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https://github.com/octoleo/restic.git
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946c8399e2
Exclude minio-go for now (pin to 3.x.y).
71 lines
2.0 KiB
Go
71 lines
2.0 KiB
Go
// Copyright 2017 Google Inc. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package distribution
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import (
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"log"
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"math"
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"sort"
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"sync/atomic"
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)
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// D is a distribution. Methods of D can be called concurrently by multiple
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// goroutines.
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type D struct {
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buckets []uint64
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}
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// New creates a new distribution capable of holding values from 0 to n-1.
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func New(n int) *D {
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return &D{
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buckets: make([]uint64, n),
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}
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}
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// Record records value v to the distribution.
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// To help with distributions with long tails, if v is larger than the maximum value,
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// Record records the maximum value instead.
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// If v is negative, Record panics.
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func (d *D) Record(v int) {
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if v < 0 {
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log.Panicf("Record: value out of range: %d", v)
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} else if v >= len(d.buckets) {
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v = len(d.buckets) - 1
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}
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atomic.AddUint64(&d.buckets[v], 1)
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}
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// Percentile computes the p-th percentile of the distribution where
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// p is between 0 and 1.
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func (d *D) Percentile(p float64) int {
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// NOTE: This implementation uses the nearest-rank method.
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// https://en.wikipedia.org/wiki/Percentile#The_nearest-rank_method
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if p < 0 || p > 1 {
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log.Panicf("Percentile: percentile out of range: %f", p)
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}
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bucketSums := make([]uint64, len(d.buckets))
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var sum uint64
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for i := range bucketSums {
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sum += atomic.LoadUint64(&d.buckets[i])
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bucketSums[i] = sum
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}
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total := bucketSums[len(bucketSums)-1]
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target := uint64(math.Ceil(float64(total) * p))
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return sort.Search(len(bucketSums), func(i int) bool { return bucketSums[i] >= target })
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}
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