Carve bundler script cleanup

- random.hpp was only removed from actual include
  directory, but not from patches/files.

- Files list generator didn't ignore config.h file
  which in fact is not needed.
This commit is contained in:
Sergey Sharybin 2013-11-28 13:47:51 +06:00
parent 6dded46a48
commit 1c14ead46f
4 changed files with 1 additions and 778 deletions

@ -30,8 +30,6 @@ sources=`find ./lib -type f -iname '*.cc' -or -iname '*.cpp' -or -iname '*.c' |
headers=`find ./lib -type f -iname '*.h' -or -iname '*.hpp' | sed -r 's/^\.\//\t/' | sort -d`
includes=`find ./include -type f -iname '*.h' -or -iname '*.hpp' | sed -r 's/^\.\//\t/' | sort -d`
mkdir -p include/carve/external/boost
cp patches/files/random.hpp include/carve/external/boost/random.hpp
cp patches/files/config.h include/carve/config.h
cat > CMakeLists.txt << EOF

@ -25,7 +25,6 @@ include/carve/win32.h
include/carve/edge_impl.hpp
include/carve/carve.hpp
include/carve/polyline.hpp
include/carve/config.h
include/carve/face_decl.hpp
include/carve/matrix.hpp
include/carve/classification.hpp
@ -67,7 +66,6 @@ include/carve/djset.hpp
include/carve/vertex_decl.hpp
include/carve/csg_triangulator.hpp
include/carve/poly.hpp
include/carve/external/boost/random.hpp
include/carve/timing.hpp
include/carve/octree_decl.hpp
include/carve/pointset_decl.hpp

@ -1,4 +1,4 @@
#!/bin/sh
find ./include/ -type f | sed -r 's/^\.\///' > files.txt
find ./include/ -type f | sed -r 's/^\.\///' | grep -v /config.h > files.txt
find ./lib/ -type f | sed -r 's/^\.\///' >> files.txt

@ -1,773 +0,0 @@
#pragma once
#include <iostream>
#include <vector>
#include <limits>
#include <stdexcept>
#include <cmath>
#include <algorithm>
#if !defined(_MSC_VER)
#include <stdint.h>
#endif
namespace boost {
// type_traits could help here, but I don't want to depend on type_traits.
template<class T>
struct ptr_helper
{
typedef T value_type;
typedef T& reference_type;
typedef const T& rvalue_type;
static reference_type ref(T& r) { return r; }
static const T& ref(const T& r) { return r; }
};
template<class T>
struct ptr_helper<T&>
{
typedef T value_type;
typedef T& reference_type;
typedef T& rvalue_type;
static reference_type ref(T& r) { return r; }
static const T& ref(const T& r) { return r; }
};
template<class T>
struct ptr_helper<T*>
{
typedef T value_type;
typedef T& reference_type;
typedef T* rvalue_type;
static reference_type ref(T * p) { return *p; }
static const T& ref(const T * p) { return *p; }
};
template<class UniformRandomNumberGenerator>
class pass_through_engine
{
private:
typedef ptr_helper<UniformRandomNumberGenerator> helper_type;
public:
typedef typename helper_type::value_type base_type;
typedef typename base_type::result_type result_type;
explicit pass_through_engine(UniformRandomNumberGenerator rng)
// make argument an rvalue to avoid matching Generator& constructor
: _rng(static_cast<typename helper_type::rvalue_type>(rng))
{ }
result_type min () const { return (base().min)(); }
result_type max () const { return (base().max)(); }
base_type& base() { return helper_type::ref(_rng); }
const base_type& base() const { return helper_type::ref(_rng); }
result_type operator()() { return base()(); }
private:
UniformRandomNumberGenerator _rng;
};
template<class RealType>
class new_uniform_01
{
public:
typedef RealType input_type;
typedef RealType result_type;
// compiler-generated copy ctor and copy assignment are fine
result_type min () const { return result_type(0); }
result_type max () const { return result_type(1); }
void reset() { }
template<class Engine>
result_type operator()(Engine& eng) {
for (;;) {
typedef typename Engine::result_type base_result;
result_type factor = result_type(1) /
(result_type((eng.max)()-(eng.min)()) +
result_type(std::numeric_limits<base_result>::is_integer ? 1 : 0));
result_type result = result_type(eng() - (eng.min)()) * factor;
if (result < result_type(1))
return result;
}
}
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const new_uniform_01&)
{
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, new_uniform_01&)
