generate_compute_data_indices()

template<ComputeData T>

std::vector< std::vector< size_t > > MayaFlux::Yantra::generate_compute_data_indices	(	const Datum< T > &	data,
		SortingDirection	direction
	)

Generate sort indices for any ComputeData type.

Template Parameters

T	ComputeData type

Parameters

data	Data to generate indices for
direction	Sort direction

Returns

Vector of index vectors (one per channel)

Definition at line 128 of file SortingHelper.hpp.

{
    if constexpr (RequiresContainer<T>) {
        auto channels = OperationHelper::extract_numeric_data(data.data, data.container.value());
        return Kinesis::Discrete::channels_sort_indices(channels, direction);
    }
 
    if constexpr (SingleVariant<T>) {
        auto channel = OperationHelper::extract_numeric_data(data.data);
        return { Kinesis::Discrete::span_sort_indices({ channel }, direction) };
    } else {
        auto channels = OperationHelper::extract_numeric_data(data.data, data.needs_processig());
        return Kinesis::Discrete::channels_sort_indices(channels, direction);
    }
}

References MayaFlux::Kinesis::Discrete::channels_sort_indices(), MayaFlux::Yantra::Datum< T >::container, MayaFlux::Yantra::Datum< T >::data, MayaFlux::Yantra::OperationHelper::extract_numeric_data(), MayaFlux::Yantra::Datum< T >::needs_processig(), and MayaFlux::Kinesis::Discrete::span_sort_indices().

Referenced by MayaFlux::Yantra::StandardSorter< InputType, OutputType >::sort_indices_only().

Here is the call graph for this function:

Here is the caller graph for this function: