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-rw-r--r--contrib/llvm-project/libcxx/include/__random/piecewise_linear_distribution.h537
1 files changed, 237 insertions, 300 deletions
diff --git a/contrib/llvm-project/libcxx/include/__random/piecewise_linear_distribution.h b/contrib/llvm-project/libcxx/include/__random/piecewise_linear_distribution.h
index 895f0f2dfe94..43769dc825e6 100644
--- a/contrib/llvm-project/libcxx/include/__random/piecewise_linear_distribution.h
+++ b/contrib/llvm-project/libcxx/include/__random/piecewise_linear_distribution.h
@@ -26,349 +26,286 @@ _LIBCPP_PUSH_MACROS
_LIBCPP_BEGIN_NAMESPACE_STD
-template<class _RealType = double>
-class _LIBCPP_TEMPLATE_VIS piecewise_linear_distribution
-{
+template <class _RealType = double>
+class _LIBCPP_TEMPLATE_VIS piecewise_linear_distribution {
static_assert(__libcpp_random_is_valid_realtype<_RealType>::value,
"RealType must be a supported floating-point type");
public:
- // types
- typedef _RealType result_type;
-
- class _LIBCPP_TEMPLATE_VIS param_type
- {
- vector<result_type> __b_;
- vector<result_type> __densities_;
- vector<result_type> __areas_;
- public:
- typedef piecewise_linear_distribution distribution_type;
-
- _LIBCPP_HIDE_FROM_ABI param_type();
- template<class _InputIteratorB, class _InputIteratorW>
- _LIBCPP_HIDE_FROM_ABI param_type(_InputIteratorB __f_b, _InputIteratorB __l_b,
- _InputIteratorW __f_w);
-#ifndef _LIBCPP_CXX03_LANG
- template<class _UnaryOperation>
- _LIBCPP_HIDE_FROM_ABI param_type(initializer_list<result_type> __bl, _UnaryOperation __fw);
-#endif // _LIBCPP_CXX03_LANG
- template<class _UnaryOperation>
- _LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, result_type __xmin, result_type __xmax,
- _UnaryOperation __fw);
- _LIBCPP_HIDE_FROM_ABI param_type(param_type const&) = default;
- _LIBCPP_HIDE_FROM_ABI param_type & operator=(const param_type& __rhs);
-
- _LIBCPP_HIDE_FROM_ABI
- vector<result_type> intervals() const {return __b_;}
- _LIBCPP_HIDE_FROM_ABI
- vector<result_type> densities() const {return __densities_;}
-
- friend _LIBCPP_HIDE_FROM_ABI
- bool operator==(const param_type& __x, const param_type& __y)
- {return __x.__densities_ == __y.__densities_ && __x.__b_ == __y.__b_;}
- friend _LIBCPP_HIDE_FROM_ABI
- bool operator!=(const param_type& __x, const param_type& __y)
- {return !(__x == __y);}
-
- private:
- _LIBCPP_HIDE_FROM_ABI void __init();
-
- friend class piecewise_linear_distribution;
-
- template <class _CharT, class _Traits, class _RT>
- friend
- basic_ostream<_CharT, _Traits>&
- operator<<(basic_ostream<_CharT, _Traits>& __os,
- const piecewise_linear_distribution<_RT>& __x);
-
- template <class _CharT, class _Traits, class _RT>
- friend
- basic_istream<_CharT, _Traits>&
- operator>>(basic_istream<_CharT, _Traits>& __is,
- piecewise_linear_distribution<_RT>& __x);
- };
+ // types
+ typedef _RealType result_type;
-private:
- param_type __p_;
+ class _LIBCPP_TEMPLATE_VIS param_type {
+ vector<result_type> __b_;
+ vector<result_type> __densities_;
+ vector<result_type> __areas_;
-public:
- // constructor and reset functions
- _LIBCPP_HIDE_FROM_ABI
- piecewise_linear_distribution() {}
- template<class _InputIteratorB, class _InputIteratorW>
- _LIBCPP_HIDE_FROM_ABI
- piecewise_linear_distribution(_InputIteratorB __f_b,
- _InputIteratorB __l_b,
