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Fix unused parameters and variables

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git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@290459 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Eric Fiselier
2016-12-23 23:37:52 +00:00
parent 17a98d8a92
commit 0e5ebbc77c
120 changed files with 307 additions and 268 deletions
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2
test/std/numerics/rand/rand.device/ctor.pass.cpp
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@@ -49,6 +49,8 @@ void check_random_device_invalid(const std::string &token) {
LIBCPP_ASSERT(false);
} catch (const std::system_error&) {
}
#else
((void)token);
#endif
}

10
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bin/eval.pass.cpp
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@@ -187,7 +187,7 @@ test4()
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
//double dev = std::sqrt(var);
// In this case:
// skew computes to 0./0. == nan
// kurtosis computes to 0./0. == nan
@@ -236,7 +236,7 @@ test5()
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
// double dev = std::sqrt(var);
// In this case:
// skew computes to 0./0. == nan
// kurtosis computes to 0./0. == nan
@@ -389,7 +389,7 @@ test9()
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
// double dev = std::sqrt(var);
// In this case:
// skew computes to 0./0. == nan
// kurtosis computes to 0./0. == nan
@@ -438,7 +438,7 @@ test10()
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
// double dev = std::sqrt(var);
// In this case:
// skew computes to 0./0. == nan
// kurtosis computes to 0./0. == nan
@@ -487,7 +487,7 @@ test11()
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
// double dev = std::sqrt(var);
// In this case:
// skew computes to 0./0. == nan
// kurtosis computes to 0./0. == nan

4
test/std/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.negbin/eval.pass.cpp
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@@ -193,8 +193,8 @@ test4()
kurtosis -= 3;
double x_mean = d.k() * (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt(d.k() * (1 - d.p()));
double x_kurtosis = 6. / d.k() + sqr(d.p()) / (d.k() * (1 - d.p()));
// double x_skew = (2 - d.p()) / std::sqrt(d.k() * (1 - d.p()));
// double x_kurtosis = 6. / d.k() + sqr(d.p()) / (d.k() * (1 - d.p()));
assert(mean == x_mean);
assert(var == x_var);
}