9bdcbe0447
Major integrations and fixes: - Added BACKBEAT SDK integration for P2P operation timing - Implemented beat-aware status tracking for distributed operations - Added Docker secrets support for secure license management - Resolved KACHING license validation via HTTPS/TLS - Updated docker-compose configuration for clean stack deployment - Disabled rollback policies to prevent deployment failures - Added license credential storage (CHORUS-DEV-MULTI-001) Technical improvements: - BACKBEAT P2P operation tracking with phase management - Enhanced configuration system with file-based secrets - Improved error handling for license validation - Clean separation of KACHING and CHORUS deployment stacks 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
78 lines
1.8 KiB
Go
78 lines
1.8 KiB
Go
// Copyright 2009 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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// W.Hormann, G.Derflinger:
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// "Rejection-Inversion to Generate Variates
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// from Monotone Discrete Distributions"
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// http://eeyore.wu-wien.ac.at/papers/96-04-04.wh-der.ps.gz
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package rand
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import "math"
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// A Zipf generates Zipf distributed variates.
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type Zipf struct {
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r *Rand
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imax float64
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v float64
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q float64
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s float64
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oneminusQ float64
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oneminusQinv float64
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hxm float64
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hx0minusHxm float64
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}
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func (z *Zipf) h(x float64) float64 {
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return math.Exp(z.oneminusQ*math.Log(z.v+x)) * z.oneminusQinv
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}
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func (z *Zipf) hinv(x float64) float64 {
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return math.Exp(z.oneminusQinv*math.Log(z.oneminusQ*x)) - z.v
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}
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// NewZipf returns a Zipf variate generator.
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// The generator generates values k ∈ [0, imax]
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// such that P(k) is proportional to (v + k) ** (-s).
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// Requirements: s > 1 and v >= 1.
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func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf {
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z := new(Zipf)
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if s <= 1.0 || v < 1 {
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return nil
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}
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z.r = r
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z.imax = float64(imax)
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z.v = v
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z.q = s
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z.oneminusQ = 1.0 - z.q
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z.oneminusQinv = 1.0 / z.oneminusQ
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z.hxm = z.h(z.imax + 0.5)
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z.hx0minusHxm = z.h(0.5) - math.Exp(math.Log(z.v)*(-z.q)) - z.hxm
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z.s = 1 - z.hinv(z.h(1.5)-math.Exp(-z.q*math.Log(z.v+1.0)))
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return z
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}
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// Uint64 returns a value drawn from the Zipf distribution described
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// by the Zipf object.
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func (z *Zipf) Uint64() uint64 {
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if z == nil {
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panic("rand: nil Zipf")
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}
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k := 0.0
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for {
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r := z.r.Float64() // r on [0,1]
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ur := z.hxm + r*z.hx0minusHxm
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x := z.hinv(ur)
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k = math.Floor(x + 0.5)
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if k-x <= z.s {
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break
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}
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if ur >= z.h(k+0.5)-math.Exp(-math.Log(k+z.v)*z.q) {
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break
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}
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}
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return uint64(k)
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}
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