Minor doc comment fixes
Signed-off-by: beorn7 <beorn@grafana.com>
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@ -170,7 +170,7 @@ type HistogramOpts struct {
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// All observations with an absolute value of less or equal
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// SparseBucketsZeroThreshold are accumulated into a “zero” bucket. For
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// best results, this should be close to a bucket boundary. This is
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// moste easily accomplished by picking a power of ten. If
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// most easily accomplished by picking a power of ten. If
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// SparseBucketsZeroThreshold is left at zero (or set to a negative
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// value), DefSparseBucketsZeroThreshold is used as the threshold.
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SparseBucketsZeroThreshold float64
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@ -536,6 +536,7 @@ func (h *histogram) observe(v float64, bucket int) {
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// calculated as -0.9999999999999999 rather than -1 and thus
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// yields a key unexpectedly one off. Maybe special-case precise
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// powers of 10.
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// TODO(beorn7): This needs special-casing for ±Inf and NaN.
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sparseKey = int(math.Ceil(math.Log10(math.Abs(v)) * float64(h.sparseResolution)))
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}
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// We increment h.countAndHotIdx so that the counter in the lower
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