mirror of https://gitlab.com/yawning/obfs4
Use Vose's Alias Method to sample the weighted distribution.
The weight generation code also was cleaned up (and now can support generating distributions that look like what ScrambleSuit does as a compile time change). Per: http://www.keithschwarz.com/darts-dice-coins/merge-requests/3/head
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/*
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* Copyright (c) 2014, Yawning Angel <yawning at torproject dot org>
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* * Redistributions of source code must retain the above copyright notice,
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* this list of conditions and the following disclaimer.
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*
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* * Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*/
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package obfs4
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import (
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"fmt"
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"testing"
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"github.com/yawning/obfs4/drbg"
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)
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const debug = false
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func TestWeightedDist(t *testing.T) {
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seed, err := drbg.NewSeed()
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if err != nil {
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t.Fatal("failed to generate a DRBG seed:", err)
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}
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const nrTrials = 1000000
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hist := make([]int, 1000)
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w := newWDist(seed, 0, 999)
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if debug {
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// Dump a string representation of the probability table.
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fmt.Println("Table:")
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var sum float64
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for _, weight := range w.weights {
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sum += weight
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}
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for i, weight := range w.weights {
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p := weight / sum
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if p > 0.000001 { // Filter out tiny values.
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fmt.Printf(" [%d]: %f\n", w.minValue+w.values[i], p)
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}
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}
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fmt.Println()
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}
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for i := 0; i < nrTrials; i++ {
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value := w.sample()
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hist[value]++
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}
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if debug {
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fmt.Println("Generated:")
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for value, count := range hist {
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if count != 0 {
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p := float64(count) / float64(nrTrials)
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fmt.Printf(" [%d]: %f (%d)\n", value, p, count)
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}
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}
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}
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}
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/* vim :set ts=4 sw=4 sts=4 noet : */
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