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231 lines
7.1 KiB
C++
231 lines
7.1 KiB
C++
/*************************************************************************************
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Grid physics library, www.github.com/paboyle/Grid
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Source file: ./tests/Test_serialisation.cc
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Copyright (C) 2015-2016
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Author: Guido Cossu <guido.cossu@ed.ac.uk>
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Author: Antonin Portelli <antonin.portelli@me.com>
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Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License along
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with this program; if not, write to the Free Software Foundation, Inc.,
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51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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See the full license in the file "LICENSE" in the top level distribution directory
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*************************************************************************************/
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/* END LEGAL */
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#include <Grid/Grid.h>
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using namespace Grid;
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using namespace Grid::QCD;
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GRID_SERIALIZABLE_ENUM(myenum, undef, red, 1, blue, 2, green, 3);
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class myclass: Serializable {
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public:
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GRID_SERIALIZABLE_CLASS_MEMBERS(myclass,
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myenum, e,
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std::vector<myenum>, ve,
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std::string, name,
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int, x,
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double, y,
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bool , b,
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std::vector<double>, array,
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std::vector<std::vector<double> >, twodimarray,
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std::vector<std::vector<std::vector<Complex> > >, cmplx3darray,
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SpinColourMatrix, scm
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);
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myclass() {}
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myclass(int i)
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: array(4,5.1)
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, twodimarray(3,std::vector<double>(5, 1.23456))
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, cmplx3darray(3,std::vector<std::vector<Complex>>(5, std::vector<Complex>(7, Complex(1.2, 3.4))))
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, ve(2, myenum::blue)
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{
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e=myenum::red;
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x=i;
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y=2*i;
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b=true;
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name="bother said pooh";
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scm()(0, 1)(2, 1) = 2.356;
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scm()(3, 0)(1, 1) = 1.323;
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scm()(2, 1)(0, 1) = 5.3336;
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scm()(0, 2)(1, 1) = 6.336;
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scm()(2, 1)(2, 2) = 7.344;
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scm()(1, 1)(2, 0) = 8.3534;
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}
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};
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int16_t i16 = 1;
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uint16_t u16 = 2;
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int32_t i32 = 3;
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uint32_t u32 = 4;
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int64_t i64 = 5;
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uint64_t u64 = 6;
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float f = M_PI;
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double d = 2*M_PI;
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bool b = false;
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template <typename W, typename R, typename O>
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void ioTest(const std::string &filename, const O &object, const std::string &name)
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{
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// writer needs to be destroyed so that writing physically happens
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{
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W writer(filename);
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write(writer, "testobject", object);
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}
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R reader(filename);
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O buf;
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bool good;
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read(reader, "testobject", buf);
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good = (object == buf);
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std::cout << name << " IO test: " << (good ? "success" : "failure");
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std::cout << std::endl;
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if (!good) exit(EXIT_FAILURE);
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}
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template <typename T>
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void tensorConvTestFn(GridSerialRNG &rng, const std::string label)
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{
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T t, ft;
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Real n;
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bool good;
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random(rng, t);
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auto tv = tensorToVec(t);
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vecToTensor(ft, tv);
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n = norm2(t - ft);
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good = (n == 0);
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std::cout << label << " norm 2 diff: " << n << " -- "
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<< (good ? "success" : "failure") << std::endl;
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}
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#define tensorConvTest(rng, type) tensorConvTestFn<type>(rng, #type)
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int main(int argc,char **argv)
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{
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Grid_init(&argc,&argv);
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GridSerialRNG rng;
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rng.SeedFixedIntegers(std::vector<int>({42,10,81,9}));
