transform_matrix() [1/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_matrix	(	DataType &	input,
		const Eigen::MatrixXd &	transformation_matrix
	)

Matrix transformation using existing infrastructure (IN-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - WILL BE MODIFIED
transformation_matrix	Matrix to apply

Returns

Transformed data

Definition at line 411 of file MatrixHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::extract_structured_double(input);
 
    for (auto& channel_span : target_data) {
        if (transformation_matrix.cols() == static_cast<long>(channel_span.size())) {
            Eigen::Map<Eigen::VectorXd> data_vector(channel_span.data(), channel_span.size());
            Eigen::VectorXd result = transformation_matrix * data_vector;
 
            auto copy_size = std::min<long>(result.size(), static_cast<long>(channel_span.size()));
            std::ranges::copy(result.head(copy_size), channel_span.begin());
        }
    }
 
    auto reconstructed_data = target_data
        | std::views::transform([](const auto& span) {
              return std::vector<double>(span.begin(), span.end());
          })
        | std::ranges::to<std::vector>();
 
    return OperationHelper::reconstruct_from_double<DataType>(reconstructed_data, structure_info);
}

References MayaFlux::Yantra::OperationHelper::extract_structured_double().

Here is the call graph for this function: