PR libstdc++/58098
* include/bits/random.h (cauchy_distribution<>::min,
extreme_value_distribution<>::min, normal_distribution<>::min,
student_t_distribution<>::min): Fix.
* include/ext/random (normal_mv_distribution<>::min): Likewise.
* testsuite/26_numerics/random/cauchy_distribution/cons/parms.cc:
Adjust.
testsuite/26_numerics/random/cauchy_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/extreme_value_distribution/cons/
parms.cc: Likewise.
testsuite/26_numerics/random/extreme_value_distribution/cons/
default.cc: Likewise.
* testsuite/26_numerics/random/normal_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/normal_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/student_t_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/student_t_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/normal_mv_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/normal_mv_distribution/cons/default.cc: Likewise.
* testsuite/26_numerics/random/exponential_distribution/cons/parms.cc:
Minor tweak.
* testsuite/26_numerics/random/exponential_distribution/cons/default.cc:
Likewise.
* testsuite/ext/von_mises_distribution/*: Move to...
* testsuite/ext/random/von_mises_distribution/*: ... here.
* testsuite/ext/triangular_distribution/*: Move to...
* testsuite/ext/random/triangular_distribution/*: ... here.
git-svn-id: svn+ssh://gcc.gnu.org/svn/gcc/trunk@201562
138bc75d-0d04-0410-961f-
82ee72b054a4
+2013-08-07 Paolo Carlini <paolo.carlini@oracle.com>
+
+ PR libstdc++/58098
+ * include/bits/random.h (cauchy_distribution<>::min,
+ extreme_value_distribution<>::min, normal_distribution<>::min,
+ student_t_distribution<>::min): Fix.
+ * include/ext/random (normal_mv_distribution<>::min): Likewise.
+ * testsuite/26_numerics/random/cauchy_distribution/cons/parms.cc:
+ Adjust.
+ testsuite/26_numerics/random/cauchy_distribution/cons/default.cc:
+ Likewise.
+ * testsuite/26_numerics/random/extreme_value_distribution/cons/
+ parms.cc: Likewise.
+ testsuite/26_numerics/random/extreme_value_distribution/cons/
+ default.cc: Likewise.
+ * testsuite/26_numerics/random/normal_distribution/cons/parms.cc:
+ Likewise.
+ * testsuite/26_numerics/random/normal_distribution/cons/default.cc:
+ Likewise.
+ * testsuite/26_numerics/random/student_t_distribution/cons/parms.cc:
+ Likewise.
+ * testsuite/26_numerics/random/student_t_distribution/cons/default.cc:
+ Likewise.
+ * testsuite/ext/random/normal_mv_distribution/cons/parms.cc: Likewise.
+ * testsuite/ext/random/normal_mv_distribution/cons/default.cc: Likewise.
+
+ * testsuite/26_numerics/random/exponential_distribution/cons/parms.cc:
+ Minor tweak.
+ * testsuite/26_numerics/random/exponential_distribution/cons/default.cc:
+ Likewise.
+
+ * testsuite/ext/von_mises_distribution/*: Move to...
+ * testsuite/ext/random/von_mises_distribution/*: ... here.
+ * testsuite/ext/triangular_distribution/*: Move to...
+ * testsuite/ext/random/triangular_distribution/*: ... here.
+
2013-08-06 Caroline Tice <cmtice@google.com>
* fragment.am: Add XTEMPLATE_FLAGS.
*/
result_type
min() const
- { return std::numeric_limits<result_type>::min(); }
+ { return std::numeric_limits<result_type>::lowest(); }
/**
* @brief Returns the least upper bound value of the distribution.
*/
result_type
min() const
- { return std::numeric_limits<result_type>::min(); }
+ { return std::numeric_limits<result_type>::lowest(); }
/**
* @brief Returns the least upper bound value of the distribution.
*/
result_type
min() const
- { return std::numeric_limits<result_type>::min(); }
+ { return std::numeric_limits<result_type>::lowest(); }
/**
* @brief Returns the least upper bound value of the distribution.
*/
result_type
min() const
- { return std::numeric_limits<result_type>::min(); }
+ { return std::numeric_limits<result_type>::lowest(); }
/**
* @brief Returns the least upper bound value of the distribution.
result_type
min() const
{ result_type __res;
- __res.fill(std::numeric_limits<_RealType>::min());
+ __res.fill(std::numeric_limits<_RealType>::lowest());
return __res; }
/**
VERIFY( u.a() == 0.0 );
VERIFY( u.b() == 1.0 );
typedef std::cauchy_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.a() == 5.0 );
VERIFY( u.b() == 2.0 );
typedef std::cauchy_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
std::exponential_distribution<> u;
VERIFY( u.lambda() == 1.0 );
typedef std::exponential_distribution<>::result_type result_type;
- VERIFY( u.min() == 0 );
+ VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
std::exponential_distribution<> u(0.5);
VERIFY( u.lambda() == 0.5 );
typedef std::exponential_distribution<>::result_type result_type;
- VERIFY( u.min() == 0 );
+ VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.a() == 0.0 );
VERIFY( u.b() == 1.0 );
typedef std::extreme_value_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.a() == 5.0 );
VERIFY( u.b() == 2.0 );
typedef std::extreme_value_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.mean() == 0.0 );
VERIFY( u.stddev() == 1.0 );
typedef std::normal_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.mean() == 5.0 );
VERIFY( u.stddev() == 2.0 );
typedef std::normal_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
std::student_t_distribution<> u;
VERIFY( u.n() == 1.0 );
typedef std::student_t_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
std::student_t_distribution<> u(1.5);
VERIFY( u.n() == 1.5 );
typedef std::student_t_distribution<>::result_type result_type;
- VERIFY( u.min() == std::numeric_limits<result_type>::min() );
+ VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
VERIFY( u.varcov()[1] == 0.0 );
VERIFY( u.varcov()[2] == 1.0 );
typedef __gnu_cxx::normal_mv_distribution<2>::result_type result_type;
- VERIFY( u.min()[0] == std::numeric_limits<result_type::value_type>::min() );
+ VERIFY( u.min()[0] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[0] == std::numeric_limits<result_type::value_type>::max() );
- VERIFY( u.min()[1] == std::numeric_limits<result_type::value_type>::min() );
+ VERIFY( u.min()[1] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[1] == std::numeric_limits<result_type::value_type>::max() );
}
VERIFY( u.varcov()[1] == 0.0 );
VERIFY( u.varcov()[2] == 3.0 );
typedef __gnu_cxx::normal_mv_distribution<2>::result_type result_type;
- VERIFY( u.min()[0] == std::numeric_limits<result_type::value_type>::min() );
+ VERIFY( u.min()[0] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[0] == std::numeric_limits<result_type::value_type>::max() );
- VERIFY( u.min()[1] == std::numeric_limits<result_type::value_type>::min() );
+ VERIFY( u.min()[1] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[1] == std::numeric_limits<result_type::value_type>::max() );
}