Refactor the unsupported CXX11/Core module to internal headers only.

This commit is contained in:
Gael Guennebaud
2016-04-26 11:20:25 +02:00
parent 4a164d2c46
commit 3dddd34133
16 changed files with 42 additions and 72 deletions

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FILE(GLOB Eigen_CXX11_util_SRCS "*.h")
INSTALL(FILES
${Eigen_CXX11_util_SRCS}
DESTINATION ${INCLUDE_INSTALL_DIR}/unsupported/Eigen/CXX11/src/util COMPONENT Devel
)

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CXX11META_H
#define EIGEN_CXX11META_H
#include <vector>
#include "EmulateArray.h"
// Emulate the cxx11 functionality that we need if the compiler doesn't support it.
// Visual studio 2015 doesn't advertise itself as cxx11 compliant, although it
// supports enough of the standard for our needs
#if __cplusplus > 199711L || EIGEN_COMP_MSVC >= 1900
#include "CXX11Workarounds.h"
namespace Eigen {
namespace internal {
/** \internal
* \file CXX11/util/CXX11Meta.h
* This file contains generic metaprogramming classes which are not specifically related to Eigen.
* This file expands upon Core/util/Meta.h and adds support for C++11 specific features.
*/
template<typename... tt>
struct type_list { constexpr static int count = sizeof...(tt); };
template<typename t, typename... tt>
struct type_list<t, tt...> { constexpr static int count = sizeof...(tt) + 1; typedef t first_type; };
template<typename T, T... nn>
struct numeric_list { constexpr static std::size_t count = sizeof...(nn); };
template<typename T, T n, T... nn>
struct numeric_list<T, n, nn...> { constexpr static std::size_t count = sizeof...(nn) + 1; constexpr static T first_value = n; };
/* numeric list constructors
*
* equivalencies:
* constructor result
* typename gen_numeric_list<int, 5>::type numeric_list<int, 0,1,2,3,4>
* typename gen_numeric_list_reversed<int, 5>::type numeric_list<int, 4,3,2,1,0>
* typename gen_numeric_list_swapped_pair<int, 5,1,2>::type numeric_list<int, 0,2,1,3,4>
* typename gen_numeric_list_repeated<int, 0, 5>::type numeric_list<int, 0,0,0,0,0>
*/
template<typename T, std::size_t n, T start = 0, T... ii> struct gen_numeric_list : gen_numeric_list<T, n-1, start, start + n-1, ii...> {};
template<typename T, T start, T... ii> struct gen_numeric_list<T, 0, start, ii...> { typedef numeric_list<T, ii...> type; };
template<typename T, std::size_t n, T start = 0, T... ii> struct gen_numeric_list_reversed : gen_numeric_list_reversed<T, n-1, start, ii..., start + n-1> {};
template<typename T, T start, T... ii> struct gen_numeric_list_reversed<T, 0, start, ii...> { typedef numeric_list<T, ii...> type; };
template<typename T, std::size_t n, T a, T b, T start = 0, T... ii> struct gen_numeric_list_swapped_pair : gen_numeric_list_swapped_pair<T, n-1, a, b, start, (start + n-1) == a ? b : ((start + n-1) == b ? a : (start + n-1)), ii...> {};
template<typename T, T a, T b, T start, T... ii> struct gen_numeric_list_swapped_pair<T, 0, a, b, start, ii...> { typedef numeric_list<T, ii...> type; };
template<typename T, std::size_t n, T V, T... nn> struct gen_numeric_list_repeated : gen_numeric_list_repeated<T, n-1, V, V, nn...> {};
template<typename T, T V, T... nn> struct gen_numeric_list_repeated<T, 0, V, nn...> { typedef numeric_list<T, nn...> type; };
/* list manipulation: concatenate */
template<class a, class b> struct concat;
template<typename... as, typename... bs> struct concat<type_list<as...>, type_list<bs...>> { typedef type_list<as..., bs...> type; };
template<typename T, T... as, T... bs> struct concat<numeric_list<T, as...>, numeric_list<T, bs...> > { typedef numeric_list<T, as..., bs...> type; };
template<typename... p> struct mconcat;
template<typename a> struct mconcat<a> { typedef a type; };
template<typename a, typename b> struct mconcat<a, b> : concat<a, b> {};
template<typename a, typename b, typename... cs> struct mconcat<a, b, cs...> : concat<a, typename mconcat<b, cs...>::type> {};
/* list manipulation: extract slices */
template<int n, typename x> struct take;
template<int n, typename a, typename... as> struct take<n, type_list<a, as...>> : concat<type_list<a>, typename take<n-1, type_list<as...>>::type> {};
template<int n> struct take<n, type_list<>> { typedef type_list<> type; };
template<typename a, typename... as> struct take<0, type_list<a, as...>> { typedef type_list<> type; };
template<> struct take<0, type_list<>> { typedef type_list<> type; };
template<typename T, int n, T a, T... as> struct take<n, numeric_list<T, a, as...>> : concat<numeric_list<T, a>, typename take<n-1, numeric_list<T, as...>>::type> {};
template<typename T, int n> struct take<n, numeric_list<T>> { typedef numeric_list<T> type; };
template<typename T, T a, T... as> struct take<0, numeric_list<T, a, as...>> { typedef numeric_list<T> type; };
template<typename T> struct take<0, numeric_list<T>> { typedef numeric_list<T> type; };
template<typename T, int n, T... ii> struct h_skip_helper_numeric;
template<typename T, int n, T i, T... ii> struct h_skip_helper_numeric<T, n, i, ii...> : h_skip_helper_numeric<T, n-1, ii...> {};
template<typename T, T i, T... ii> struct h_skip_helper_numeric<T, 0, i, ii...> { typedef numeric_list<T, i, ii...> type; };
template<typename T, int n> struct h_skip_helper_numeric<T, n> { typedef numeric_list<T> type; };
template<typename T> struct h_skip_helper_numeric<T, 0> { typedef numeric_list<T> type; };
template<int n, typename... tt> struct h_skip_helper_type;
template<int n, typename t, typename... tt> struct h_skip_helper_type<n, t, tt...> : h_skip_helper_type<n-1, tt...> {};
template<typename t, typename... tt> struct h_skip_helper_type<0, t, tt...> { typedef type_list<t, tt...> type; };
template<int n> struct h_skip_helper_type<n> { typedef type_list<> type; };
template<> struct h_skip_helper_type<0> { typedef type_list<> type; };
template<int n>
struct h_skip {
template<typename T, T... ii>
constexpr static inline typename h_skip_helper_numeric<T, n, ii...>::type helper(numeric_list<T, ii...>) { return typename h_skip_helper_numeric<T, n, ii...>::type(); }
template<typename... tt>
constexpr static inline typename h_skip_helper_type<n, tt...>::type helper(type_list<tt...>) { return typename h_skip_helper_type<n, tt...>::type(); }
};
template<int n, typename a> struct skip { typedef decltype(h_skip<n>::helper(a())) type; };
template<int start, int count, typename a> struct slice : take<count, typename skip<start, a>::type> {};
/* list manipulation: retrieve single element from list */
template<int n, typename x> struct get;
template<int n, typename a, typename... as> struct get<n, type_list<a, as...>> : get<n-1, type_list<as...>> {};
template<typename a, typename... as> struct get<0, type_list<a, as...>> { typedef a type; };
template<typename T, int n, T a, T... as> struct get<n, numeric_list<T, a, as...>> : get<n-1, numeric_list<T, as...>> {};
template<typename T, T a, T... as> struct get<0, numeric_list<T, a, as...>> { constexpr static T value = a; };
/* always get type, regardless of dummy; good for parameter pack expansion */
template<typename T, T dummy, typename t> struct id_numeric { typedef t type; };
template<typename dummy, typename t> struct id_type { typedef t type; };
/* equality checking, flagged version */
template<typename a, typename b> struct is_same_gf : is_same<a, b> { constexpr static int global_flags = 0; };
/* apply_op to list */
template<
bool from_left, // false
template<typename, typename> class op,
typename additional_param,
typename... values
>
struct h_apply_op_helper { typedef type_list<typename op<values, additional_param>::type...> type; };
template<
template<typename, typename> class op,
typename additional_param,
typename... values
>
struct h_apply_op_helper<true, op, additional_param, values...> { typedef type_list<typename op<additional_param, values>::type...> type; };
template<
bool from_left,
template<typename, typename> class op,
typename additional_param
>
struct h_apply_op
{
template<typename... values>
constexpr static typename h_apply_op_helper<from_left, op, additional_param, values...>::type helper(type_list<values...>)
{ return typename h_apply_op_helper<from_left, op, additional_param, values...>::type(); }
};
template<
template<typename, typename> class op,
typename additional_param,
typename a
>
struct apply_op_from_left { typedef decltype(h_apply_op<true, op, additional_param>::helper(a())) type; };
template<
template<typename, typename> class op,
typename additional_param,
typename a
>
struct apply_op_from_right { typedef decltype(h_apply_op<false, op, additional_param>::helper(a())) type; };
/* see if an element is in a list */
template<
template<typename, typename> class test,
typename check_against,
typename h_list,
bool last_check_positive = false
>
struct contained_in_list;
template<
template<typename, typename> class test,
typename check_against,
typename h_list
>
struct contained_in_list<test, check_against, h_list, true>
{
constexpr static bool value = true;
};
template<
template<typename, typename> class test,
typename check_against,
typename a,
typename... as
>
struct contained_in_list<test, check_against, type_list<a, as...>, false> : contained_in_list<test, check_against, type_list<as...>, test<check_against, a>::value> {};