{
return is;
}
};
template<class UniformRandomNumberGenerator, class RealType>
class backward_compatible_uniform_01
{
typedef ptr_helper<UniformRandomNumberGenerator> traits;
typedef pass_through_engine<UniformRandomNumberGenerator> internal_engine_type;
public:
typedef UniformRandomNumberGenerator base_type;
typedef RealType result_type;
static const bool has_fixed_range = false;
explicit backward_compatible_uniform_01(typename traits::rvalue_type rng)
: _rng(rng),
_factor(result_type(1) /
(result_type((_rng.max)()-(_rng.min)()) +
result_type(std::numeric_limits<base_result>::is_integer ? 1 : 0)))
{
}
// compiler-generated copy ctor and copy assignment are fine
result_type min () const { return result_type(0); }
result_type max () const { return result_type(1); }
typename traits::value_type& base() { return _rng.base(); }
const typename traits::value_type& base() const { return _rng.base(); }
void reset() { }
result_type operator()() {
for (;;) {
result_type result = result_type(_rng() - (_rng.min)()) * _factor;
if (result < result_type(1))
return result;
}
}
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const backward_compatible_uniform_01& u)
{
os << u._rng;
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, backward_compatible_uniform_01& u)
{
is >> u._rng;
return is;
}
private:
typedef typename internal_engine_type::result_type base_result;
internal_engine_type _rng;
result_type _factor;
};
// A definition is required even for integral static constants
template<class UniformRandomNumberGenerator, class RealType>
const bool backward_compatible_uniform_01<UniformRandomNumberGenerator, RealType>::has_fixed_range;
template<class UniformRandomNumberGenerator>
struct select_uniform_01
{
template<class RealType>
struct apply
{
typedef backward_compatible_uniform_01<UniformRandomNumberGenerator, RealType> type;
};
};
template<>
struct select_uniform_01<float>
{
template<class RealType>
struct apply
{
typedef new_uniform_01<float> type;
};
};
template<>
struct select_uniform_01<double>
{
template<class RealType>
struct apply
{
typedef new_uniform_01<double> type;
};
};
template<>
struct select_uniform_01<long double>
{
template<class RealType>
struct apply
{
typedef new_uniform_01<long double> type;
};
};
// Because it is so commonly used: uniform distribution on the real [0..1)
// range. This allows for specializations to avoid a costly int -> float
// conversion plus float multiplication
template<class UniformRandomNumberGenerator = double, class RealType = double>
class uniform_01
: public select_uniform_01<UniformRandomNumberGenerator>::template apply<RealType>::type
{
typedef typename select_uniform_01<UniformRandomNumberGenerator>::template apply<RealType>::type impl_type;
typedef ptr_helper<UniformRandomNumberGenerator> traits;
public:
uniform_01() {}
explicit uniform_01(typename traits::rvalue_type rng)
: impl_type(rng)
{
}
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_01& u)
{
os << static_cast<const impl_type&>(u);
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, uniform_01& u)
{
is >> static_cast<impl_type&>(u);
return is;
}
};
template<class UniformRandomNumberGenerator, class IntType = unsigned long>
class uniform_int_float
{
public:
typedef UniformRandomNumberGenerator base_type;
typedef IntType result_type;
uniform_int_float(base_type rng, IntType min_arg = 0, IntType max_arg = 0xffffffff)
: _rng(rng), _min(min_arg), _max(max_arg)
{
init();
}
result_type min () const { return _min; }
result_type max () const { return _max; }
base_type& base() { return _rng.base(); }
const base_type& base() const { return _rng.base(); }
result_type operator()()
{
return static_cast<IntType>(_rng() * _range) + _min;
}
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_int_float& ud)
{
os << ud._min << " " << ud._max;
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, uniform_int_float& ud)
{
is >> std::ws >> ud._min >> std::ws >> ud._max;
ud.init();
return is;
}
private:
void init()
{
