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/*
* Copyright (c) 2014, Yawning Angel <yawning at torproject dot org>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
package probdist
import (
"fmt"
"testing"
"git.torproject.org/pluggable-transports/obfs4.git/common/drbg"
)
const debug = false
func TestWeightedDist(t *testing.T) {
seed, err := drbg.NewSeed()
if err != nil {
t.Fatal("failed to generate a DRBG seed:", err)
}
const nrTrials = 1000000
hist := make([]int, 1000)
w := New(seed, 0, 999, true)
if debug {
// Dump a string representation of the probability table.
fmt.Println("Table:")
var sum float64
for _, weight := range w.weights {
sum += weight
}
for i, weight := range w.weights {
p := weight / sum
if p > 0.000001 { // Filter out tiny values.
fmt.Printf(" [%d]: %f\n", w.minValue+w.values[i], p)
}
}
fmt.Println()
}
for i := 0; i < nrTrials; i++ {
value := w.Sample()
hist[value]++
}
if debug {
fmt.Println("Generated:")
for value, count := range hist {
if count != 0 {
p := float64(count) / float64(nrTrials)
fmt.Printf(" [%d]: %f (%d)\n", value, p, count)
}
}
}
}
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