- _InputIteratorW __f_w)
- : __p_(__f_b, __l_b, __f_w) {}
+ public:
+ typedef piecewise_linear_distribution distribution_type;
+ _LIBCPP_HIDE_FROM_ABI param_type();
+ template <class _InputIteratorB, class _InputIteratorW>
+ _LIBCPP_HIDE_FROM_ABI param_type(_InputIteratorB __f_b, _InputIteratorB __l_b, _InputIteratorW __f_w);
#ifndef _LIBCPP_CXX03_LANG
- template<class _UnaryOperation>
- _LIBCPP_HIDE_FROM_ABI
- piecewise_linear_distribution(initializer_list<result_type> __bl,
- _UnaryOperation __fw)
- : __p_(__bl, __fw) {}
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI param_type(initializer_list<result_type> __bl, _UnaryOperation __fw);
#endif // _LIBCPP_CXX03_LANG
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw);
+ _LIBCPP_HIDE_FROM_ABI param_type(param_type const&) = default;
+ _LIBCPP_HIDE_FROM_ABI param_type& operator=(const param_type& __rhs);
- template<class _UnaryOperation>
- _LIBCPP_HIDE_FROM_ABI
- piecewise_linear_distribution(size_t __nw, result_type __xmin,
- result_type __xmax, _UnaryOperation __fw)
- : __p_(__nw, __xmin, __xmax, __fw) {}
-
- _LIBCPP_HIDE_FROM_ABI
- explicit piecewise_linear_distribution(const param_type& __p)
- : __p_(__p) {}
-
- _LIBCPP_HIDE_FROM_ABI
- void reset() {}
-
- // generating functions
- template<class _URNG>
- _LIBCPP_HIDE_FROM_ABI
- result_type operator()(_URNG& __g)
- {return (*this)(__g, __p_);}
- template<class _URNG>
- _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p);
-
- // property functions
- _LIBCPP_HIDE_FROM_ABI
- vector<result_type> intervals() const {return __p_.intervals();}
- _LIBCPP_HIDE_FROM_ABI
- vector<result_type> densities() const {return __p_.densities();}
-
- _LIBCPP_HIDE_FROM_ABI
- param_type param() const {return __p_;}
- _LIBCPP_HIDE_FROM_ABI
- void param(const param_type& __p) {__p_ = __p;}
-
- _LIBCPP_HIDE_FROM_ABI
- result_type min() const {return __p_.__b_.front();}
- _LIBCPP_HIDE_FROM_ABI
- result_type max() const {return __p_.__b_.back();}
-
- friend _LIBCPP_HIDE_FROM_ABI
- bool operator==(const piecewise_linear_distribution& __x,
- const piecewise_linear_distribution& __y)
- {return __x.__p_ == __y.__p_;}
- friend _LIBCPP_HIDE_FROM_ABI
- bool operator!=(const piecewise_linear_distribution& __x,
- const piecewise_linear_distribution& __y)
- {return !(__x == __y);}
+ _LIBCPP_HIDE_FROM_ABI vector<result_type> intervals() const { return __b_; }
+ _LIBCPP_HIDE_FROM_ABI vector<result_type> densities() const { return __densities_; }
+
+ friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) {
+ return __x.__densities_ == __y.__densities_ && __x.__b_ == __y.__b_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); }
+
+ private:
+ _LIBCPP_HIDE_FROM_ABI void __init();
+
+ friend class piecewise_linear_distribution;
template <class _CharT, class _Traits, class _RT>
- friend
- basic_ostream<_CharT, _Traits>&
- operator<<(basic_ostream<_CharT, _Traits>& __os,
- const piecewise_linear_distribution<_RT>& __x);
+ friend basic_ostream<_CharT, _Traits>&
+ operator<<(basic_ostream<_CharT, _Traits>& __os, const piecewise_linear_distribution<_RT>& __x);
template <class _CharT, class _Traits, class _RT>
- friend
- basic_istream<_CharT, _Traits>&
- operator>>(basic_istream<_CharT, _Traits>& __is,
- piecewise_linear_distribution<_RT>& __x);
+ friend basic_istream<_CharT, _Traits>&
