From 8c12c6939aab9106db14ec2d11d983bc5b29fb2c Mon Sep 17 00:00:00 2001 From: Niall Sheridan Date: Sun, 7 Jul 2019 21:33:44 +0100 Subject: Switch to modules --- vendor/github.com/beorn7/perks/LICENSE | 20 - .../beorn7/perks/quantile/exampledata.txt | 2388 -------------------- vendor/github.com/beorn7/perks/quantile/stream.go | 316 --- 3 files changed, 2724 deletions(-) delete mode 100644 vendor/github.com/beorn7/perks/LICENSE delete mode 100644 vendor/github.com/beorn7/perks/quantile/exampledata.txt delete mode 100644 vendor/github.com/beorn7/perks/quantile/stream.go (limited to 'vendor/github.com/beorn7/perks') diff --git a/vendor/github.com/beorn7/perks/LICENSE b/vendor/github.com/beorn7/perks/LICENSE deleted file mode 100644 index 339177b..0000000 --- a/vendor/github.com/beorn7/perks/LICENSE +++ /dev/null @@ -1,20 +0,0 @@ -Copyright (C) 2013 Blake Mizerany - -Permission is hereby granted, free of charge, to any person obtaining -a copy of this software and associated documentation files (the -"Software"), to deal in the Software without restriction, including -without limitation the rights to use, copy, modify, merge, publish, -distribute, sublicense, and/or sell copies of the Software, and to -permit persons to whom the Software is furnished to do so, subject to -the following conditions: - -The above copyright notice and this permission notice shall be -included in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND -NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE -LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION -OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION -WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/vendor/github.com/beorn7/perks/quantile/exampledata.txt b/vendor/github.com/beorn7/perks/quantile/exampledata.txt deleted file mode 100644 index 1602287..0000000 --- a/vendor/github.com/beorn7/perks/quantile/exampledata.txt +++ /dev/null @@ -1,2388 +0,0 @@ -8 -5 -26 -12 -5 -235 -13 -6 -28 -30 -3 -3 -3 -3 -5 -2 -33 -7 -2 -4 -7 -12 -14 -5 -8 -3 -10 -4 -5 -3 -6 -6 -209 -20 -3 -10 -14 -3 -4 -6 -8 -5 -11 -7 -3 -2 -3 -3 -212 -5 -222 -4 -10 -10 -5 -6 -3 -8 -3 -10 -254 -220 -2 -3 -5 -24 -5 -4 -222 -7 -3 -3 -223 -8 -15 -12 -14 -14 -3 -2 -2 -3 -13 -3 -11 -4 -4 -6 -5 -7 -13 -5 -3 -5 -2 -5 -3 -5 -2 -7 -15 -17 -14 -3 -6 -6 -3 -17 -5 -4 -7 -6 -4 -4 -8 -6 -8 -3 -9 -3 -6 -3 -4 -5 -3 -3 -660 -4 -6 -10 -3 -6 -3 -2 -5 -13 -2 -4 -4 -10 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This is meaningful when the streams represent the same type of -// data. See Merge and Samples. -// -// For more detailed information about the algorithm used, see: -// -// Effective Computation of Biased Quantiles over Data Streams -// -// http://www.cs.rutgers.edu/~muthu/bquant.pdf -package quantile - -import ( - "math" - "sort" -) - -// Sample holds an observed value and meta information for compression. JSON -// tags have been added for convenience. -type Sample struct { - Value float64 `json:",string"` - Width float64 `json:",string"` - Delta float64 `json:",string"` -} - -// Samples represents a slice of samples. It implements sort.Interface. -type Samples []Sample - -func (a Samples) Len() int { return len(a) } -func (a Samples) Less(i, j int) bool { return a[i].Value < a[j].Value } -func (a Samples) Swap(i, j int) { a[i], a[j] = a[j], a[i] } - -type invariant func(s *stream, r float64) float64 - -// NewLowBiased returns an initialized Stream for low-biased quantiles -// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but -// error guarantees can still be given even for the lower ranks of the data -// distribution. -// -// The provided epsilon is a relative error, i.e. the true quantile of a value -// returned by a query is guaranteed to be within (1±Epsilon)*Quantile. -// -// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error -// properties. -func NewLowBiased(epsilon float64) *Stream { - ƒ := func(s *stream, r float64) float64 { - return 2 * epsilon * r - } - return newStream(ƒ) -} - -// NewHighBiased returns an initialized Stream for high-biased quantiles -// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but -// error guarantees can still be given even for the higher ranks of the data -// distribution. -// -// The provided epsilon is a relative error, i.e. the true quantile of a value -// returned by a query is guaranteed to be within 1-(1±Epsilon)*(1-Quantile). -// -// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error -// properties. -func NewHighBiased(epsilon float64) *Stream { - ƒ := func(s *stream, r float64) float64 { - return 2 * epsilon * (s.n - r) - } - return newStream(ƒ) -} - -// NewTargeted returns an initialized Stream concerned with a particular set of -// quantile values that are supplied a priori. Knowing these a priori reduces -// space and computation time. The targets map maps the desired quantiles to -// their absolute errors, i.e. the true quantile of a value returned by a query -// is guaranteed to be within (Quantile±Epsilon). -// -// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error properties. -func NewTargeted(targetMap