_range = static_cast<base_result>(_max-_min)+1;
}
typedef typename base_type::result_type base_result;
uniform_01<base_type> _rng;
result_type _min, _max;
base_result _range;
};
template<class UniformRandomNumberGenerator, class CharT, class Traits>
std::basic_ostream<CharT,Traits>&
operator<<(
std::basic_ostream<CharT,Traits>& os
, const pass_through_engine<UniformRandomNumberGenerator>& ud
)
{
return os << ud.base();
}
template<class UniformRandomNumberGenerator, class CharT, class Traits>
std::basic_istream<CharT,Traits>&
operator>>(
std::basic_istream<CharT,Traits>& is
, const pass_through_engine<UniformRandomNumberGenerator>& ud
)
{
return is >> ud.base();
}
template<class RealType = double>
class normal_distribution
{
public:
typedef RealType input_type;
typedef RealType result_type;
explicit normal_distribution(const result_type& mean_arg = result_type(0),
const result_type& sigma_arg = result_type(1))
: _mean(mean_arg), _sigma(sigma_arg), _valid(false)
{
//assert(_sigma >= result_type(0));
}
// compiler-generated copy constructor is NOT fine, need to purge cache
normal_distribution(const normal_distribution& other)
: _mean(other._mean), _sigma(other._sigma), _valid(false)
{
}
// compiler-generated copy ctor and assignment operator are fine
RealType mean() const { return _mean; }
RealType sigma() const { return _sigma; }
void reset() { _valid = false; }
template<class Engine>
result_type operator()(Engine& eng)
{
#ifndef BOOST_NO_STDC_NAMESPACE
// allow for Koenig lookup
using std::sqrt; using std::log; using std::sin; using std::cos;
#endif
if(!_valid) {
_r1 = eng();
_r2 = eng();
_cached_rho = sqrt(-result_type(2) * log(result_type(1)-_r2));
_valid = true;
} else {
_valid = false;
}
// Can we have a boost::mathconst please?
const result_type pi = result_type(3.14159265358979323846);
return _cached_rho * (_valid ?
cos(result_type(2)*pi*_r1) :
sin(result_type(2)*pi*_r1))
* _sigma + _mean;
}
#ifndef BOOST_RANDOM_NO_STREAM_OPERATORS
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const normal_distribution& nd)
{
os << nd._mean << " " << nd._sigma << " "
<< nd._valid << " " << nd._cached_rho << " " << nd._r1;
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, normal_distribution& nd)
{
is >> std::ws >> nd._mean >> std::ws >> nd._sigma
>> std::ws >> nd._valid >> std::ws >> nd._cached_rho
>> std::ws >> nd._r1;
return is;
}
#endif
private:
result_type _mean, _sigma;
result_type _r1, _r2, _cached_rho;
bool _valid;
};
// http://www.math.keio.ac.jp/matumoto/emt.html
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
class mersenne_twister
{
public:
typedef UIntType result_type;
static const int word_size = w;
static const int state_size = n;
static const int shift_size = m;
static const int mask_bits = r;
static const UIntType parameter_a = a;
static const int output_u = u;
static const int output_s = s;
static const UIntType output_b = b;
static const int output_t = t;
static const UIntType output_c = c;
static const int output_l = l;
static const bool has_fixed_range = false;
mersenne_twister() { seed(); }
explicit mersenne_twister(const UIntType& value)
{ seed(value); }
template<class It> mersenne_twister(It& first, It last) { seed(first,last); }
template<class Generator> \
explicit mersenne_twister(Generator& gen)
{ seed(gen); }
// compiler-generated copy ctor and assignment operator are fine
void seed() { seed(UIntType(5489)); }
void seed(const UIntType& value)
{
// New seeding algorithm from
// http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/MT2002/emt19937ar.html
// In the previous versions, MSBs of the seed affected only MSBs of the
// state x[].
const UIntType mask = ~0u;
x[0] = value & mask;
for (i = 1; i < n; i++) {
// See Knuth "The Art of Computer Programming" Vol. 2, 3rd ed., page 106
x[i] = (1812433253UL * (x[i-1] ^ (x[i-1] >> (w-2))) + i) & mask;
}
}
// For GCC, moving this function out-of-line prevents inlining, which may
// reduce overall object code size. However, MSVC does not grok
// out-of-line definitions of member function templates.