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std::cout << "==== basic IO" << std::endl;
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XmlWriter WR("bother.xml");
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// test basic type writing
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std::cout << "-- basic writing to 'bother.xml'..." << std::endl;
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push(WR,"BasicTypes");
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write(WR,std::string("i16"),i16);
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write(WR,"u16",u16);
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write(WR,"i32",i32);
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write(WR,"u32",u32);
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write(WR,"i64",i64);
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write(WR,"u64",u64);
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write(WR,"f",f);
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write(WR,"d",d);
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write(WR,"b",b);
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pop(WR);
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// test serializable class writing
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myclass obj(1234); // non-trivial constructor
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std::vector<myclass> vec;
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std::pair<myenum, myenum> pair;
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std::cout << "-- serialisable class writing to 'bother.xml'..." << std::endl;
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write(WR,"obj",obj);
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WR.write("obj2", obj);
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vec.push_back(obj);
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vec.push_back(myclass(5678));
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vec.push_back(myclass(3838));
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pair = std::make_pair(myenum::red, myenum::blue);
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write(WR, "objvec", vec);
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std::cout << "-- serialisable class writing to std::cout:" << std::endl;
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std::cout << obj << std::endl;
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std::cout << "-- serialisable class comparison:" << std::endl;
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std::cout << "vec[0] == obj: " << ((vec[0] == obj) ? "true" : "false") << std::endl;
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std::cout << "vec[1] == obj: " << ((vec[1] == obj) ? "true" : "false") << std::endl;
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std::cout << "-- pair writing to std::cout:" << std::endl;
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std::cout << pair << std::endl;
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// read tests
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std::cout << "\n==== IO self-consistency tests" << std::endl;
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//// XML
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ioTest<XmlWriter, XmlReader>("iotest.xml", obj, "XML (object) ");
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ioTest<XmlWriter, XmlReader>("iotest.xml", vec, "XML (vector of objects)");
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//// binary
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ioTest<BinaryWriter, BinaryReader>("iotest.bin", obj, "binary (object) ");
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ioTest<BinaryWriter, BinaryReader>("iotest.bin", vec, "binary (vector of objects)");
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//// text
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ioTest<TextWriter, TextReader>("iotest.dat", obj, "text (object) ");
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ioTest<TextWriter, TextReader>("iotest.dat", vec, "text (vector of objects)");
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//// text
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ioTest<JSONWriter, JSONReader>("iotest.json", obj, "JSON (object) ");
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ioTest<JSONWriter, JSONReader>("iotest.json", vec, "JSON (vector of objects)");
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//// HDF5
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#ifdef HAVE_HDF5
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ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", obj, "HDF5 (object) ");
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ioTest<Hdf5Writer, Hdf5Reader>("iotest.h5", vec, "HDF5 (vector of objects)");
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#endif
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std::cout << "\n==== vector flattening/reconstruction" << std::endl;
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typedef std::vector<std::vector<std::vector<double>>> vec3d;
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vec3d dv, buf;
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double d = 0.;
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dv.resize(4);
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for (auto &v1: dv)
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{
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v1.resize(3);
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for (auto &v2: v1)
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{
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v2.resize(5);
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for (auto &x: v2)
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{
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x = d++;
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}
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}
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}
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std::cout << "original 3D vector:" << std::endl;
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std::cout << dv << std::endl;
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Flatten<vec3d> flatdv(dv);
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std::cout << "\ndimensions:" << std::endl;
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std::cout << flatdv.getDim() << std::endl;
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std::cout << "\nflattened vector:" << std::endl;
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std::cout << flatdv.getFlatVector() << std::endl;
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Reconstruct<vec3d> rec(flatdv.getFlatVector(), flatdv.getDim());
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std::cout << "\nreconstructed vector:" << std::endl;
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std::cout << flatdv.getVector() << std::endl;
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std::cout << std::endl;
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std::cout << "==== Grid tensor to vector test" << std::endl;
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tensorConvTest(rng, SpinColourMatrix);
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tensorConvTest(rng, SpinColourVector);
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tensorConvTest(rng, ColourMatrix);
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tensorConvTest(rng, ColourVector);
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tensorConvTest(rng, SpinMatrix);
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tensorConvTest(rng, SpinVector);
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}
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