map[float64]float64) *Stream { - // Convert map to slice to avoid slow iterations on a map. - // ƒ is called on the hot path, so converting the map to a slice - // beforehand results in significant CPU savings. - targets := targetMapToSlice(targetMap) - - ƒ := func(s *stream, r float64) float64 { - var m = math.MaxFloat64 - var f float64 - for _, t := range targets { - if t.quantile*s.n <= r { - f = (2 * t.epsilon * r) / t.quantile - } else { - f = (2 * t.epsilon * (s.n - r)) / (1 - t.quantile) - } - if f < m { - m = f - } - } - return m - } - return newStream(ƒ) -} - -type target struct { - quantile float64 - epsilon float64 -} - -func targetMapToSlice(targetMap map[float64]float64) []target { - targets := make([]target, 0, len(targetMap)) - - for quantile, epsilon := range targetMap { - t := target{ - quantile: quantile, - epsilon: epsilon, - } - targets = append(targets, t) - } - - return targets -} - -// Stream computes quantiles for a stream of float64s. It is not thread-safe by -// design. Take care when using across multiple goroutines. -type Stream struct { - *stream - b Samples - sorted bool -} - -func newStream(ƒ invariant) *Stream { - x := &stream{ƒ: ƒ} - return &Stream{x, make(Samples, 0, 500), true} -} - -// Insert inserts v into the stream. -func (s *Stream) Insert(v float64) { - s.insert(Sample{Value: v, Width: 1}) -} - -func (s *Stream) insert(sample Sample) { - s.b = append(s.b, sample) - s.sorted = false - if len(s.b) == cap(s.b) { - s.flush() - } -} - -// Query returns the computed qth percentiles value. If s was created with -// NewTargeted, and q is not in the set of quantiles provided a priori, Query -// will return an unspecified result. -func (s *Stream) Query(q float64) float64 { - if !s.flushed() { - // Fast path when there hasn't been enough data for a flush; - // this also yields better accuracy for small sets of data. - l := len(s.b) - if l == 0 { - return 0 - } - i := int(math.Ceil(float64(l) * q)) - if i > 0 { - i -= 1 - } - s.maybeSort() - return s.b[i].Value - } - s.flush() - return s.stream.query(q) -} - -// Merge merges samples into the underlying streams samples. This is handy when -// merging multiple streams from separate threads, database shards, etc. -// -// ATTENTION: This method is broken and does not yield correct results. The -// underlying algorithm is not capable of merging streams correctly. -func (s *Stream) Merge(samples Samples) { - sort.Sort(samples) - s.stream.merge(samples) -} - -// Reset reinitializes and clears the list reusing the samples buffer memory. -func (s *Stream) Reset() { - s.stream.reset() - s.b = s.b[:0] -} - -// Samples returns stream samples held by s. -func (s *Stream) Samples() Samples { - if !s.flushed() { - return s.b - } - s.flush() - return s.stream.samples() -} - -// Count returns the total number of samples observed in the stream -// since initialization. -func (s *Stream) Count() int { - return len(s.b) + s.stream.count() -} - -func (s *Stream) flush() { - s.maybeSort() - s.stream.merge(s.b) - s.b = s.b[:0] -} - -func (s *Stream) maybeSort() { - if !s.sorted { - s.sorted = true - sort.Sort(s.b) - } -} - -func (s *Stream) flushed() bool { - return len(s.stream.l) > 0 -} - -type stream struct { - n float64 - l []Sample - ƒ invariant -} - -func (s *stream) reset() { - s.l = s.l[:0] - s.n = 0 -} - -func (s *stream) insert(v float64) { - s.merge(Samples{{v, 1, 0}}) -} - -func (s *stream) merge(samples Samples) { - // TODO(beorn7): This tries to merge not only individual samples, but - // whole summaries. The paper doesn't mention merging summaries at - // all. Unittests show that the merging is inaccurate. Find out how to - // do merges properly. - var r float64 - i := 0 - for _, sample := range samples { - for ; i < len(s.l); i++ { - c := s.l[i] - if c.Value > sample.Value { - // Insert at position i. - s.l = append(s.l, Sample{}) - copy(s.l[i+1:], s.l[i:]) - s.l[i] = Sample{ - sample.Value, - sample.Width, - math.Max(sample.Delta, math.Floor(s.ƒ(s, r))-1), - // TODO(beorn7): How to calculate delta correctly? - } - i++ - goto inserted - } - r += c.Width - } - s.l = append(s.l, Sample{sample.Value, sample.Width, 0}) - i++ - inserted: - s.n += sample.Width - r += sample.Width - } - s.compress() -} - -func (s *stream) count() int { - return int(s.n) -} - -func (s *stream) query(q float64) float64 { - t := math.Ceil(q * s.n) - t += math.Ceil(s.ƒ(s, t) / 2) - p := s.l[0] - var r float64 - for _, c := range s.l[1:] { - r += p.Width - if r+c.Width+c.Delta > t { - return p.Value - } - p = c - } - return p.Value -} - -func (s *stream) compress() { - if len(s.l) < 2 { - return - } - x := s.l[len(s.l)-1] - xi := len(s.l) - 1 - r := s.n - 1 - x.Width - - for i := len(s.l) - 2; i >= 0; i-- { - c := s.l[i] - if c.Width+x.Width+x.Delta <= s.ƒ(s, r) { - x.Width += c.Width - s.l[xi] = x - // Remove element at i. - copy(s.l[i:], s.l[i+1:]) - s.l = s.l[:len(s.l)-1] - xi -= 1 - } else { - x = c - xi = i - } - r -= c.Width - } -} - -func (s *stream) samples() Samples { - samples := make(Samples, len(s.l)) - copy(samples, s.l) - return samples -} -- cgit v1.2.3