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@ -1187,42 +1187,27 @@ func (ev *evaluator) rangeEval(prepSeries func(labels.Labels, *EvalSeriesHelper)
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bufHelpers[i] = bufHelpers[i][:0]
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}
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for si, series := range matrixes[i] {
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for _, point := range series.Floats {
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if point.T == ts {
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if ev.currentSamples < ev.maxSamples {
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vectors[i] = append(vectors[i], Sample{Metric: series.Metric, F: point.F, T: ts})
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if prepSeries != nil {
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bufHelpers[i] = append(bufHelpers[i], seriesHelpers[i][si])
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}
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// Move input vectors forward so we don't have to re-scan the same
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// past points at the next step.
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matrixes[i][si].Floats = series.Floats[1:]
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ev.currentSamples++
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} else {
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ev.error(ErrTooManySamples(env))
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}
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}
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break
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add := func(si int, s Sample) {
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vectors[i] = append(vectors[i], s)
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if prepSeries != nil {
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bufHelpers[i] = append(bufHelpers[i], seriesHelpers[i][si])
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}
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for _, point := range series.Histograms {
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if point.T == ts {
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if ev.currentSamples < ev.maxSamples {
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vectors[i] = append(vectors[i], Sample{Metric: series.Metric, H: point.H, T: ts})
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if prepSeries != nil {
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bufHelpers[i] = append(bufHelpers[i], seriesHelpers[i][si])
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}
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ev.currentSamples++
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}
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// Move input vectors forward so we don't have to re-scan the same
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// past points at the next step.
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matrixes[i][si].Histograms = series.Histograms[1:]
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ev.currentSamples++
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} else {
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ev.error(ErrTooManySamples(env))
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}
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}
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break
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for si, series := range matrixes[i] {
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if len(series.Floats) > 0 && series.Floats[0].T == ts {
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add(si, Sample{Metric: series.Metric, F: series.Floats[0].F, T: ts})
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// Move input vectors forward so we don't have to re-scan the same
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// past points at the next step.
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matrixes[i][si].Floats = series.Floats[1:]
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}
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if len(series.Histograms) > 0 && series.Histograms[0].T == ts {
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add(si, Sample{Metric: series.Metric, H: series.Histograms[0].H, T: ts})
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matrixes[i][si].Histograms = series.Histograms[1:]
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}
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if ev.currentSamples > ev.maxSamples {
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ev.error(ErrTooManySamples(env))
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}
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}
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args[i] = vectors[i]
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