template<
template<typename, typename> class test,
typename check_against
EIGEN_TPL_PP_SPEC_HACK_DEFC(typename, empty)
>
struct contained_in_list<test, check_against, type_list<EIGEN_TPL_PP_SPEC_HACK_USE(empty)>, false> { constexpr static bool value = false; };
/* see if an element is in a list and check for global flags */
template<
template<typename, typename> class test,
typename check_against,
typename h_list,
int default_flags = 0,
bool last_check_positive = false,
int last_check_flags = default_flags
>
struct contained_in_list_gf;
template<
template<typename, typename> class test,
typename check_against,
typename h_list,
int default_flags,
int last_check_flags
>
struct contained_in_list_gf<test, check_against, h_list, default_flags, true, last_check_flags>
{
constexpr static bool value = true;
constexpr static int global_flags = last_check_flags;
};
template<
template<typename, typename> class test,
typename check_against,
typename a,
typename... as,
int default_flags,
int last_check_flags
>
struct contained_in_list_gf<test, check_against, type_list<a, as...>, default_flags, false, last_check_flags> : contained_in_list_gf<test, check_against, type_list<as...>, default_flags, test<check_against, a>::value, test<check_against, a>::global_flags> {};
template<
template<typename, typename> class test,
typename check_against
EIGEN_TPL_PP_SPEC_HACK_DEFC(typename, empty),
int default_flags,
int last_check_flags
>
struct contained_in_list_gf<test, check_against, type_list<EIGEN_TPL_PP_SPEC_HACK_USE(empty)>, default_flags, false, last_check_flags> { constexpr static bool value = false; constexpr static int global_flags = default_flags; };
/* generic reductions */
template<
typename Reducer,
typename... Ts
> struct reduce;
template<
typename Reducer
> struct reduce<Reducer>
{
constexpr static inline int run() { return Reducer::Identity; }
};
template<
typename Reducer,
typename A
> struct reduce<Reducer, A>
{
constexpr static inline A run(A a) { return a; }
};
template<
typename Reducer,
typename A,
typename... Ts
> struct reduce<Reducer, A, Ts...>
{
constexpr static inline auto run(A a, Ts... ts) -> decltype(Reducer::run(a, reduce<Reducer, Ts...>::run(ts...))) {
return Reducer::run(a, reduce<Reducer, Ts...>::run(ts...));
}
};
/* generic binary operations */
struct sum_op {
template<typename A, typename B> EIGEN_DEVICE_FUNC constexpr static inline auto run(A a, B b) -> decltype(a + b) { return a + b; }
static constexpr int Identity = 0;
};
struct product_op {
template<typename A, typename B> EIGEN_DEVICE_FUNC constexpr static inline auto run(A a, B b) -> decltype(a * b) { return a * b; }
static constexpr int Identity = 1;
};
struct logical_and_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a && b) { return a && b; } };
struct logical_or_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a || b) { return a || b; } };
struct equal_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a == b) { return a == b; } };
struct not_equal_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a != b) { return a != b; } };
struct lesser_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a < b) { return a < b; } };
struct lesser_equal_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a <= b) { return a <= b; } };
struct greater_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a > b) { return a > b; } };
struct greater_equal_op { template<typename A, typename B> constexpr static inline auto run(A a, B b) -> decltype(a >= b) { return a >= b; } };
/* generic unary operations */
struct not_op { template<typename A> constexpr static inline auto run(A a) -> decltype(!a) { return !a; } };
struct negation_op { template<typename A> constexpr static inline auto run(A a) -> decltype(-a) { return -a; } };
struct greater_equal_zero_op { template<typename A> constexpr static inline auto run(A a) -> decltype(a >= 0) { return a >= 0; } };
/* reductions for lists */
// using auto -> return value spec makes ICC 13.0 and 13.1 crash here, so we have to hack it
// together in front... (13.0 doesn't work with array_prod/array_reduce/... anyway, but 13.1
// does...
template<typename... Ts>
constexpr inline decltype(reduce<product_op, Ts...>::run((*((Ts*)0))...)) arg_prod(Ts... ts)
{
return reduce<product_op, Ts...>::run(ts...);
}
template<typename... Ts>
constexpr inline decltype(reduce<sum_op, Ts...>::run((*((Ts*)0))...)) arg_sum(Ts... ts)
{
return reduce<sum_op, Ts...>::run(ts...);
}
/* reverse arrays */
template<typename Array, int... n>
constexpr inline Array h_array_reverse(Array arr, numeric_list<int, n...>)
{
return {{array_get<sizeof...(n) - n - 1>(arr)...}};
}
template<typename T, std::size_t N>
constexpr inline array<T, N> array_reverse(array<T, N> arr)
{
return h_array_reverse(arr, typename gen_numeric_list<int, N>::type());
}
/* generic array reductions */
// can't reuse standard reduce() interface above because Intel's Compiler
// *really* doesn't like it, so we just reimplement the stuff
// (start from N - 1 and work down to 0 because specialization for
// n == N - 1 also doesn't work in Intel's compiler, so it goes into
// an infinite loop)
template<typename Reducer, typename T, std::size_t N, std::size_t n = N - 1>
struct h_array_reduce {
EIGEN_DEVICE_FUNC constexpr static inline auto run(array<T, N> arr, T identity) -> decltype(Reducer::run(h_array_reduce<Reducer, T, N, n - 1>::run(arr, identity), array_get<n>(arr)))
{
return Reducer::run(h_array_reduce<Reducer, T, N, n - 1>::run(arr, identity), array_get<n>(arr));
}
};
template<typename Reducer, typename T, std::size_t N>
struct h_array_reduce<Reducer, T, N, 0>
{
EIGEN_DEVICE_FUNC constexpr static inline T run(const array<T, N>& arr, T)
{
return array_get<0>(arr);
}
};
template<typename Reducer, typename T>
struct h_array_reduce<Reducer, T, 0>
{
EIGEN_DEVICE_FUNC constexpr static inline T run(const array<T, 0>&, T identity)
{
return identity;
}
};
template<typename Reducer, typename T, std::size_t N>
EIGEN_DEVICE_FUNC constexpr inline auto array_reduce(const array<T, N>& arr, T identity) -> decltype(h_array_reduce<Reducer, T, N>::run(arr, identity))
{
return h_array_reduce<Reducer, T, N>::run(arr, identity);
}
/* standard array reductions */
template<typename T, std::size_t N>
EIGEN_DEVICE_FUNC constexpr inline auto array_sum(const array<T, N>& arr) -> decltype(array_reduce<sum_op, T, N>(arr, static_cast<T>(0)))
{
return array_reduce<sum_op, T, N>(arr, static_cast<T>(0));
}
template<typename T, std::size_t N>
EIGEN_DEVICE_FUNC constexpr inline auto array_prod(const array<T, N>& arr) -> decltype(array_reduce<product_op, T, N>(arr, static_cast<T>(1)))
{
return array_reduce<product_op, T, N>(arr, static_cast<T>(1));
}
template<typename t>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE t array_prod(const std::vector<t>& a) {
eigen_assert(a.size() > 0);
t prod = 1;
for (size_t i = 0; i < a.size(); ++i) { prod *= a[i]; }
return prod;
}
/* zip an array */
template<typename Op, typename A, typename B, std::size_t N, int... n>
constexpr inline array<decltype(Op::run(A(), B())),N> h_array_zip(array<A, N> a, array<B, N> b, numeric_list<int, n...>)
{
return array<decltype(Op::run(A(), B())),N>{{ Op::run(array_get<n>(a), array_get<n>(b))... }};
}
template<typename Op, typename A, typename B, std::size_t N>
constexpr inline array<decltype(Op::run(A(), B())),N> array_zip(array<A, N> a, array<B, N> b)
{
return h_array_zip<Op>(a, b, typename gen_numeric_list<int, N>::type());
}
/* zip an array and reduce the result */
template<typename Reducer, typename Op, typename A, typename B, std::size_t N, int... n>
constexpr inline auto h_array_zip_and_reduce(array<A, N> a, array<B, N> b, numeric_list<int, n...>) -> decltype(reduce<Reducer, typename id_numeric<int,n,decltype(Op::run(A(), B()))>::type...>::run(Op::run(array_get<n>(a), array_get<n>(b))...))
{
return reduce<Reducer, typename id_numeric<int,n,decltype(Op::run(A(), B()))>::type...>::run(Op::run(array_get<n>(a), array_get<n>(b))...);
}
template<typename Reducer, typename Op, typename A, typename B, std::size_t N>
constexpr inline auto array_zip_and_reduce(array<A, N> a, array<B, N> b) -> decltype(h_array_zip_and_reduce<Reducer, Op, A, B, N>(a, b, typename gen_numeric_list<int, N>::type()))
{
return h_array_zip_and_reduce<Reducer, Op, A, B, N>(a, b, typename gen_numeric_list<int, N>::type());
}
/* apply stuff to an array */
template<typename Op, typename A, std::size_t N, int... n>
constexpr inline array<decltype(Op::run(A())),N> h_array_apply(array<A, N> a, numeric_list<int, n...>)
{
return array<decltype(Op::run(A())),N>{{ Op::run(array_get<n>(a))... }};
}
template<typename Op, typename A, std::size_t N>
constexpr inline array<decltype(Op::run(A())),N> array_apply(array<A, N> a)
{
return h_array_apply<Op>(a, typename gen_numeric_list<int, N>::type());
}
/* apply stuff to an array and reduce */
template<typename Reducer, typename Op, typename A, std::size_t N, int... n>
constexpr inline auto h_array_apply_and_reduce(array<A, N> arr, numeric_list<int, n...>) -> decltype(reduce<Reducer, typename id_numeric<int,n,decltype(Op::run(A()))>::type...>::run(Op::run(array_get<n>(arr))...))
{
return reduce<Reducer, typename id_numeric<int,n,decltype(Op::run(A()))>::type...>::run(Op::run(array_get<n>(arr))...);
}
template<typename Reducer, typename Op, typename A, std::size_t N>
constexpr inline auto array_apply_and_reduce(array<A, N> a) -> decltype(h_array_apply_and_reduce<Reducer, Op, A, N>(a, typename gen_numeric_list<int, N>::type()))
{
return h_array_apply_and_reduce<Reducer, Op, A, N>(a, typename gen_numeric_list<int, N>::type());
}
/* repeat a value n times (and make an array out of it
* usage:
* array<int, 16> = repeat<16>(42);
*/
template<int n>
struct h_repeat
{
template<typename t, int... ii>
constexpr static inline array<t, n> run(t v, numeric_list<int, ii...>)
{
return {{ typename id_numeric<int, ii, t>::type(v)... }};
}
};
template<int n, typename t>
constexpr array<t, n> repeat(t v) { return h_repeat<n>::run(v, typename gen_numeric_list<int, n>::type()); }
/* instantiate a class by a C-style array */
template<class InstType, typename ArrType, std::size_t N, bool Reverse, typename... Ps>
struct h_instantiate_by_c_array;
template<class InstType, typename ArrType, std::size_t N, typename... Ps>
struct h_instantiate_by_c_array<InstType, ArrType, N, false, Ps...>
{
static InstType run(ArrType* arr, Ps... args)
{
return h_instantiate_by_c_array<InstType, ArrType, N - 1, false, Ps..., ArrType>::run(arr + 1, args..., arr[0]);
}
};
template<class InstType, typename ArrType, std::size_t N, typename... Ps>
struct h_instantiate_by_c_array<InstType, ArrType, N, true, Ps...>
{
static InstType run(ArrType* arr, Ps... args)
{
return h_instantiate_by_c_array<InstType, ArrType, N - 1, false, ArrType, Ps...>::run(arr + 1, arr[0], args...);
}
};
template<class InstType, typename ArrType, typename... Ps>
struct h_instantiate_by_c_array<InstType, ArrType, 0, false, Ps...>
{
static InstType run(ArrType* arr, Ps... args)
{
(void)arr;
return InstType(args...);
}
};
template<class InstType, typename ArrType, typename... Ps>
struct h_instantiate_by_c_array<InstType, ArrType, 0, true, Ps...>
{
static InstType run(ArrType* arr, Ps... args)
{
(void)arr;
return InstType(args...);
}
};
template<class InstType, typename ArrType, std::size_t N, bool Reverse = false>
InstType instantiate_by_c_array(ArrType* arr)
{
return h_instantiate_by_c_array<InstType, ArrType, N, Reverse>::run(arr);
}
} // end namespace internal
} // end namespace Eigen
#else // Non C++11, fallback to emulation mode
#include "src/Core/util/EmulateCXX11Meta.h"
#endif
#endif // EIGEN_CXX11META_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_CXX11WORKAROUNDS_H
#define EIGEN_CXX11WORKAROUNDS_H
/* COMPATIBILITY CHECKS
* (so users of compilers that are too old get some realistic error messages)
*/
#if defined(__INTEL_COMPILER) && (__INTEL_COMPILER < 1310)
#error Intel Compiler only supports required C++ features since version 13.1.
// note that most stuff in principle works with 13.0 but when combining
// some features, at some point 13.0 will just fail with an internal assertion
#elif defined(__GNUC__) && !defined(__clang__) && !defined(__INTEL_COMPILER) && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 6))
// G++ < 4.6 by default will continue processing the source files - even if we use #error to make
// it error out. For this reason, we use the pragma to make sure G++ aborts at the first error
// it sees. Unfortunately, that is still not our #error directive, but at least the output is
// short enough the user has a chance to see that the compiler version is not sufficient for
// the funky template mojo we use.
#pragma GCC diagnostic error "-Wfatal-errors"
#error GNU C++ Compiler (g++) only supports required C++ features since version 4.6.
#endif
/* Check that the compiler at least claims to support C++11. It might not be sufficient
* because the compiler may not implement it correctly, but at least we'll know.
* On the other hand, visual studio still doesn't claim to support C++11 although it's
* compliant enugh for our purpose.
*/
#if (__cplusplus <= 199711L) && (EIGEN_COMP_MSVC < 1900)
#if defined(__GNUC__) && !defined(__clang__) && !defined(__INTEL_COMPILER)
#pragma GCC diagnostic error "-Wfatal-errors"
#endif
#error This library needs at least a C++11 compliant compiler. If you use g++/clang, please enable the -std=c++11 compiler flag. (-std=c++0x on older versions.)
#endif
namespace Eigen {
namespace internal {
/* std::get is only constexpr in C++14, not yet in C++11
*/
template<std::size_t I, class T> constexpr inline T& array_get(std::vector<T>& a) { return a[I]; }
template<std::size_t I, class T> constexpr inline T&& array_get(std::vector<T>&& a) { return a[I]; }
template<std::size_t I, class T> constexpr inline T const& array_get(std::vector<T> const& a) { return a[I]; }
/* Suppose you have a template of the form
* template<typename T> struct X;
* And you want to specialize it in such a way:
* template<typename S1, typename... SN> struct X<Foo<S1, SN...>> { ::: };
* template<> struct X<Foo<>> { ::: };
* This will work in Intel's compiler 13.0, but only to some extent in g++ 4.6, since
* g++ can only match templates called with parameter packs if the number of template
* arguments is not a fixed size (so inside the first specialization, referencing
* X<Foo<Sn...>> will fail in g++). On the other hand, g++ will accept the following:
* template<typename S...> struct X<Foo<S...>> { ::: }:
* as an additional (!) specialization, which will then only match the empty case.
* But Intel's compiler 13.0 won't accept that, it will only accept the empty syntax,
* so we have to create a workaround for this.
*/
#if defined(__GNUC__) && !defined(__INTEL_COMPILER)
#define EIGEN_TPL_PP_SPEC_HACK_DEF(mt, n) mt... n
#define EIGEN_TPL_PP_SPEC_HACK_DEFC(mt, n) , EIGEN_TPL_PP_SPEC_HACK_DEF(mt, n)
#define EIGEN_TPL_PP_SPEC_HACK_USE(n) n...
#define EIGEN_TPL_PP_SPEC_HACK_USEC(n) , n...
