linearized_view() [1/2]

template<typename T >

std::span< T > MayaFlux::Memory::HistoryBuffer< T >::linearized_view ( )

inline

Get mutable linearized view of entire history.

Returns

Mutable span ordered [newest → oldest], size = capacity

Always returns full-size span (size = capacity), even if fewer elements have been pushed. This matches mathematical convention where y[n-k] is defined for all k < N with initial conditions = 0.

Definition at line 536 of file RingBuffer.hpp.

    {
        for (size_t i = 0; i < m_count; ++i) {
            m_linear_view[i] = m_data[(m_head + i) % m_capacity];
        }
        return { m_linear_view.data(), m_count };
    }

References MayaFlux::Memory::HistoryBuffer< T >::m_capacity, MayaFlux::Memory::HistoryBuffer< T >::m_count, MayaFlux::Memory::HistoryBuffer< T >::m_data, MayaFlux::Memory::HistoryBuffer< T >::m_head, and MayaFlux::Memory::HistoryBuffer< T >::m_linear_view.

Referenced by MayaFlux::Kinesis::SymbolicTrajectory< LatticeT, CellT >::crossings_in_window(), MayaFlux::Kinesis::SymbolicTrajectory< LatticeT, CellT >::dominant_cell(), MayaFlux::Nodes::Generator::Polynomial::process_sample(), MayaFlux::Kinesis::SymbolicTrajectory< LatticeT, CellT >::unique_cells_in_window(), MayaFlux::Nodes::Generator::Polynomial::update_context(), MayaFlux::Kinesis::Stochastic::Estimate::update_mad(), MayaFlux::Kinesis::Stochastic::Estimate::update_quiet_period(), MayaFlux::Kinesis::Stochastic::Estimate::update_rolling_variance(), and MayaFlux::Kinesis::Stochastic::Estimate::update_trend().

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