+ operator>>(basic_istream<_CharT, _Traits>& __is, piecewise_linear_distribution<_RT>& __x);
+ };
+
+private:
+ param_type __p_;
+
+public:
+ // constructor and reset functions
+ _LIBCPP_HIDE_FROM_ABI piecewise_linear_distribution() {}
+ template <class _InputIteratorB, class _InputIteratorW>
+ _LIBCPP_HIDE_FROM_ABI
+ piecewise_linear_distribution(_InputIteratorB __f_b, _InputIteratorB __l_b, _InputIteratorW __f_w)
+ : __p_(__f_b, __l_b, __f_w) {}
+
+#ifndef _LIBCPP_CXX03_LANG
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI piecewise_linear_distribution(initializer_list<result_type> __bl, _UnaryOperation __fw)
+ : __p_(__bl, __fw) {}
+#endif // _LIBCPP_CXX03_LANG
+
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI
+ piecewise_linear_distribution(size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
+ : __p_(__nw, __xmin, __xmax, __fw) {}
+
+ _LIBCPP_HIDE_FROM_ABI explicit piecewise_linear_distribution(const param_type& __p) : __p_(__p) {}
+
+ _LIBCPP_HIDE_FROM_ABI void reset() {}
+
+ // generating functions
+ template <class _URNG>
+ _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) {
+ return (*this)(__g, __p_);
+ }
+ template <class _URNG>
+ _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p);
+
+ // property functions
+ _LIBCPP_HIDE_FROM_ABI vector<result_type> intervals() const { return __p_.intervals(); }
+ _LIBCPP_HIDE_FROM_ABI vector<result_type> densities() const { return __p_.densities(); }
+
+ _LIBCPP_HIDE_FROM_ABI param_type param() const { return __p_; }
+ _LIBCPP_HIDE_FROM_ABI void param(const param_type& __p) { __p_ = __p; }
+
+ _LIBCPP_HIDE_FROM_ABI result_type min() const { return __p_.__b_.front(); }
+ _LIBCPP_HIDE_FROM_ABI result_type max() const { return __p_.__b_.back(); }
+
+ friend _LIBCPP_HIDE_FROM_ABI bool
+ operator==(const piecewise_linear_distribution& __x, const piecewise_linear_distribution& __y) {
+ return __x.__p_ == __y.__p_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool
+ operator!=(const piecewise_linear_distribution& __x, const piecewise_linear_distribution& __y) {
+ return !(__x == __y);
+ }
+
+ template <class _CharT, class _Traits, class _RT>
+ friend basic_ostream<_CharT, _Traits>&
+ operator<<(basic_ostream<_CharT, _Traits>& __os, const piecewise_linear_distribution<_RT>& __x);
+
+ template <class _CharT, class _Traits, class _RT>
+ friend basic_istream<_CharT, _Traits>&
+ operator>>(basic_istream<_CharT, _Traits>& __is, piecewise_linear_distribution<_RT>& __x);
};
-template<class _RealType>
-typename piecewise_linear_distribution<_RealType>::param_type &
-piecewise_linear_distribution<_RealType>::param_type::operator=
- (const param_type& __rhs)
-{
-// These can throw
- __b_.reserve (__rhs.__b_.size ());
- __densities_.reserve(__rhs.__densities_.size());
- __areas_.reserve (__rhs.__areas_.size());
-
-// These can not throw
- __b_ = __rhs.__b_;
- __densities_ = __rhs.__densities_;
- __areas_ = __rhs.__areas_;
- return *this;
+template <class _RealType>
+typename piecewise_linear_distribution<_RealType>::param_type&
+piecewise_linear_distribution<_RealType>::param_type::operator=(const param_type& __rhs) {
+ // These can throw
+ __b_.reserve(__rhs.__b_.size());
+ __densities_.reserve(__rhs.__densities_.size());
+ __areas_.reserve(__rhs.__areas_.size());
+
+ // These can not throw
+ __b_ = __rhs.__b_;
+ __densities_ = __rhs.__densities_;