#else
#define EIGEN_TPL_PP_SPEC_HACK_DEF(mt, n)
#define EIGEN_TPL_PP_SPEC_HACK_DEFC(mt, n)
#define EIGEN_TPL_PP_SPEC_HACK_USE(n)
#define EIGEN_TPL_PP_SPEC_HACK_USEC(n)
#endif
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_CXX11WORKAROUNDS_H
/*
* kate: space-indent on; indent-width 2; mixedindent off; indent-mode cstyle;
*/

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_EMULATE_ARRAY_H
#define EIGEN_EMULATE_ARRAY_H
// The array class is only available starting with cxx11. Emulate our own here
// if needed. Beware, msvc still doesn't advertise itself as a c++11 compiler!
// Moreover, CUDA doesn't support the STL containers, so we use our own instead.
#if (__cplusplus <= 199711L && EIGEN_COMP_MSVC < 1900) || defined(__CUDACC__) || defined(EIGEN_AVOID_STL_ARRAY)
namespace Eigen {
template <typename T, size_t n> class array {
public:
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& operator[] (size_t index) { return values[index]; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& operator[] (size_t index) const { return values[index]; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& front() { return values[0]; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& front() const { return values[0]; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& back() { return values[n-1]; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& back() const { return values[n-1]; }
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
static std::size_t size() { return n; }
T values[n];
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array() { }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v) {
EIGEN_STATIC_ASSERT(n==1, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2) {
EIGEN_STATIC_ASSERT(n==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2, const T& v3) {
EIGEN_STATIC_ASSERT(n==3, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2, const T& v3,
const T& v4) {
EIGEN_STATIC_ASSERT(n==4, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
values[3] = v4;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2, const T& v3, const T& v4,
const T& v5) {
EIGEN_STATIC_ASSERT(n==5, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
values[3] = v4;
values[4] = v5;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2, const T& v3, const T& v4,
const T& v5, const T& v6) {
EIGEN_STATIC_ASSERT(n==6, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
values[3] = v4;
values[4] = v5;
values[5] = v6;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(const T& v1, const T& v2, const T& v3, const T& v4,
const T& v5, const T& v6, const T& v7) {
EIGEN_STATIC_ASSERT(n==7, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
values[3] = v4;
values[4] = v5;
values[5] = v6;
values[6] = v7;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(
const T& v1, const T& v2, const T& v3, const T& v4,
const T& v5, const T& v6, const T& v7, const T& v8) {
EIGEN_STATIC_ASSERT(n==8, YOU_MADE_A_PROGRAMMING_MISTAKE)
values[0] = v1;
values[1] = v2;
values[2] = v3;
values[3] = v4;
values[4] = v5;
values[5] = v6;
values[6] = v7;
values[7] = v8;
}
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array(std::initializer_list<T> l) {
eigen_assert(l.size() == n);
internal::smart_copy(l.begin(), l.end(), values);
}
#endif
};
// Specialize array for zero size
template <typename T> class array<T, 0> {
public:
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& operator[] (size_t) {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& operator[] (size_t) const {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& front() {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& front() const {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE T& back() {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const T& back() const {
eigen_assert(false && "Can't index a zero size array");
return dummy;
}
static EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE std::size_t size() { return 0; }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE array() : dummy() { }
#ifdef EIGEN_HAS_VARIADIC_TEMPLATES
EIGEN_DEVICE_FUNC array(std::initializer_list<T> l) : dummy() {
eigen_assert(l.size() == 0);
}
#endif
private:
T dummy;
};
// Comparison operator
// Todo: implement !=, <, <=, >, and >=
template<class T, std::size_t N>
EIGEN_DEVICE_FUNC bool operator==(const array<T,N>& lhs, const array<T,N>& rhs) {
for (std::size_t i = 0; i < N; ++i) {
if (lhs[i] != rhs[i]) {
return false;
}
}
return true;
}
namespace internal {
template<std::size_t I, class T, std::size_t N>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T& array_get(array<T,N>& a) {
return a[I];
}
template<std::size_t I, class T, std::size_t N>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const T& array_get(const array<T,N>& a) {
return a[I];
}
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<array<T,N> > {
static const size_t value = N;
};
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<array<T,N>& > {
static const size_t value = N;
};
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<const array<T,N> > {
static const size_t value = N;
};
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<const array<T,N>& > {
static const size_t value = N;
};
} // end namespace internal
} // end namespace Eigen
#else
// The compiler supports c++11, and we're not targetting cuda: use std::array as Eigen::array
#include <array>
namespace Eigen {
template <typename T, std::size_t N> using array = std::array<T, N>;
namespace internal {
/* std::get is only constexpr in C++14, not yet in C++11
* - libstdc++ from version 4.7 onwards has it nevertheless,
* so use that
* - libstdc++ older versions: use _M_instance directly
* - libc++ all versions so far: use __elems_ directly
* - all other libs: use std::get to be portable, but
* this may not be constexpr
*/
#if defined(__GLIBCXX__) && __GLIBCXX__ < 20120322
#define STD_GET_ARR_HACK a._M_instance[I]
#elif defined(_LIBCPP_VERSION)
#define STD_GET_ARR_HACK a.__elems_[I]
#else
#define STD_GET_ARR_HACK std::template get<I, T, N>(a)
#endif
template<std::size_t I, class T, std::size_t N> constexpr inline T& array_get(std::array<T,N>& a) { return (T&) STD_GET_ARR_HACK; }
template<std::size_t I, class T, std::size_t N> constexpr inline T&& array_get(std::array<T,N>&& a) { return (T&&) STD_GET_ARR_HACK; }
template<std::size_t I, class T, std::size_t N> constexpr inline T const& array_get(std::array<T,N> const& a) { return (T const&) STD_GET_ARR_HACK; }
#undef STD_GET_ARR_HACK
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<const std::array<T,N> > {
static const size_t value = N;
};
template <typename T> struct array_size;
template<class T, std::size_t N> struct array_size<std::array<T,N> > {
static const size_t value = N;
};
} // end namespace internal
} // end namespace Eigen
#endif
#endif // EIGEN_EMULATE_ARRAY_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_EMULATE_CXX11_META_H
#define EIGEN_EMULATE_CXX11_META_H
namespace Eigen {
namespace internal {
/** \internal
* \file CXX11/util/EmulateCXX11Meta.h
* This file emulates a subset of the functionality provided by CXXMeta.h for
* compilers that don't yet support cxx11 such as nvcc.
*/
struct empty_list { static const std::size_t count = 0; };
template<typename T, typename Tail=empty_list> struct type_list {
typedef T HeadType;
typedef Tail TailType;
static const T head;
static const Tail tail;
static const std::size_t count = 1 + Tail::count;
};
struct null_type { };
template<typename T1 = null_type, typename T2 = null_type, typename T3 = null_type,
typename T4 = null_type, typename T5 = null_type, typename T6 = null_type,
typename T7 = null_type, typename T8 = null_type>
struct make_type_list {
typedef typename make_type_list<T2, T3, T4, T5, T6, T7, T8>::type tailresult;
typedef type_list<T1, tailresult> type;
};
template<> struct make_type_list<> {
typedef empty_list type;
};
template <std::size_t index, class TList> struct get_type;
template <class Head, class Tail>
struct get_type<0, type_list<Head, Tail> >
{
typedef Head type;
};
template <std::size_t i, class Head, class Tail>
struct get_type<i, type_list<Head, Tail> >
{
typedef typename get_type<i-1, Tail>::type type;
};
/* numeric list */
template <typename T, T n>
struct type2val {
typedef T type;
static const T value = n;
};
template<typename T, size_t n, T V> struct gen_numeric_list_repeated;
template<typename T, T V> struct gen_numeric_list_repeated<T, 1, V> {
typedef typename make_type_list<type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 2, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 3, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 4, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V>, type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 5, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V>, type2val<T, V>, type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 6, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V>,
type2val<T, V>, type2val<T, V>, type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 7, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V>,
type2val<T, V>, type2val<T, V>, type2val<T, V>,
type2val<T, V> >::type type;
};
template<typename T, T V> struct gen_numeric_list_repeated<T, 8, V> {
typedef typename make_type_list<type2val<T, V>, type2val<T, V>, type2val<T, V>,
type2val<T, V>, type2val<T, V>, type2val<T, V>,
type2val<T, V>, type2val<T, V> >::type type;
};
template <std::size_t index, class NList> struct get;
template <std::size_t i>
struct get<i, empty_list>
{
get() { eigen_assert(false && "index overflow"); }
typedef void type;
static const char value = '\0';
};
template <std::size_t i, class Head>
struct get<i, type_list<Head, empty_list> >
{
get() { eigen_assert(false && "index overflow"); }
typedef void type;
static const char value = '\0';
};
template <class Head>
struct get<0, type_list<Head, empty_list> >
{
typedef typename Head::type type;
static const type value = Head::value;
};
template <class Head, class Tail>
struct get<0, type_list<Head, Tail> >
{
typedef typename Head::type type;
static const type value = Head::value;
};
template <std::size_t i, class Head, class Tail>
struct get<i, type_list<Head, Tail> >
{
typedef typename Tail::HeadType::type type;
static const type value = get<i-1, Tail>::value;
};
template <class NList> struct arg_prod {
static const typename NList::HeadType::type value = get<0, NList>::value * arg_prod<typename NList::TailType>::value;
};
template <> struct arg_prod<empty_list> {
static const int value = 1;
};
template<int n, typename t>
array<t, n> repeat(t v) {
array<t, n> array;
array.fill(v);
return array;
}
template<std::size_t I, class Head, class Tail>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename Head::type array_get(type_list<Head, Tail>&) {
return get<I, type_list<Head, Tail> >::value;
}
template<std::size_t I, class Head, class Tail>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename Head::type array_get(const type_list<Head, Tail>&) {
return get<I, type_list<Head, Tail> >::value;
}
template <class NList>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename NList::HeadType::type array_prod(const NList&) {
return arg_prod<NList>::value;
}
template<typename t, std::size_t n>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE t array_prod(const array<t, n>& a) {
t prod = 1;
for (size_t i = 0; i < n; ++i) { prod *= a[i]; }
return prod;
}
template<typename t>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE t array_prod(const array<t, 0>& /*a*/) {
return 0;
}
template<typename t>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE t array_prod(const std::vector<t>& a) {
eigen_assert(a.size() > 0);
t prod = 1;
for (size_t i = 0; i < a.size(); ++i) { prod *= a[i]; }
return prod;
}
template<std::size_t I, class T>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T& array_get(std::vector<T>& a) {
return a[I];
}
template<std::size_t I, class T>
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const T& array_get(const std::vector<T>& a) {
return a[I];
}
struct sum_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a + b; }
};
struct product_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a * b; }
};
struct logical_and_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a && b; }
};
struct logical_or_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a || b; }
};
struct equal_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a == b; }
};
struct not_equal_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a != b; }
};
struct lesser_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a < b; }
