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Grid/tests/IO/Test_serialisation.cc

231 lines
7.1 KiB
C++

/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_serialisation.cc
Copyright (C) 2015-2016
Author: Guido Cossu <guido.cossu@ed.ac.uk>
Author: Antonin Portelli <antonin.portelli@me.com>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
using namespace Grid;
using namespace Grid::QCD;
GRID_SERIALIZABLE_ENUM(myenum, undef, red, 1, blue, 2, green, 3);
class myclass: Serializable {
public:
GRID_SERIALIZABLE_CLASS_MEMBERS(myclass,
myenum, e,
std::vector<myenum>, ve,
std::string, name,
int, x,
double, y,
bool , b,
std::vector<double>, array,
std::vector<std::vector<double> >, twodimarray,
std::vector<std::vector<std::vector<Complex> > >, cmplx3darray,
SpinColourMatrix, scm
);
myclass() {}
myclass(int i)
: array(4,5.1)
, twodimarray(3,std::vector<double>(5, 1.23456))
, cmplx3darray(3,std::vector<std::vector<Complex>>(5, std::vector<Complex>(7, Complex(1.2, 3.4))))
, ve(2, myenum::blue)
{
e=myenum::red;
x=i;
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;
}
};
int16_t i16 = 1;
uint16_t u16 = 2;
int32_t i32 = 3;
uint32_t u32 = 4;
int64_t i64 = 5;
uint64_t u64 = 6;
float f = M_PI;
double d = 2*M_PI;
bool b = false;
template <typename W, typename R, typename O>
void ioTest(const std::string &filename, const O &object, const std::string &name)
{
// writer needs to be destroyed so that writing physically happens
{
W writer(filename);
write(writer, "testobject", object);
}
R reader(filename);
O buf;
bool good;
read(reader, "testobject", buf);
good = (object == buf);
std::cout << name << " IO test: " << (good ? "success" : "failure");
std::cout << std::endl;
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)
{
Grid_init(&argc,&argv);
GridSerialRNG rng;
rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
std::cout << "==== basic IO" << std::endl;
XmlWriter WR("bother.xml");
// test basic type writing
std::cout << "-- basic writing to 'bother.xml'..." << std::endl;
push(WR,"BasicTypes");
write(WR,std::string("i16"),i16);
write(WR,"u16",u16);
write(WR,"i32",i32);
write(WR,"u32",u32);
write(WR,"i64",i64);
write(WR,"u64",u64);
write(WR,"f",f);
write(WR,"d",d);
write(WR,"b",b);
pop(WR);
// test serializable class writing
myclass obj(1234); // non-trivial constructor
std::vector<myclass> vec;
std::pair<myenum, myenum> pair;
std::cout << "-- serialisable class writing to 'bother.xml'..." << std::endl;
write(WR,"obj",obj);
WR.write("obj2", obj);
vec.push_back(obj);
vec.push_back(myclass(5678));
vec.push_back(myclass(3838));
pair = std::make_pair(myenum::red, myenum::blue);
write(WR, "objvec", vec);
std::cout << "-- serialisable class writing to std::cout:" << std::endl;
std::cout << obj << std::endl;
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;
std::cout << "-- pair writing to std::cout:" << std::endl;
std::cout << pair << std::endl;
// read tests
std::cout << "\n==== IO self-consistency tests" << std::endl;
//// XML
ioTest<XmlWriter, XmlReader>("iotest.xml", obj, "XML (object) ");
ioTest<XmlWriter, XmlReader>("iotest.xml", vec, "XML (vector of objects)");
//// binary
ioTest<BinaryWriter, BinaryReader>("iotest.bin", obj, "binary (object) ");
ioTest<BinaryWriter, BinaryReader>("iotest.bin", vec, "binary (vector of objects)");
//// text
ioTest<TextWriter, TextReader>("iotest.dat", obj, "text (object) ");
ioTest<TextWriter, TextReader>("iotest.dat", vec, "text (vector of objects)");
//// text
ioTest<JSONWriter, JSONReader>("iotest.json", obj, "JSON (object) ");
ioTest<JSONWriter, JSONReader>("iotest.json", vec, "JSON (vector of objects)");
//// HDF5
#ifdef HAVE_HDF5
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", obj, "HDF5 (object) ");
ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", vec, "HDF5 (vector of objects)");
#endif
std::cout << "\n==== vector flattening/reconstruction" << std::endl;
typedef std::vector<std::vector<std::vector<double>>> vec3d;
vec3d dv, buf;
double d = 0.;
dv.resize(4);
for (auto &v1: dv)
{
v1.resize(3);
for (auto &v2: v1)
{
v2.resize(5);
for (auto &x: v2)
{
x = d++;
}
}
}
std::cout << "original 3D vector:" << std::endl;
std::cout << dv << std::endl;
Flatten<vec3d> flatdv(dv);
std::cout << "\ndimensions:" << std::endl;
std::cout << flatdv.getDim() << std::endl;
std::cout << "\nflattened vector:" << std::endl;
std::cout << flatdv.getFlatVector() << std::endl;
Reconstruct<vec3d> rec(flatdv.getFlatVector(), flatdv.getDim());
std::cout << "\nreconstructed vector:" << std::endl;
std::cout << flatdv.getVector() << std::endl;
std::cout << std::endl;
std::cout << "==== Grid tensor to vector test" << std::endl;
tensorConvTest(rng, SpinColourMatrix);
tensorConvTest(rng, SpinColourVector);
tensorConvTest(rng, ColourMatrix);
tensorConvTest(rng, ColourVector);
tensorConvTest(rng, SpinMatrix);
tensorConvTest(rng, SpinVector);
}