+ __areas_ = __rhs.__areas_;
+ return *this;
}
-
-template<class _RealType>
-void
-piecewise_linear_distribution<_RealType>::param_type::__init()
-{
- __areas_.assign(__densities_.size() - 1, result_type());
- result_type __sp = 0;
- for (size_t __i = 0; __i < __areas_.size(); ++__i)
- {
- __areas_[__i] = (__densities_[__i+1] + __densities_[__i]) *
- (__b_[__i+1] - __b_[__i]) * .5;
- __sp += __areas_[__i];
- }
- for (size_t __i = __areas_.size(); __i > 1;)
- {
- --__i;
- __areas_[__i] = __areas_[__i-1] / __sp;
- }
- __areas_[0] = 0;
- for (size_t __i = 1; __i < __areas_.size(); ++__i)
- __areas_[__i] += __areas_[__i-1];
- for (size_t __i = 0; __i < __densities_.size(); ++__i)
- __densities_[__i] /= __sp;
+template <class _RealType>
+void piecewise_linear_distribution<_RealType>::param_type::__init() {
+ __areas_.assign(__densities_.size() - 1, result_type());
+ result_type __sp = 0;
+ for (size_t __i = 0; __i < __areas_.size(); ++__i) {
+ __areas_[__i] = (__densities_[__i + 1] + __densities_[__i]) * (__b_[__i + 1] - __b_[__i]) * .5;
+ __sp += __areas_[__i];
+ }
+ for (size_t __i = __areas_.size(); __i > 1;) {
+ --__i;
+ __areas_[__i] = __areas_[__i - 1] / __sp;
+ }
+ __areas_[0] = 0;
+ for (size_t __i = 1; __i < __areas_.size(); ++__i)
+ __areas_[__i] += __areas_[__i - 1];
+ for (size_t __i = 0; __i < __densities_.size(); ++__i)
+ __densities_[__i] /= __sp;
}
-template<class _RealType>
-piecewise_linear_distribution<_RealType>::param_type::param_type()
- : __b_(2),
- __densities_(2, 1.0),
- __areas_(1, 0.0)
-{
- __b_[1] = 1;
+template <class _RealType>
+piecewise_linear_distribution<_RealType>::param_type::param_type() : __b_(2), __densities_(2, 1.0), __areas_(1, 0.0) {
+ __b_[1] = 1;
}
-template<class _RealType>
-template<class _InputIteratorB, class _InputIteratorW>
+template <class _RealType>
+template <class _InputIteratorB, class _InputIteratorW>
piecewise_linear_distribution<_RealType>::param_type::param_type(
- _InputIteratorB __f_b, _InputIteratorB __l_b, _InputIteratorW __f_w)
- : __b_(__f_b, __l_b)
-{
- if (__b_.size() < 2)
- {
- __b_.resize(2);
- __b_[0] = 0;
- __b_[1] = 1;
- __densities_.assign(2, 1.0);
- __areas_.assign(1, 0.0);
- }
- else
- {
- __densities_.reserve(__b_.size());
- for (size_t __i = 0; __i < __b_.size(); ++__i, ++__f_w)
- __densities_.push_back(*__f_w);
- __init();
- }
+ _InputIteratorB __f_b, _InputIteratorB __l_b, _InputIteratorW __f_w)
+ : __b_(__f_b, __l_b) {
+ if (__b_.size() < 2) {
+ __b_.resize(2);
+ __b_[0] = 0;
+ __b_[1] = 1;
+ __densities_.assign(2, 1.0);
+ __areas_.assign(1, 0.0);
+ } else {
+ __densities_.reserve(__b_.size());
+ for (size_t __i = 0; __i < __b_.size(); ++__i, ++__f_w)
+ __densities_.push_back(*__f_w);
+ __init();
+ }
}
#ifndef _LIBCPP_CXX03_LANG
-template<class _RealType>
-template<class _UnaryOperation>
+template <class _RealType>
+template <class _UnaryOperation>
piecewise_linear_distribution<_RealType>::param_type::param_type(
- initializer_list<result_type> __bl, _UnaryOperation __fw)
- : __b_(__bl.begin(), __bl.end())
-{
- if (__b_.size() < 2)
- {
- __b_.resize(2);
- __b_[0] = 0;
- __b_[1] = 1;
- __densities_.assign(2, 1.0);
- __areas_.assign(1, 0.0);
- }
- else
- {
- __densities_.reserve(__b_.size());
- for (size_t __i = 0; __i < __b_.size(); ++__i)
- __densities_.push_back(__fw(__b_[__i]));
- __init();
- }
