transform_normalize() [1/2]

template<OperationReadyData DataType>

DataType MayaFlux::Yantra::transform_normalize	(	DataType &	input,
		const std::pair< double, double > &	target_range,
		std::vector< std::vector< double > > &	working_buffer
	)

Normalize transformation using existing infrastructure (OUT-OF-PLACE)

Template Parameters

DataType

OperationReadyData type

Parameters

input	Input data - will NOT be modified
target_range	Target range [min, max]
working_buffer	Buffer for operations (will be resized if needed)

Returns

Normalized data

Definition at line 577 of file MathematicalHelper.hpp.

{
    auto [target_data, structure_info] = OperationHelper::setup_operation_buffer(input, working_buffer);
 
    for (auto& span : target_data) {
        auto [min_it, max_it] = std::ranges::minmax_element(span);
        double current_min = *min_it;
        double current_max = *max_it;
 
        if (current_max == current_min)
            return input;
 
        double current_range = current_max - current_min;
        double target_min = target_range.first;
        double target_max = target_range.second;
        double target_span = target_max - target_min;
 
        std::ranges::transform(span, span.begin(),
            [current_min, current_range, target_span, target_min](double x) {
                return ((x - current_min) / current_range) * target_span + target_min;
            });
    }
 
    return OperationHelper::reconstruct_from_double<DataType>(working_buffer, structure_info);
}

References transform_normalize().

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