template<class Generator> \
void seed(Generator& gen)
{
/*#ifndef BOOST_NO_LIMITS_COMPILE_TIME_CONSTANTS
BOOST_STATIC_ASSERT(!std::numeric_limits<result_type>::is_signed);
#endif*/
// I could have used std::generate_n, but it takes "gen" by value
for(int j = 0; j < n; j++)
x[j] = gen();
i = n;
}
template<class It>
void seed(It& first, It last)
{
int j;
for(j = 0; j < n && first != last; ++j, ++first)
x[j] = *first;
i = n;
if(first == last && j < n)
throw std::invalid_argument("mersenne_twister::seed");
}
result_type min () const { return 0; }
result_type max () const
{
// avoid "left shift count >= with of type" warning
result_type res = 0;
for(int j = 0; j < w; ++j)
res |= (1u << j);
return res;
}
result_type operator()();
static bool validation(result_type v) { return val == v; }
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const mersenne_twister& mt)
{
for(int j = 0; j < mt.state_size; ++j)
os << mt.compute(j) << " ";
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, mersenne_twister& mt)
{
for(int j = 0; j < mt.state_size; ++j)
is >> mt.x[j] >> std::ws;
// MSVC (up to 7.1) and Borland (up to 5.64) don't handle the template
// value parameter "n" available from the class template scope, so use
// the static constant with the same value
mt.i = mt.state_size;
return is;
}
friend bool operator==(const mersenne_twister& x, const mersenne_twister& y)
{
for(int j = 0; j < state_size; ++j)
if(x.compute(j) != y.compute(j))
return false;
return true;
}
friend bool operator!=(const mersenne_twister& x, const mersenne_twister& y)
{ return !(x == y); }
private:
// returns x(i-n+index), where index is in 0..n-1
UIntType compute(unsigned int index) const
{
// equivalent to (i-n+index) % 2n, but doesn't produce negative numbers
return x[ (i + n + index) % (2*n) ];
}
void twist(int block);
// state representation: next output is o(x(i))
// x[0] ... x[k] x[k+1] ... x[n-1] x[n] ... x[2*n-1] represents
// x(i-k) ... x(i) x(i+1) ... x(i-k+n-1) x(i-k-n) ... x[i(i-k-1)]
// The goal is to always have x(i-n) ... x(i-1) available for
// operator== and save/restore.
UIntType x[2*n];
int i;
};
// A definition is required even for integral static constants
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const bool mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::has_fixed_range;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::state_size;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::shift_size;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::mask_bits;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::parameter_a;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_u;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_s;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_b;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_t;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const UIntType mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_c;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
const int mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::output_l;
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
void mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::twist(int block)
{
const UIntType upper_mask = (~0u) << r;
const UIntType lower_mask = ~upper_mask;
if(block == 0) {
for(int j = n; j < 2*n; j++) {
UIntType y = (x[j-n] & upper_mask) | (x[j-(n-1)] & lower_mask);
x[j] = x[j-(n-m)] ^ (y >> 1) ^ (y&1 ? a : 0);
}
} else if (block == 1) {
// split loop to avoid costly modulo operations
{ // extra scope for MSVC brokenness w.r.t. for scope
for(int j = 0; j < n-m; j++) {
UIntType y = (x[j+n] & upper_mask) | (x[j+n+1] & lower_mask);
x[j] = x[j+n+m] ^ (y >> 1) ^ (y&1 ? a : 0);
}
}
for(int j = n-m; j < n-1; j++) {
UIntType y = (x[j+n] & upper_mask) | (x[j+n+1] & lower_mask);
x[j] = x[j-(n-m)] ^ (y >> 1) ^ (y&1 ? a : 0);
}
// last iteration
UIntType y = (x[2*n-1] & upper_mask) | (x[0] & lower_mask);
x[n-1] = x[m-1] ^ (y >> 1) ^ (y&1 ? a : 0);
i = 0;
}
}
