processing_function()

void MayaFlux::Buffers::StreamSliceProcessor::processing_function ( const std::shared_ptr< Buffer > &  buffer )

overridevirtual

The core processing function that must be implemented by derived classes.

Parameters

buffer

Buffer to process

This method is where the actual transformation logic is implemented. It should contain the algorithmic details of how the buffer's data is transformed, analyzed, or processed. The implementation can utilize any backend capabilities available to the processor, including:

• Parallel Processing: Using multi-threading or GPU compute for large datasets
• Data Transformations: Applying mathematical operations, filters, or effects
• Feature Extraction: Analyzing data characteristics for further processing

Derived classes must override this method to provide specific processing behavior.

Implements MayaFlux::Buffers::BufferProcessor.

Definition at line 110 of file StreamSliceProcessor.cpp.

{
    auto audio = std::dynamic_pointer_cast<AudioBuffer>(buffer);
    if (!audio)
        return;
 
    const uint32_t ch = audio->get_channel_id();
    auto& dst = audio->get_data();
    std::ranges::fill(dst, 0.0);
 
    for (auto& slot : m_slots) {
        if (!slot.slice.active || !slot.slice.stream || !slot.proc)
            continue;
 
        slot.proc->process(slot.slice.stream);
 
        const auto& pd = slot.slice.stream->get_dynamic_data(slot.proc->get_slot_index());
        if (pd.empty())
            continue;
 
        const auto structure = slot.slice.stream->get_structure();
        std::vector<double> tmp(dst.size(), 0.0);
        Kakshya::extract_processed_data(pd, structure.organization, structure.get_channel_count(), ch, tmp);
 
        for (size_t s = 0; s < dst.size(); ++s)
            dst[s] += tmp[s];
    }
}

References MayaFlux::Kakshya::extract_processed_data(), and m_slots.

Here is the call graph for this function: