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Merge branch 'develop' of https://github.com/paboyle/Grid into merge

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This commit is contained in:
Chulwoo Jung 2018-03-08 18:02:43 -05:00
commit 60589a93a3
9 changed files with 556 additions and 396 deletions
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1
.gitignore vendored
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@ -129,6 +129,7 @@ make-bin-BUCK.sh
#####################
lib/qcd/spin/gamma-gen/*.h
lib/qcd/spin/gamma-gen/*.cc
lib/version.h
# vs code editor files #
########################

4
Makefile.am
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@ -5,6 +5,10 @@ include $(top_srcdir)/doxygen.inc
bin_SCRIPTS=grid-config
BUILT_SOURCES = version.h
version.h:
echo "`git log -n 1 --format=format:"#define GITHASH \\"%H:%d\\"%n" HEAD`" > $(srcdir)/lib/version.h
.PHONY: bench check tests doxygen-run doxygen-doc $(DX_PS_GOAL) $(DX_PDF_GOAL)

2
lib/lattice/Lattice_comparison_utils.h
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@ -198,7 +198,7 @@ namespace Grid {
typedef typename vsimd::scalar_type scalar;\
return Comparison(functor<scalar,scalar>(),lhs,rhs);\
}\
template<class vsimd>\
template<class vsimd,IfSimd<vsimd> = 0>\
inline vInteger operator op(const iScalar<vsimd> &lhs,const iScalar<vsimd> &rhs)\
{ \
return lhs._internal op rhs._internal; \

506
lib/serialisation/BaseIO.h
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@ -32,146 +32,9 @@ Author: Guido Cossu <guido.cossu@ed.ac.uk>
#include <type_traits>
#include <Grid/tensors/Tensors.h>
#include <Grid/serialisation/VectorUtils.h>
namespace Grid {
// Grid scalar tensors to nested std::vectors //////////////////////////////////
template <typename T>
struct TensorToVec
{
typedef T type;
};
template <typename T>
struct TensorToVec<iScalar<T>>
{
typedef typename TensorToVec<T>::type type;
};
template <typename T, int N>
struct TensorToVec<iVector<T, N>>
{
typedef typename std::vector<typename TensorToVec<T>::type> type;
};
template <typename T, int N>
struct TensorToVec<iMatrix<T, N>>
{
typedef typename std::vector<std::vector<typename TensorToVec<T>::type>> type;
};
template <typename T>
typename TensorToVec<T>::type tensorToVec(const T &t)
{
return t;
}
template <typename T>
typename TensorToVec<iScalar<T>>::type tensorToVec(const iScalar<T>& t)
{
return tensorToVec(t._internal);
}
template <typename T, int N>
typename TensorToVec<iVector<T, N>>::type tensorToVec(const iVector<T, N>& t)
{
typename TensorToVec<iVector<T, N>>::type v;
v.resize(N);
for (unsigned int i = 0; i < N; i++)
{
v[i] = tensorToVec(t._internal[i]);
}
return v;
}
template <typename T, int N>
typename TensorToVec<iMatrix<T, N>>::type tensorToVec(const iMatrix<T, N>& t)
{
typename TensorToVec<iMatrix<T, N>>::type v;
v.resize(N);
for (unsigned int i = 0; i < N; i++)
{
v[i].resize(N);
for (unsigned int j = 0; j < N; j++)
{
v[i][j] = tensorToVec(t._internal[i][j]);
}
}
return v;
}
// Vector element trait //////////////////////////////////////////////////////
template <typename T>
struct element
{
typedef T type;
static constexpr bool is_number = false;
};
template <typename T>
struct element<std::vector<T>>
{
typedef typename element<T>::type type;
static constexpr bool is_number = std::is_arithmetic<T>::value
or is_complex<T>::value
or element<T>::is_number;
};
// Vector flattening utility class ////////////////////////////////////////////
// Class to flatten a multidimensional std::vector
template <typename V>
class Flatten
{
public:
typedef typename element<V>::type Element;
public:
explicit Flatten(const V &vector);
const V & getVector(void);
const std::vector<Element> & getFlatVector(void);
const std::vector<size_t> & getDim(void);
private:
void accumulate(const Element &e);
template <typename W>
void accumulate(const W &v);
void accumulateDim(const Element &e);
template <typename W>
void accumulateDim(const W &v);
private:
const V &vector_;
std::vector<Element> flatVector_;
std::vector<size_t> dim_;
};
// Class to reconstruct a multidimensional std::vector
template <typename V>
class Reconstruct
{
public:
typedef typename element<V>::type Element;
public:
Reconstruct(const std::vector<Element> &flatVector,
const std::vector<size_t> &dim);
const V & getVector(void);
const std::vector<Element> & getFlatVector(void);
const std::vector<size_t> & getDim(void);
private:
void fill(std::vector<Element> &v);
template <typename W>
void fill(W &v);
void resize(std::vector<Element> &v, const unsigned int dim);
template <typename W>
void resize(W &v, const unsigned int dim);
private:
V vector_;
const std::vector<Element> &flatVector_;
std::vector<size_t> dim_;
size_t ind_{0};
unsigned int dimInd_{0};
};
// Pair IO utilities /////////////////////////////////////////////////////////
// helper function to parse input in the format "<obj1 obj2>"
template <typename T1, typename T2>
@ -220,42 +83,6 @@ namespace Grid {
return os;
}
// Vector IO utilities ///////////////////////////////////////////////////////
// helper function to read space-separated values
template <typename T>
std::vector<T> strToVec(const std::string s)
{
std::istringstream sstr(s);
T buf;
std::vector<T> v;
while(!sstr.eof())
{
sstr >> buf;
v.push_back(buf);
}
return v;
}
// output to streams for vectors
template < class T >
inline std::ostream & operator<<(std::ostream &os, const std::vector<T> &v)
{
os << "[";
for (auto &x: v)
{
os << x << " ";
}
if (v.size() > 0)
{
os << "\b";
}
os << "]";
return os;
}
// Abstract writer/reader classes ////////////////////////////////////////////
// static polymorphism implemented using CRTP idiom
class Serializable;
@ -275,6 +102,12 @@ namespace Grid {
template <typename U>
typename std::enable_if<!std::is_base_of<Serializable, U>::value, void>::type
write(const std::string& s, const U &output);
template <typename U>
void write(const std::string &s, const iScalar<U> &output);
template <typename U, int N>
void write(const std::string &s, const iVector<U, N> &output);
template <typename U, int N>
void write(const std::string &s, const iMatrix<U, N> &output);
private:
T *upcast;
};
@ -294,6 +127,12 @@ namespace Grid {
template <typename U>
typename std::enable_if<!std::is_base_of<Serializable, U>::value, void>::type
read(const std::string& s, U &output);
template <typename U>
void read(const std::string &s, iScalar<U> &output);
template <typename U, int N>
void read(const std::string &s, iVector<U, N> &output);
template <typename U, int N>
void read(const std::string &s, iMatrix<U, N> &output);
protected:
template <typename U>
void fromString(U &output, const std::string &s);
@ -307,203 +146,9 @@ namespace Grid {
};
template<typename T> struct isWriter {
static const bool value = false;
};
// Generic writer interface
// serializable base class
class Serializable
{
public:
template <typename T>
static inline void write(Writer<T> &WR,const std::string &s,
const Serializable &obj)
{}
template <typename T>
static inline void read(Reader<T> &RD,const std::string &s,
Serializable &obj)
{}
friend inline std::ostream & operator<<(std::ostream &os,
const Serializable &obj)
{
return os;
}
};
// Flatten class template implementation /////////////////////////////////////
template <typename V>
void Flatten<V>::accumulate(const Element &e)
{