};
struct lesser_equal_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a <= b; }
};
struct greater_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a > b; }
};
struct greater_equal_op {
template<typename A, typename B> static inline bool run(A a, B b) { return a >= b; }
};
struct not_op {
template<typename A> static inline bool run(A a) { return !a; }
};
struct negation_op {
template<typename A> static inline bool run(A a) { return -a; }
};
struct greater_equal_zero_op {
template<typename A> static inline bool run(A a) { return a >= 0; }
};
template<typename Reducer, typename Op, typename A, std::size_t N>
struct ArrayApplyAndReduce {
static inline bool run(const array<A, N>& a) {
EIGEN_STATIC_ASSERT(N >= 2, YOU_MADE_A_PROGRAMMING_MISTAKE);
bool result = Reducer::run(Op::run(a[0]), Op::run(a[1]));
for (size_t i = 2; i < N; ++i) {
result = Reducer::run(result, Op::run(a[i]));
}
return result;
}
};
template<typename Reducer, typename Op, typename A>
struct ArrayApplyAndReduce<Reducer, Op, A, 1> {
static inline bool run(const array<A, 1>& a) {
return Op::run(a[0]);
}
};
template<typename Reducer, typename Op, typename A, std::size_t N>
inline bool array_apply_and_reduce(const array<A, N>& a) {
return ArrayApplyAndReduce<Reducer, Op, A, N>::run(a);
}
template<typename Reducer, typename Op, typename A, typename B, std::size_t N>
struct ArrayZipAndReduce {
static inline bool run(const array<A, N>& a, const array<B, N>& b) {
EIGEN_STATIC_ASSERT(N >= 2, YOU_MADE_A_PROGRAMMING_MISTAKE);
bool result = Reducer::run(Op::run(a[0], b[0]), Op::run(a[1], b[1]));
for (size_t i = 2; i < N; ++i) {
result = Reducer::run(result, Op::run(a[i], b[i]));
}
return result;
}
};
template<typename Reducer, typename Op, typename A, typename B>
struct ArrayZipAndReduce<Reducer, Op, A, B, 1> {
static inline bool run(const array<A, 1>& a, const array<B, 1>& b) {
return Op::run(a[0], b[0]);
}
};
template<typename Reducer, typename Op, typename A, typename B, std::size_t N>
inline bool array_zip_and_reduce(const array<A, N>& a, const array<B, N>& b) {
return ArrayZipAndReduce<Reducer, Op, A, B, N>::run(a, b);
}
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_EMULATE_CXX11_META_H

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_FIXEDSIZEVECTOR_H
#define EIGEN_FIXEDSIZEVECTOR_H
namespace Eigen {
/** \class MaxSizeVector
* \ingroup Core
*
* \brief The MaxSizeVector class.
*
* The %MaxSizeVector provides a subset of std::vector functionality.
*
* The goal is to provide basic std::vector operations when using
* std::vector is not an option (e.g. on GPU or when compiling using
* FMA/AVX, as this can cause either compilation failures or illegal
* instruction failures).
*
* Beware: The constructors are not API compatible with these of
* std::vector.
*/
template <typename T>
class MaxSizeVector {
public:
// Construct a new MaxSizeVector, reserve n elements.
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
explicit MaxSizeVector(size_t n)
: reserve_(n), size_(0),
data_(static_cast<T*>(internal::aligned_malloc(n * sizeof(T)))) {
for (size_t i = 0; i < n; ++i) { new (&data_[i]) T; }
}
// Construct a new MaxSizeVector, reserve and resize to n.
// Copy the init value to all elements.
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
explicit MaxSizeVector(size_t n, const T& init)
: reserve_(n), size_(n),
data_(static_cast<T*>(internal::aligned_malloc(n * sizeof(T)))) {
for (size_t i = 0; i < n; ++i) { new (&data_[i]) T(init); }
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
~MaxSizeVector() {
for (size_t i = 0; i < size_; ++i) {
data_[i].~T();
}
internal::aligned_free(data_);
}
// Append new elements (up to reserved size).
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
void push_back(const T& t) {
eigen_assert(size_ < reserve_);
data_[size_++] = t;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const T& operator[] (size_t i) const {
eigen_assert(i < size_);
return data_[i];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
T& operator[] (size_t i) {
eigen_assert(i < size_);
return data_[i];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
T& back() {
eigen_assert(size_ > 0);
return data_[size_ - 1];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const T& back() const {
eigen_assert(size_ > 0);
return data_[size_ - 1];
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
void pop_back() {
// NOTE: This does not destroy the value at the end the way
// std::vector's version of pop_back() does. That happens when
// the Vector is destroyed.
eigen_assert(size_ > 0);
size_--;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
size_t size() const { return size_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
bool empty() const { return size_ == 0; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
T* data() { return data_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const T* data() const { return data_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
T* begin() { return data_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
T* end() { return data_ + size_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const T* begin() const { return data_; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const T* end() const { return data_ + size_; }
private:
size_t reserve_;
size_t size_;
T* data_;
};
} // namespace Eigen
#endif // EIGEN_FIXEDSIZEVECTOR_H