extract_group_data()

template<typename T >

std::vector< std::vector< T > > MayaFlux::Kakshya::extract_group_data	(	const std::vector< std::span< const T > > &	source_spans,
		const RegionGroup &	group,
		const std::vector< DataDimension > &	dimensions,
		OrganizationStrategy	organization
	)

Extract data for multiple regions from multi-channel source data.

Template Parameters

T	Data type.

Parameters

source_spans	Vector of source data spans (one per channel).
group	Group of regions to extract.
dimensions	Dimension descriptors.
organization	Storage organization strategy.

Returns

Vector of vectors, each containing extracted data for one region.

Definition at line 146 of file RegionUtils.hpp.

{
    std::vector<std::vector<T>> result;
    result.reserve(group.regions.size());
 
    for (const auto& region : group.regions) {
        auto region_data = extract_region_data<T>(source_spans, region, dimensions, organization);
 
        if (organization == OrganizationStrategy::INTERLEAVED) {
            if (result.empty())
                result.resize(1);
 
            for (size_t i = 0; i < region_data[0].size(); i++) {
                result[0].push_back(region_data[0][i]);
            }
        } else {
            if (result.empty())
                result.resize(region_data.size());
 
            auto channel_pairs = std::views::zip(result, region_data);
            auto total_sizes = channel_pairs | std::views::transform([](auto&& pair) {
                return std::get<0>(pair).size() + std::get<1>(pair).size();
            });
 
            size_t i = 0;
            for (auto size : total_sizes) {
                result[i].reserve(size);
                std::ranges::copy(region_data[i],
                    std::back_inserter(result[i]));
                ++i;
            }
        }
    }
 
    return result;
}

References INTERLEAVED, and MayaFlux::Kakshya::RegionGroup::regions.