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* stat/all: reduce random size and test tolerance to decrease testing time. We were generating a lot of random numbers, which is slow. Decrease the size of those random numbers, and in some cases increase the tolerance to compensate. In a couple cases, pull out code from testFullDist to allow for more fine-grained testing. This decrases: distmat from 4.5s to 0.5s distmv from 24.8s to 9s distuv from 65.2s to 13s samplemv from 2.8s to 1.2s sampleuv from 3.5s to 2.1s
45 lines
847 B
Go
45 lines
847 B
Go
// Copyright ©2015 The gonum 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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package distuv
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import (
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"sort"
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"testing"
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)
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func TestLognormal(t *testing.T) {
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for i, dist := range []LogNormal{
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{
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Mu: 0.1,
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Sigma: 0.3,
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},
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{
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Mu: 0.01,
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Sigma: 0.01,
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},
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{
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Mu: 2,
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Sigma: 0.01,
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},
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} {
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f := dist
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tol := 1e-2
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const n = 1e5
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x := make([]float64, n)
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generateSamples(x, f)
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sort.Float64s(x)
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checkMean(t, i, x, f, tol)
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checkVarAndStd(t, i, x, f, tol)
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checkEntropy(t, i, x, f, tol)
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checkExKurtosis(t, i, x, f, 2e-1)
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checkSkewness(t, i, x, f, 5e-2)
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checkMedian(t, i, x, f, tol)
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checkQuantileCDFSurvival(t, i, x, f, tol)
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checkProbContinuous(t, i, x, f, 1e-10)
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checkProbQuantContinuous(t, i, x, f, tol)
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}
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}
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