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Fixed existing bug in Hdf5Reader::readDefault for std::vector<U>

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This commit is contained in:
Michael Marshall
2019-02-16 18:45:46 +00:00
parent 00e9416e0a
commit 74a3a5b825
3 changed files with 36 additions and 23 deletions
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23
tests/IO/Test_serialisation.cc
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@@ -101,20 +101,6 @@ void ioTest(const std::string &filename, const O &object, const std::string &nam
}
#ifdef DEBUG
template <typename T>
//typename std::enable_if<EigenIO::is_tensor<T>::value, void>::type
void dump_tensor(T & t)
{
using Traits = typename EigenIO::Traits<typename T::Scalar>;
for_all( t, [&](typename Traits::scalar_type &c, typename T::Index index, const std::size_t * pDims ){
std::cout << " ";
for( int i = 0 ; i < t.NumDimensions + Traits::rank_non_trivial; i++ )
std::cout << "[" << pDims[i] << "]";
std::cout << " = " << c << std::endl;
} );
std::cout << "========================================" << std::endl;
}
//typedef int TestScalar;
typedef std::complex<double> TestScalar;
typedef Eigen::Tensor<iMatrix<TestScalar,1>, 6> TestTensorSingle;
@@ -159,8 +145,7 @@ bool EigenIOTest(void) {
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, TestTensor>("iotest_tensor.h5", t, "eigen_tensor_instance_name");
std::cout << "t:";
dump_tensor(t);
dump_tensor(t, "t");
// Now serialise a fixed size tensor
using FixedTensor = Eigen::TensorFixedSize<TestScalar, Eigen::Sizes<8,4,3>>;
@@ -173,8 +158,7 @@ bool EigenIOTest(void) {
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, FixedTensor>("iotest_tensor_fixed.h5", tf, "eigen_tensor_fixed_name");
std::cout << "tf:";
dump_tensor(tf);
dump_tensor(tf, "tf");
ETSerClass o;
ioTest<Hdf5Writer, Hdf5Reader, ETSerClass>("iotest_object.h5", o, "ETSerClass_object_instance_name");
@@ -192,8 +176,7 @@ bool EigenIOTest(void) {
Val += Inc;
}
ioTest<Hdf5Writer, Hdf5Reader, LSCTensor>("iotest_LSCTensor.h5", l, "LSCTensor_object_instance_name");
std::cout << "l:";
dump_tensor(l);
dump_tensor(l, "l");
// Tensor of spin colour
LCMTensor l2;