template<class UIntType, int w, int n, int m, int r, UIntType a, int u,
int s, UIntType b, int t, UIntType c, int l, UIntType val>
inline typename mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::result_type
mersenne_twister<UIntType,w,n,m,r,a,u,s,b,t,c,l,val>::operator()()
{
if(i == n)
twist(0);
else if(i >= 2*n)
twist(1);
// Step 4
UIntType z = x[i];
++i;
z ^= (z >> u);
z ^= ((z << s) & b);
z ^= ((z << t) & c);
z ^= (z >> l);
return z;
}
typedef mersenne_twister<uint32_t,32,351,175,19,0xccab8ee7,11,
7,0x31b6ab00,15,0xffe50000,17, 0xa37d3c92> mt11213b;
// validation by experiment from mt19937.c
typedef mersenne_twister<uint32_t,32,624,397,31,0x9908b0df,11,
7,0x9d2c5680,15,0xefc60000,18, 3346425566U> mt19937;
template<class RealType = double, class Cont = std::vector<RealType> >
class uniform_on_sphere
{
public:
typedef RealType input_type;
typedef Cont result_type;
explicit uniform_on_sphere(int dim = 2) : _container(dim), _dim(dim) { }
// compiler-generated copy ctor and assignment operator are fine
void reset() { _normal.reset(); }
template<class Engine>
const result_type & operator()(Engine& eng)
{
RealType sqsum = 0;
for(typename Cont::iterator it = _container.begin();
it != _container.end();
++it) {
RealType val = _normal(eng);
*it = val;
sqsum += val * val;
}
using std::sqrt;
// for all i: result[i] /= sqrt(sqsum)
std::transform(_container.begin(), _container.end(), _container.begin(),
std::bind2nd(std::divides<RealType>(), sqrt(sqsum)));
return _container;
}
template<class CharT, class Traits>
friend std::basic_ostream<CharT,Traits>&
operator<<(std::basic_ostream<CharT,Traits>& os, const uniform_on_sphere& sd)
{
os << sd._dim;
return os;
}
template<class CharT, class Traits>
friend std::basic_istream<CharT,Traits>&
operator>>(std::basic_istream<CharT,Traits>& is, uniform_on_sphere& sd)
{
is >> std::ws >> sd._dim;
sd._container.resize(sd._dim);
return is;
}
private:
normal_distribution<RealType> _normal;
result_type _container;
int _dim;
};
template<bool have_int, bool want_int>
struct engine_helper;
template<>
struct engine_helper<true, true>
{
template<class Engine, class DistInputType>
struct impl
{
typedef pass_through_engine<Engine> type;
};
};
template<>
struct engine_helper<false, false>
{
template<class Engine, class DistInputType>
struct impl
{
typedef uniform_01<Engine, DistInputType> type;
};
};
template<>
struct engine_helper<true, false>
{
template<class Engine, class DistInputType>
struct impl
{
typedef uniform_01<Engine, DistInputType> type;
};
};
template<>
struct engine_helper<false, true>
{
template<class Engine, class DistInputType>
struct impl
{
typedef uniform_int_float<Engine, unsigned long> type;
};
};
template<class Engine, class Distribution>
class variate_generator
{
private:
typedef pass_through_engine<Engine> decorated_engine;
public:
typedef typename decorated_engine::base_type engine_value_type;
typedef Engine engine_type;
typedef Distribution distribution_type;
typedef typename Distribution::result_type result_type;
variate_generator(Engine e, Distribution d)
: _eng(decorated_engine(e)), _dist(d) { }
result_type operator()() { return _dist(_eng); }
template<class T>
result_type operator()(T value) { return _dist(_eng, value); }
engine_value_type& engine() { return _eng.base().base(); }
const engine_value_type& engine() const { return _eng.base().base(); }
distribution_type& distribution() { return _dist; }
const distribution_type& distribution() const { return _dist; }
result_type min () const { return (distribution().min)(); }
result_type max () const { return (distribution().max)(); }
private:
enum {
have_int = std::numeric_limits<typename decorated_engine::result_type>::is_integer,
want_int = std::numeric_limits<typename Distribution::input_type>::is_integer
};
typedef typename engine_helper<have_int, want_int>::template impl<decorated_engine, typename Distribution::input_type>::type internal_engine_type;
internal_engine_type _eng;
distribution_type _dist;
};
} // namespace boost