generic-library/cxx
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Beefed up the tests for all of the distributions to include checks against the expected skewness and kurtosis

Browse Source 
git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103910 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Howard Hinnant
2010-05-16 17:56:20 +00:00
parent 9cb70437e2
commit df40dc6c1a
22 changed files with 2182 additions and 297 deletions
Download Patch File Download Diff File Expand all files Collapse all files

36
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/eval.pass.cpp
View File

@@ -40,13 +40,29 @@ int main()
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = d.p();
double x_var = d.p()*(1-d.p());
double x_skew = (1 - 2 * d.p())/std::sqrt(x_var);
double x_kurtosis = (6 * sqr(d.p()) - 6 * d.p() + 1)/x_var;
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
{
typedef std::bernoulli_distribution D;
@@ -60,12 +76,28 @@ int main()
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = d.p();
double x_var = d.p()*(1-d.p());
double x_skew = (1 - 2 * d.p())/std::sqrt(x_var);
double x_kurtosis = (6 * sqr(d.p()) - 6 * d.p() + 1)/x_var;
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
}

36
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/eval_param.pass.cpp
View File

@@ -42,13 +42,29 @@ int main()
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = p.p();
double x_var = p.p()*(1-p.p());
double x_skew = (1 - 2 * p.p())/std::sqrt(x_var);
double x_kurtosis = (6 * sqr(p.p()) - 6 * p.p() + 1)/x_var;
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
{
typedef std::bernoulli_distribution D;
@@ -64,12 +80,28 @@ int main()
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = p.p();
double x_var = p.p()*(1-p.p());
double x_skew = (1 - 2 * p.p())/std::sqrt(x_var);
double x_kurtosis = (6 * sqr(p.p()) - 6 * p.p() + 1)/x_var;
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
}