+ initializer_list<result_type> __bl, _UnaryOperation __fw)
+ : __b_(__bl.begin(), __bl.end()) {
+ if (__b_.size() < 2) {
+ __b_.resize(2);
+ __b_[0] = 0;
+ __b_[1] = 1;
+ __densities_.assign(2, 1.0);
+ __areas_.assign(1, 0.0);
+ } else {
+ __densities_.reserve(__b_.size());
+ for (size_t __i = 0; __i < __b_.size(); ++__i)
+ __densities_.push_back(__fw(__b_[__i]));
+ __init();
+ }
}
#endif // _LIBCPP_CXX03_LANG
-template<class _RealType>
-template<class _UnaryOperation>
+template <class _RealType>
+template <class _UnaryOperation>
piecewise_linear_distribution<_RealType>::param_type::param_type(
- size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
- : __b_(__nw == 0 ? 2 : __nw + 1)
-{
- size_t __n = __b_.size() - 1;
- result_type __d = (__xmax - __xmin) / __n;
- __densities_.reserve(__b_.size());
- for (size_t __i = 0; __i < __n; ++__i)
- {
- __b_[__i] = __xmin + __i * __d;
- __densities_.push_back(__fw(__b_[__i]));
- }
- __b_[__n] = __xmax;
- __densities_.push_back(__fw(__b_[__n]));
- __init();
+ size_t __nw, result_type __xmin, result_type __xmax, _UnaryOperation __fw)
+ : __b_(__nw == 0 ? 2 : __nw + 1) {
+ size_t __n = __b_.size() - 1;
+ result_type __d = (__xmax - __xmin) / __n;
+ __densities_.reserve(__b_.size());
+ for (size_t __i = 0; __i < __n; ++__i) {
+ __b_[__i] = __xmin + __i * __d;
+ __densities_.push_back(__fw(__b_[__i]));
+ }
+ __b_[__n] = __xmax;
+ __densities_.push_back(__fw(__b_[__n]));
+ __init();
}
-template<class _RealType>
-template<class _URNG>
-_RealType
-piecewise_linear_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
-{
- static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
- typedef uniform_real_distribution<result_type> _Gen;
- result_type __u = _Gen()(__g);
- ptrdiff_t __k = std::upper_bound(__p.__areas_.begin(), __p.__areas_.end(),
- __u) - __p.__areas_.begin() - 1;
- __u -= __p.__areas_[__k];
- const result_type __dk = __p.__densities_[__k];
- const result_type __dk1 = __p.__densities_[__k+1];
- const result_type __deltad = __dk1 - __dk;
- const result_type __bk = __p.__b_[__k];
- if (__deltad == 0)
- return __u / __dk + __bk;
- const result_type __bk1 = __p.__b_[__k+1];
- const result_type __deltab = __bk1 - __bk;
- return (__bk * __dk1 - __bk1 * __dk +
- std::sqrt(__deltab * (__deltab * __dk * __dk + 2 * __deltad * __u))) /
- __deltad;
+template <class _RealType>
+template <class _URNG>
+_RealType piecewise_linear_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p) {
+ static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
+ typedef uniform_real_distribution<result_type> _Gen;
+ result_type __u = _Gen()(__g);
+ ptrdiff_t __k = std::upper_bound(__p.__areas_.begin(), __p.__areas_.end(), __u) - __p.__areas_.begin() - 1;
+ __u -= __p.__areas_[__k];
+ const result_type __dk = __p.__densities_[__k];
+ const result_type __dk1 = __p.__densities_[__k + 1];
+ const result_type __deltad = __dk1 - __dk;
+ const result_type __bk = __p.__b_[__k];
+ if (__deltad == 0)
+ return __u / __dk + __bk;
+ const result_type __bk1 = __p.__b_[__k + 1];
+ const result_type __deltab = __bk1 - __bk;
+ return (__bk * __dk1 - __bk1 * __dk + std::sqrt(__deltab * (__deltab * __dk * __dk + 2 * __deltad * __u))) / __deltad;
}
template <class _CharT, class _Traits, class _RT>
_LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>&
-operator<<(basic_ostream<_CharT, _Traits>& __os,
