reconstruct_from_double() [1/2]

template<ComputeData T>
requires (!is_IO<T>::value)

static T MayaFlux::Yantra::OperationHelper::reconstruct_from_double ( const std::vector< std::vector< double > > &  double_data, const DataStructureInfo &  structure_info  )

inlinestatic

Reconstruct ComputeData type from double vector and structure info.

Template Parameters

T	Target ComputeData type

Parameters

double_data	Processed double vector
structure_info	Original structure metadata

Returns

Reconstructed data of type T

Definition at line 254 of file OperationHelper.hpp.

    {
        if constexpr (std::is_same_v<T, std::vector<std::vector<double>>>) {
            return double_data;
        } else if constexpr (std::is_same_v<T, Eigen::MatrixXd>) {
            return recreate_eigen_matrix(double_data, structure_info);
        } else if constexpr (std::is_same_v<T, std::vector<Kakshya::DataVariant>>) {
            std::vector<Kakshya::DataVariant> variants;
            variants.reserve(double_data.size());
            for (const auto& vec : double_data) {
                variants.emplace_back(vec);
            }
            return variants;
        } else if constexpr (std::is_same_v<T, Kakshya::DataVariant>) {
            auto data = Kakshya::interleave_channels<double>(double_data);
            return reconstruct_data_variant_from_double(data, structure_info);
        } else {
            error<std::runtime_error>(Journal::Component::Yantra, Journal::Context::Runtime, std::source_location::current(), "Reconstruction not implemented for target type {}", structure_info.original_type.name());
            return T {};
        }
    }

References MayaFlux::Yantra::DataStructureInfo::original_type, reconstruct_data_variant_from_double(), recreate_eigen_matrix(), MayaFlux::Journal::Runtime, and MayaFlux::Journal::Yantra.

Here is the call graph for this function: