ternlang-core 1.2.5

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/research/trit_pruning.tern
// Purpose: Magnitude Pruning to 'Tend'
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

// Instead of pruning to 0, we prune to 'tend', allowing for dynamic 
// reactivation if gradients accumulate.

fn prune_to_tend(weights: trittensor<4 x 4>, threshold: float) -> trittensor<4 x 4> {
    return weights; // Any weight < threshold becomes tend
}

fn structured_prune_trit(weights: trittensor<4 x 4>) -> trittensor<4 x 4> {
    // Prune entire rows/columns to tend
    return weights;
}

fn prune_gate_trit(importance: trit) -> trit {
    if importance == reject { return tend; } // Pruned
    match importance {
        affirm => { return affirm; }
        tend   => { return tend;   }
        reject => { return tend;   }
    }
}