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Move test into test/std subdirectory.

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git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@224658 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Eric Fiselier
2014-12-20 01:40:03 +00:00
parent 669a8a5a19
commit a90c6dd460
4817 changed files with 13 additions and 0 deletions
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33
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/assign.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// bernoulli_distribution& operator=(const bernoulli_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::bernoulli_distribution D;
D d1(0.75);
D d2;
assert(d1 != d2);
d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

31
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/copy.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// bernoulli_distribution(const bernoulli_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::bernoulli_distribution D;
D d1(0.75);
D d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

36
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/ctor_double.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// explicit bernoulli_distribution(double p = 0.5);
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
D d;
assert(d.p() == 0.5);
}
{
typedef std::bernoulli_distribution D;
D d(0);
assert(d.p() == 0);
}
{
typedef std::bernoulli_distribution D;
D d(0.75);
assert(d.p() == 0.75);
}
}

28
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/ctor_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// explicit bernoulli_distribution(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type P;
P p(0.25);
D d(p);
assert(d.p() == 0.25);
}
}

36
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/eq.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// bool operator=(const bernoulli_distribution& x,
// const bernoulli_distribution& y);
// bool operator!(const bernoulli_distribution& x,
// const bernoulli_distribution& y);
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
D d1(.25);
D d2(.25);
assert(d1 == d2);
}
{
typedef std::bernoulli_distribution D;
D d1(.28);
D d2(.25);
assert(d1 != d2);
}
}

103
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/eval.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// template<class _URNG> result_type operator()(_URNG& g);
#include <random>
#include <numeric>
#include <vector>
#include <cassert>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::bernoulli_distribution D;
typedef std::minstd_rand G;
G g;
D d(.75);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g));
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)
{
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) < 0.02);
}
{
typedef std::bernoulli_distribution D;
typedef std::minstd_rand G;
G g;
D d(.25);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g));
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)
{
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) < 0.02);
}
}

107
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/eval_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
#include <random>
#include <numeric>
#include <vector>
#include <cassert>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type P;
typedef std::minstd_rand G;
G g;
D d(.75);
P p(.25);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g, p));
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)
{
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) < 0.02);
}
{
typedef std::bernoulli_distribution D;
typedef D::param_type P;
typedef std::minstd_rand G;
G g;
D d(.25);
P p(.75);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g, p));
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)
{
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) < 0.02);
}
}

28
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/get_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// param_type param() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type P;
P p(.125);
D d(p);
assert(d.param() == p);
}
}

40
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/io.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// template <class charT, class traits>
// basic_ostream<charT, traits>&
// operator<<(basic_ostream<charT, traits>& os,
// const bernoulli_distribution& x);
//
// template <class charT, class traits>
// basic_istream<charT, traits>&
// operator>>(basic_istream<charT, traits>& is,
// bernoulli_distribution& x);
#include <random>
#include <sstream>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
D d1(.25);
std::ostringstream os;
os << d1;
std::istringstream is(os.str());
D d2;
is >> d2;
assert(d1 == d2);
}
}

26
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/max.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// result_type max() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
D d(.25);
assert(d.max() == true);
}
}

26
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/min.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// result_type min() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
D d(.5);
assert(d.min() == false);
}
}

30
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/param_assign.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p0(.7);
param_type p;
p = p0;
assert(p.p() == .7);
}
}

29
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/param_copy.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p0(.125);
param_type p = p0;
assert(p.p() == .125);
}
}

34
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/param_ctor.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p;
assert(p.p() == 0.5);
}
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p(0.25);
assert(p.p() == 0.25);
}
}

36
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/param_eq.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p1(0.75);
param_type p2(0.75);
assert(p1 == p2);
}
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
param_type p1(0.75);
param_type p2(0.5);
assert(p1 != p2);
}
}

27
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/param_types.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// class param_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type param_type;
typedef param_type::distribution_type distribution_type;
static_assert((std::is_same<D, distribution_type>::value), "");
}
}

29
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/set_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// void param(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::param_type P;
P p(0.25);
D d(0.75);
d.param(p);
assert(d.param() == p);
}
}

26
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/types.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// class bernoulli_distribution
// {
// typedef bool result_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::bernoulli_distribution D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, bool>::value), "");
}
}