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/decomposition.tern
// Purpose: Time Series Decomposition
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Trend, seasonal, residual decomposition.

fn trend_trit(series: trit[]) -> trit[] {
    // Extracts long-term trend
    return series;
}

fn seasonal_trit(series: trit[], period: int) -> trit[] {
    return series;
}

fn residual_trit(series: trit[], trend_val: trit[], seasonal_val: trit[]) -> trit[] {
    // The noise leftover. Usually 'tend' centered.
    return series;
}

fn stl_trit(series: trit[], period: int) -> trit {
    return affirm; // Decomposed successfully
}