- const piecewise_linear_distribution<_RT>& __x)
-{
- __save_flags<_CharT, _Traits> __lx(__os);
- typedef basic_ostream<_CharT, _Traits> _OStream;
- __os.flags(_OStream::dec | _OStream::left | _OStream::fixed |
- _OStream::scientific);
- _CharT __sp = __os.widen(' ');
- __os.fill(__sp);
- size_t __n = __x.__p_.__b_.size();
- __os << __n;
- for (size_t __i = 0; __i < __n; ++__i)
- __os << __sp << __x.__p_.__b_[__i];
- __n = __x.__p_.__densities_.size();
- __os << __sp << __n;
- for (size_t __i = 0; __i < __n; ++__i)
- __os << __sp << __x.__p_.__densities_[__i];
- __n = __x.__p_.__areas_.size();
- __os << __sp << __n;
- for (size_t __i = 0; __i < __n; ++__i)
- __os << __sp << __x.__p_.__areas_[__i];
- return __os;
+operator<<(basic_ostream<_CharT, _Traits>& __os, const piecewise_linear_distribution<_RT>& __x) {
+ __save_flags<_CharT, _Traits> __lx(__os);
+ typedef basic_ostream<_CharT, _Traits> _OStream;
+ __os.flags(_OStream::dec | _OStream::left | _OStream::fixed | _OStream::scientific);
+ _CharT __sp = __os.widen(' ');
+ __os.fill(__sp);
+ size_t __n = __x.__p_.__b_.size();
+ __os << __n;
+ for (size_t __i = 0; __i < __n; ++__i)
+ __os << __sp << __x.__p_.__b_[__i];
+ __n = __x.__p_.__densities_.size();
+ __os << __sp << __n;
+ for (size_t __i = 0; __i < __n; ++__i)
+ __os << __sp << __x.__p_.__densities_[__i];
+ __n = __x.__p_.__areas_.size();
+ __os << __sp << __n;
+ for (size_t __i = 0; __i < __n; ++__i)
+ __os << __sp << __x.__p_.__areas_[__i];
+ return __os;
}
template <class _CharT, class _Traits, class _RT>
_LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>&
-operator>>(basic_istream<_CharT, _Traits>& __is,
- piecewise_linear_distribution<_RT>& __x)
-{
- typedef piecewise_linear_distribution<_RT> _Eng;
- typedef typename _Eng::result_type result_type;
- __save_flags<_CharT, _Traits> __lx(__is);
- typedef basic_istream<_CharT, _Traits> _Istream;
- __is.flags(_Istream::dec | _Istream::skipws);
- size_t __n;
- __is >> __n;
- vector<result_type> __b(__n);
- for (size_t __i = 0; __i < __n; ++__i)
- __is >> __b[__i];
- __is >> __n;
- vector<result_type> __densities(__n);
- for (size_t __i = 0; __i < __n; ++__i)
- __is >> __densities[__i];
- __is >> __n;
- vector<result_type> __areas(__n);
- for (size_t __i = 0; __i < __n; ++__i)
- __is >> __areas[__i];
- if (!__is.fail())
- {
- swap(__x.__p_.__b_, __b);
- swap(__x.__p_.__densities_, __densities);
- swap(__x.__p_.__areas_, __areas);
- }
- return __is;
+operator>>(basic_istream<_CharT, _Traits>& __is, piecewise_linear_distribution<_RT>& __x) {
+ typedef piecewise_linear_distribution<_RT> _Eng;
+ typedef typename _Eng::result_type result_type;
+ __save_flags<_CharT, _Traits> __lx(__is);
+ typedef basic_istream<_CharT, _Traits> _Istream;
+ __is.flags(_Istream::dec | _Istream::skipws);
+ size_t __n;
+ __is >> __n;
+ vector<result_type> __b(__n);
+ for (size_t __i = 0; __i < __n; ++__i)
+ __is >> __b[__i];
+ __is >> __n;
+ vector<result_type> __densities(__n);
+ for (size_t __i = 0; __i < __n; ++__i)
+ __is >> __densities[__i];
+ __is >> __n;
+ vector<result_type> __areas(__n);
+ for (size_t __i = 0; __i < __n; ++__i)
+ __is >> __areas[__i];
+ if (!__is.fail()) {
+ swap(__x.__p_.__b_, __b);
+ swap(__x.__p_.__densities_, __densities);
+ swap(__x.__p_.__areas_, __areas);
+ }
+ return __is;
}
_LIBCPP_END_NAMESPACE_STD