flatVector_.push_back(e);
}
template <typename V>
template <typename W>
void Flatten<V>::accumulate(const W &v)
{
for (auto &e: v)
{
accumulate(e);
}
}
template <typename V>
void Flatten<V>::accumulateDim(const Element &e) {};
template <typename V>
template <typename W>
void Flatten<V>::accumulateDim(const W &v)
{
dim_.push_back(v.size());
accumulateDim(v[0]);
}
template <typename V>
Flatten<V>::Flatten(const V &vector)
: vector_(vector)
{
accumulate(vector_);
accumulateDim(vector_);
}
template <typename V>
const V & Flatten<V>::getVector(void)
{
return vector_;
}
template <typename V>
const std::vector<typename Flatten<V>::Element> &
Flatten<V>::getFlatVector(void)
{
return flatVector_;
}
template <typename V>
const std::vector<size_t> & Flatten<V>::getDim(void)
{
return dim_;
}
// Reconstruct class template implementation /////////////////////////////////
template <typename V>
void Reconstruct<V>::fill(std::vector<Element> &v)
{
for (auto &e: v)
{
e = flatVector_[ind_++];
}
}
template <typename V>
template <typename W>
void Reconstruct<V>::fill(W &v)
{
for (auto &e: v)
{
fill(e);
}
}
template <typename V>
void Reconstruct<V>::resize(std::vector<Element> &v, const unsigned int dim)
{
v.resize(dim_[dim]);
}
template <typename V>
template <typename W>
void Reconstruct<V>::resize(W &v, const unsigned int dim)
{
v.resize(dim_[dim]);
for (auto &e: v)
{
resize(e, dim + 1);
}
}
template <typename V>
Reconstruct<V>::Reconstruct(const std::vector<Element> &flatVector,
const std::vector<size_t> &dim)
: flatVector_(flatVector)
, dim_(dim)
{
resize(vector_, 0);
fill(vector_);
}
template <typename V>
const V & Reconstruct<V>::getVector(void)
{
return vector_;
}
template <typename V>
const std::vector<typename Reconstruct<V>::Element> &
Reconstruct<V>::getFlatVector(void)
{
return flatVector_;
}
template <typename V>
const std::vector<size_t> & Reconstruct<V>::getDim(void)
{
return dim_;
}
// Generic writer interface //////////////////////////////////////////////////
template <typename T>
inline void push(Writer<T> &w, const std::string &s) {
w.push(s);
}
template <typename T>
inline void push(Writer<T> &w, const char *s)
{
w.push(std::string(s));
}
template <typename T>
inline void pop(Writer<T> &w)
{
w.pop();
}
template <typename T, typename U>
inline void write(Writer<T> &w, const std::string& s, const U &output)
{
w.write(s, output);
}
// Generic reader interface
template <typename T>
inline bool push(Reader<T> &r, const std::string &s)
{
return r.push(s);
}
template <typename T>
inline bool push(Reader<T> &r, const char *s)
{
return r.push(std::string(s));
}
template <typename T>
inline void pop(Reader<T> &r)
{
r.pop();
}
template <typename T, typename U>
inline void read(Reader<T> &r, const std::string &s, U &output)
{
r.read(s, output);
}
// Writer template implementation ////////////////////////////////////////////
// Writer template implementation
template <typename T>
Writer<T>::Writer(void)
{
@ -537,6 +182,27 @@ namespace Grid {
{
upcast->writeDefault(s, output);
}
template <typename T>
template <typename U>
void Writer<T>::write(const std::string &s, const iScalar<U> &output)
{
upcast->writeDefault(s, tensorToVec(output));
}
template <typename T>
template <typename U, int N>
void Writer<T>::write(const std::string &s, const iVector<U, N> &output)
{
upcast->writeDefault(s, tensorToVec(output));
}
template <typename T>
template <typename U, int N>
void Writer<T>::write(const std::string &s, const iMatrix<U, N> &output)
{
upcast->writeDefault(s, tensorToVec(output));
}
// Reader template implementation
template <typename T>
@ -572,7 +238,37 @@ namespace Grid {
{
upcast->readDefault(s, output);
}
template <typename T>
template <typename U>
void Reader<T>::read(const std::string &s, iScalar<U> &output)
{
typename TensorToVec<iScalar<U>>::type v;
upcast->readDefault(s, v);
vecToTensor(output, v);
}
template <typename T>
template <typename U, int N>
void Reader<T>::read(const std::string &s, iVector<U, N> &output)
{
typename TensorToVec<iVector<U, N>>::type v;
upcast->readDefault(s, v);
vecToTensor(output, v);
}
template <typename T>
template <typename U, int N>
void Reader<T>::read(const std::string &s, iMatrix<U, N> &output)
{
typename TensorToVec<iMatrix<U, N>>::type v;
upcast->readDefault(s, v);
vecToTensor(output, v);
}
template <typename T>
template <typename U>
void Reader<T>::fromString(U &output, const std::string &s)
@ -591,6 +287,76 @@ namespace Grid {
abort();
}
}
// serializable base class ///////////////////////////////////////////////////
class Serializable
{
public:
template <typename T>
static inline void write(Writer<T> &WR,const std::string &s,
const Serializable &obj)
{}
template <typename T>
static inline void read(Reader<T> &RD,const std::string &s,
Serializable &obj)
{}
friend inline std::ostream & operator<<(std::ostream &os,
const Serializable &obj)
{
return os;
}
};
// Generic writer interface //////////////////////////////////////////////////
template <typename T>
inline void push(Writer<T> &w, const std::string &s) {
w.push(s);
}
template <typename T>
inline void push(Writer<T> &w, const char *s)
{
w.push(std::string(s));
}
template <typename T>
inline void pop(Writer<T> &w)
{
w.pop();
}
template <typename T, typename U>
inline void write(Writer<T> &w, const std::string& s, const U &output)
{
w.write(s, output);
}
// Generic reader interface //////////////////////////////////////////////////
template <typename T>
inline bool push(Reader<T> &r, const std::string &s)
{
return r.push(s);
}
template <typename T>
inline bool push(Reader<T> &r, const char *s)
{
return r.push(std::string(s));
}
template <typename T>
inline void pop(Reader<T> &r)
{
r.pop();
}
template <typename T, typename U>
inline void read(Reader<T> &r, const std::string &s, U &output)
{
r.read(s, output);
}
}
#endif

1
lib/serialisation/Hdf5IO.h
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@ -5,6 +5,7 @@
#include <string>
#include <vector>
#include <H5Cpp.h>
#include <Grid/tensors/Tensors.h>
#include "Hdf5Type.h"
#ifndef H5_NO_NAMESPACE

336
lib/serialisation/VectorUtils.h Normal file
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@ -0,0 +1,336 @@
#ifndef GRID_SERIALISATION_VECTORUTILS_H
#define GRID_SERIALISATION_VECTORUTILS_H
#include <type_traits>
#include <Grid/tensors/Tensors.h>
namespace Grid {
// Grid scalar tensors to nested std::vectors //////////////////////////////////
template <typename T>
struct TensorToVec
{
typedef T type;
};
template <typename T>
struct TensorToVec<iScalar<T>>
{
typedef typename TensorToVec<T>::type type;
};
template <typename T, int N>
struct TensorToVec<iVector<T, N>>
{
typedef typename std::vector<typename TensorToVec<T>::type> type;
};
template <typename T, int N>
struct TensorToVec<iMatrix<T, N>>
{
typedef typename std::vector<std::vector<typename TensorToVec<T>::type>> type;
};
template <typename T>
typename TensorToVec<T>::type tensorToVec(const T &t)
{
return t;
}
template <typename T>
typename TensorToVec<iScalar<T>>::type tensorToVec(const iScalar<T>& t)
{
return tensorToVec(t._internal);
}
template <typename T, int N>
typename TensorToVec<iVector<T, N>>::type tensorToVec(const iVector<T, N>& t)
{
typename TensorToVec<iVector<T, N>>::type v;
v.resize(N);
for (unsigned int i = 0; i < N; i++)
{
v[i] = tensorToVec(t._internal[i]);
}
return v;
}
template <typename T, int N>
typename TensorToVec<iMatrix<T, N>>::type tensorToVec(const iMatrix<T, N>& t)
{
typename TensorToVec<iMatrix<T, N>>::type v;
v.resize(N);
for (unsigned int i = 0; i < N; i++)
{
v[i].resize(N);
for (unsigned int j = 0; j < N; j++)
{
v[i][j] = tensorToVec(t._internal[i][j]);
}
}
return v;
}
template <typename T>
void vecToTensor(T &t, const typename TensorToVec<T>::type &v)
{
t = v;
}
template <typename T>
void vecToTensor(iScalar<T> &t, const typename TensorToVec<iScalar<T>>::type &v)
{
vecToTensor(t._internal, v);
}
template <typename T, int N>
void vecToTensor(iVector<T, N> &t, const typename TensorToVec<iVector<T, N>>::type &v)
{
for (unsigned int i = 0; i < N; i++)
{
vecToTensor(t._internal[i], v[i]);
}
}
template <typename T, int N>
void vecToTensor(iMatrix<T, N> &t, const typename TensorToVec<iMatrix<T, N>>::type &v)
{
for (unsigned int i = 0; i < N; i++)
for (unsigned int j = 0; j < N; j++)
{
vecToTensor(t._internal[i][j], v[i][j]);
}
}
// Vector element trait //////////////////////////////////////////////////////
template <typename T>
struct element
{
typedef T type;
static constexpr bool is_number = false;
};
template <typename T>
struct element<std::vector<T>>
{
typedef typename element<T>::type type;
static constexpr bool is_number = std::is_arithmetic<T>::value
or is_complex<T>::value
or element<T>::is_number;
};
// Vector flattening utility class ////////////////////////////////////////////
// Class to flatten a multidimensional std::vector
template <typename V>
class Flatten
{
public:
typedef typename element<V>::type Element;
public:
explicit Flatten(const V &vector);
const V & getVector(void);
const std::vector<Element> & getFlatVector(void);
const std::vector<size_t> & getDim(void);
private:
void accumulate(const Element &e);
template <typename W>
void accumulate(const W &v);
void accumulateDim(const Element &e);
template <typename W>
void accumulateDim(const W &v);
private:
const V &vector_;
std::vector<Element> flatVector_;
std::vector<size_t> dim_;
};
// Class to reconstruct a multidimensional std::vector
template <typename V>
class Reconstruct
{
public:
typedef typename element<V>::type Element;
public:
Reconstruct(const std::vector<Element> &flatVector,
const std::vector<size_t> &dim);
const V & getVector(void);
const std::vector<Element> & getFlatVector(void);
const std::vector<size_t> & getDim(void);
private:
void fill(std::vector<Element> &v);
template <typename W>
void fill(W &v);
void resize(std::vector<Element> &v, const unsigned int dim);
template <typename W>
void resize(W &v, const unsigned int dim);
private:
V vector_;
const std::vector<Element> &flatVector_;
std::vector<size_t> dim_;
size_t ind_{0};
unsigned int dimInd_{0};
};
// Flatten class template implementation
template <typename V>
void Flatten<V>::accumulate(const Element &e)
{
flatVector_.push_back(e);
}
template <typename V>
template <typename W>
void Flatten<V>::accumulate(const W &v)
{
for (auto &e: v)
{
accumulate(e);
}
}
template <typename V>
void Flatten<V>::accumulateDim(const Element &e) {};
template <typename V>
template <typename W>
void Flatten<V>::accumulateDim(const W &v)
{
dim_.push_back(v.size());
accumulateDim(v[0]);
}
template <typename V>
Flatten<V>::Flatten(const V &vector)
: vector_(vector)
{
accumulate(vector_);
accumulateDim(vector_);
}
template <typename V>
const V & Flatten<V>::getVector(void)
{
return vector_;
}
template <typename V>
const std::vector<typename Flatten<V>::Element> &
Flatten<V>::getFlatVector(void)
{
return flatVector_;
}
template <typename V>
const std::vector<size_t> & Flatten<V>::getDim(void)
{
return dim_;
}
// Reconstruct class template implementation
template <typename V>
void Reconstruct<V>::fill(std::vector<Element> &v)
{
for (auto &e: v)
{
e = flatVector_[ind_++];
}
}
template <typename V>
template <typename W>
void Reconstruct<V>::fill(W &v)
{
for (auto &e: v)
{
fill(e);
}
}
template <typename V>
void Reconstruct<V>::resize(std::vector<Element> &v, const unsigned int dim)
{
v.resize(dim_[dim]);
}
template <typename V>
template <typename W>
void Reconstruct<V>::resize(W &v, const unsigned int dim)
{
v.resize(dim_[dim]);
for (auto &e: v)
{
resize(e, dim + 1);
}
}
template <typename V>
Reconstruct<V>::Reconstruct(const std::vector<Element> &flatVector,
const std::vector<size_t> &dim)
: flatVector_(flatVector)
, dim_(dim)
{
resize(vector_, 0);
fill(vector_);
}
template <typename V>
const V & Reconstruct<V>::getVector(void)
{
return vector_;
}
template <typename V>
const std::vector<typename Reconstruct<V>::Element> &
Reconstruct<V>::getFlatVector(void)
{
return flatVector_;
}
template <typename V>
const std::vector<size_t> & Reconstruct<V>::getDim(void)
{
return dim_;
}
// Vector IO utilities ///////////////////////////////////////////////////////
// helper function to read space-separated values
template <typename T>
std::vector<T> strToVec(const std::string s)
{
std::istringstream sstr(s);
T buf;
std::vector<T> v;
while(!sstr.eof())
{
sstr >> buf;
v.push_back(buf);
}
return v;
}
// output to streams for vectors
template < class T >
inline std::ostream & operator<<(std::ostream &os, const std::vector<T> &v)
{
os << "[";
for (auto &x: v)
{
os << x << " ";
}
if (v.size() > 0)
{
os << "\b";
}
os << "]";
return os;
}
}
#endif

33
lib/tensors/Tensor_logical.h
View File

@ -55,5 +55,38 @@ LOGICAL_BINOP(&);
LOGICAL_BINOP(||);
LOGICAL_BINOP(&&);
template <class T>
strong_inline bool operator==(const iScalar<T> &t1, const iScalar<T> &t2)
{
return (t1._internal == t2._internal);
}
template <class T, int N>
strong_inline bool operator==(const iVector<T, N> &t1, const iVector<T, N> &t2)
{
bool res = true;
for (unsigned int i = 0; i < N; ++i)
{
res = (res && (t1._internal[i] == t2._internal[i]));
}
return res;
}
template <class T, int N>
strong_inline bool operator==(const iMatrix<T, N> &t1, const iMatrix<T, N> &t2)
{
bool res = true;
for (unsigned int i = 0; i < N; ++i)
for (unsigned int j = 0; j < N; ++j)
{
res = (res && (t1._internal[i][j] == t2._internal[i][j]));
}
return res;
}
}
#endif

7
lib/util/Init.cc
View File

@ -49,6 +49,7 @@ Author: paboyle <paboyle@ph.ed.ac.uk>
#include <Grid/Grid.h>
#include <Grid/util/CompilerCompatible.h>
#include <version.h>
#include <fenv.h>
@ -296,6 +297,12 @@ void Grid_init(int *argc,char ***argv)
std::cout << "but WITHOUT ANY WARRANTY; without even the implied warranty of"<<std::endl;
std::cout << "MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the"<<std::endl;
std::cout << "GNU General Public License for more details."<<std::endl;
#ifdef GITHASH
std::cout << "Current Grid git commit hash=" << GITHASH << std::endl;
#else
std::cout << "Current Grid git commit hash is undefined. Check makefile." << std::endl;
#endif
#undef GITHASH
std::cout << std::endl;
}

62
tests/IO/Test_serialisation.cc
View File

@ -45,7 +45,8 @@ public:
bool , b,
std::vector<double>, array,
std::vector<std::vector<double> >, twodimarray,
std::vector<std::vector<std::vector<Complex> > >, cmplx3darray
std::vector<std::vector<std::vector<Complex> > >, cmplx3darray,
SpinColourMatrix, scm
);
myclass() {}
myclass(int i)
@ -59,6 +60,12 @@ public:
y=2*i;
b=true;
name="bother said pooh";
scm()(0, 1)(2, 1) = 2.356;
scm()(3, 0)(1, 1) = 1.323;
scm()(2, 1)(0, 1) = 5.3336;
scm()(0, 2)(1, 1) = 6.336;
scm()(2, 1)(2, 2) = 7.344;
scm()(1, 1)(2, 0) = 8.3534;
}
};
@ -93,8 +100,30 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
if (!good) exit(EXIT_FAILURE);
}
template <typename T>
void tensorConvTestFn(GridSerialRNG &rng, const std::string label)
{
T t, ft;
Real n;
bool good;
random(rng, t);
auto tv = tensorToVec(t);
vecToTensor(ft, tv);
n = norm2(t - ft);
good = (n == 0);
std::cout << label << " norm 2 diff: " << n << " -- "
<< (good ? "success" : "failure") << std::endl;
}
#define tensorConvTest(rng, type) tensorConvTestFn<type>(rng, #type)
int main(int argc,char **argv)
{
GridSerialRNG rng;
rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
std::cout << "==== basic IO" << std::endl;
XmlWriter WR("bother.xml");
@ -120,7 +149,7 @@ int main(int argc,char **argv)
std::cout << "-- serialisable class writing to 'bother.xml'..." << std::endl;
write(WR,"obj",obj);
WR.write("obj2", obj);
vec.push_back(myclass(1234));
vec.push_back(obj);
vec.push_back(myclass(5678));
vec.push_back(myclass(3838));
pair = std::make_pair(myenum::red, myenum::blue);
@ -131,8 +160,6 @@ int main(int argc,char **argv)
std::cout << "-- serialisable class comparison:" << std::endl;
std::cout << "vec[0] == obj: " << ((vec[0] == obj) ? "true" : "false") << std::endl;
std::cout << "vec[1] == obj: " << ((vec[1] == obj) ? "true" : "false") << std::endl;
write(WR, "objpair", pair);
std::cout << "-- pair writing to std::cout:" << std::endl;
std::cout << pair << std::endl;
@ -141,26 +168,20 @@ int main(int argc,char **argv)
//// XML
ioTest<XmlWriter, XmlReader>("iotest.xml", obj, "XML (object) ");
ioTest<XmlWriter, XmlReader>("iotest.xml", vec, "XML (vector of objects)");
ioTest<XmlWriter, XmlReader>("iotest.xml", pair, "XML (pair of objects)");
//// binary
ioTest<BinaryWriter, BinaryReader>("iotest.bin", obj, "binary (object) ");
ioTest<BinaryWriter, BinaryReader>("iotest.bin", vec, "binary (vector of objects)");
ioTest<BinaryWriter, BinaryReader>("iotest.bin", pair, "binary (pair of objects)");
//// text
ioTest<TextWriter, TextReader>("iotest.dat", obj, "text (object) ");
ioTest<TextWriter, TextReader>("iotest.dat", vec, "text (vector of objects)");
ioTest<TextWriter, TextReader>("iotest.dat", pair, "text (pair of objects)");
//// text
ioTest<JSONWriter, JSONReader>("iotest.json", obj, "JSON (object) ");
ioTest<JSONWriter, JSONReader>("iotest.json", vec, "JSON (vector of objects)");
ioTest<JSONWriter, JSONReader>("iotest.json", pair, "JSON (pair of objects)");
//// HDF5
#undef HAVE_HDF5
#ifdef HAVE_HDF5
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", obj, "HDF5 (object) ");
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", vec, "HDF5 (vector of objects)");
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", pair, "HDF5 (pair of objects)");
#endif
std::cout << "\n==== vector flattening/reconstruction" << std::endl;
@ -198,19 +219,10 @@ int main(int argc,char **argv)
std::cout << std::endl;
std::cout << "==== Grid tensor to vector test" << std::endl;
GridSerialRNG rng;
SpinColourMatrix scm;
SpinColourVector scv;
rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
random(rng, scm);
random(rng, scv);
std::cout << "Test spin-color matrix: " << scm << std::endl;
std::cout << "Test spin-color vector: " << scv << std::endl;
std::cout << "Converting to std::vector" << std::endl;
auto scmv = tensorToVec(scm);
auto scvv = tensorToVec(scv);
std::cout << "Spin-color matrix: " << scmv << std::endl;
std::cout << "Spin-color vector: " << scvv << std::endl;
tensorConvTest(rng, SpinColourMatrix);
tensorConvTest(rng, SpinColourVector);
tensorConvTest(rng, ColourMatrix);
tensorConvTest(rng, ColourVector);
tensorConvTest(rng, SpinMatrix);
tensorConvTest(rng, SpinVector);
}