTimestamp) * 1e-3) / float64(len(timestamps))
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return (float64(timestamps[len(timestamps)-1]-rfa.prevTimestamp) / 1e3) / float64(len(timestamps))
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}
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func rollupChanges(rfa *rollupFuncArg) float64 {
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@ -1709,7 +1709,7 @@ func rollupIntegrate(rfa *rollupFuncArg) float64 {
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var sum float64
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for i, v := range values {
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timestamp := timestamps[i]
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dt := float64(timestamp-prevTimestamp) * 1e-3
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dt := float64(timestamp-prevTimestamp) / 1e3
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sum += 0.5 * (v + prevValue) * dt
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prevTimestamp = timestamp
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prevValue = v
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@ -139,16 +139,16 @@ func TestDerivValues(t *testing.T) {
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values = append([]float64{}, testValues...)
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derivValues(values, testTimestamps)
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valuesExpected = []float64{-8900, 1111.111111111111, -1916.6666666666665, 2538.461538461538, -1818.1818181818182, 3611.111111111111,
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-43500, 1882.3529411764705, -666.6666666666666, 400, 0, 0}
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valuesExpected = []float64{-8900, 1111.111111111111, -1916.6666666666665, 2538.4615384615386, -1818.1818181818182, 3611.1111111111113,
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-43500, 1882.3529411764705, -666.6666666666667, 400, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// remove counter resets
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values = append([]float64{}, testValues...)
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removeCounterResets(values)
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derivValues(values, testTimestamps)
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valuesExpected = []float64{3400, 1111.111111111111, 1750, 2538.461538461538, 3090.909090909091, 3611.111111111111,
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6000, 1882.3529411764705, 1777.7777777777776, 400, 0, 0}
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valuesExpected = []float64{3400, 1111.111111111111, 1750, 2538.4615384615386, 3090.909090909091, 3611.1111111111113,
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6000, 1882.3529411764705, 1777.7777777777778, 400, 0, 0}
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testRowsEqual(t, values, testTimestamps, valuesExpected, testTimestamps)
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// duplicate timestamps
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@ -914,7 +914,7 @@ func TestRollupFuncsNoWindow(t *testing.T) {
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}
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rc.Timestamps = getTimestamps(rc.Start, rc.End, rc.Step)
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values := rc.Do(nil, testValues, testTimestamps)
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valuesExpected := []float64{0, -2879.310344827587, 558.0608793686592, 422.84569138276544, 0}
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valuesExpected := []float64{0, -2879.310344827587, 558.0608793686595, 422.84569138276544, 0}
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timestampsExpected := []int64{0, 40, 80, 120, 160}
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testRowsEqual(t, values, rc.Timestamps, valuesExpected, timestampsExpected)
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})
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@ -1674,15 +1674,15 @@ func newTransformFuncZeroArgs(f func(tfa *transformFuncArg) float64) transformFu
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}
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func transformStep(tfa *transformFuncArg) float64 {
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return float64(tfa.ec.Step) * 1e-3
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return float64(tfa.ec.Step) / 1e3
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}
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func transformStart(tfa *transformFuncArg) float64 {
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return float64(tfa.ec.Start) * 1e-3
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return float64(tfa.ec.Start) / 1e3
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}
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func transformEnd(tfa *transformFuncArg) float64 {
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return float64(tfa.ec.End) * 1e-3
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return float64(tfa.ec.End) / 1e3
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}
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// copyTimeseriesMetricNames returns a copy of tss with real copy of MetricNames,
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