"""
Clarity Scorer — ΔS Computation

F2 DeltaS measures clarity change:
- ΔS > 0: Clarity increased (good)
- ΔS = 0: No change (neutral)
- ΔS < 0: Confusion increased (VOID)

v46 Trinity Orthogonal: ΔS belongs to AGI (Δ) kernel.

DITEMPA BUKAN DIBERI
"""

from typing import Optional


def compute_delta_s(
    input_text: str,
    output_text: str,
    context: Optional[dict] = None,
) -> float:
    """
    Compute ΔS (clarity delta) between input and output.

    Placeholder implementation. Full implementation requires:
    - Token entropy analysis
    - Semantic coherence measurement
    - Information density calculation

    Args:
        input_text: User input (initial state)
        output_text: AI output (final state)
        context: Optional context for state tracking

    Returns:
        ΔS value (positive = clarity increase, negative = confusion)
    """
    # Stub: assume neutral responses slightly reduce entropy
    # Real implementation would analyze:
    # - Semantic coherence (embedding similarity)
    # - Lexical complexity (Flesch-Kincaid, etc.)
    # - Information redundancy (compression ratio)

    if context and "delta_s" in context.get("metrics", {}):
        return context["metrics"]["delta_s"]

    # Default: slight clarity increase (0.1)
    return 0.1


__all__ = ["compute_delta_s"]
