ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/timeseries/features.tern
// Purpose: Time Series Features
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Lags, rolling means, EWMA. If data is missing, 'tend' propagates.

fn lag_trit(series: trit[], lag_amount: int) -> trit[] {
    // Shifts sequence by lag_amount. Fills missing with 'tend'.
    return series;
}

fn rolling_mean_trit(window: trit[]) -> trit {
    // If window has too many tends, return tend
    return affirm;
}

fn ewm_trit(series: trit[], alpha: float) -> trit[] {
    // Exponential moving average.
    return series;
}

fn autocorr_trit(series: trit[], lag: int) -> trit {
    // Autocorrelation
    return affirm; // High autocorrelation
}