2125_GCE/gx_lain/__pycache__/lain_glyph_bridge.cpython-314.pyc

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#)uüLAIN ↔ Supercharged Glyph Bridge

Connects the Supercharged Glyph Registry (LedoGlyph600) to the LAIN cognition
engine, injecting glyph metadata, frequency signatures, lineage, activation
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Determines which glyph(s) are relevant by:
1. Checking manifest["glyph_id"] if present
2. Searching glyphs by manifest["glyphs"] if present
3. Searching glyphs by manifest["tags"] if present
4. Falling back to default context if no glyph found

Args:
    manifest: GX manifest dict
    context: Execution context dict

Returns:
    Dict with glyph metadata and context fields:
    {
        "id": str,
        "name": str,
        "category": str,
        "score": int,
        "praw": dict,
        "originalMetrics": dict,
        "activation": dict,
        "lineage": dict,
        "found": bool,
        "_raw": dict,
    }
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Inject glyph metadata into a lane result.

Adds glyph fields to the lane result without overwriting existing fields.
Extends lane_result with:
- glyph_id
- glyph_name
- glyph_category
- glyph_frequency_signature (praw)
- glyph_activation_mode
- glyph_lineage_signature
- glyph_symbolic_anatomy (originalMetrics)

Args:
    lane_result: Lane result dict from lane processor
    glyph_context: Glyph context from load_glyph_context()

Returns:
    Extended lane_result dict with glyph metadata
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Compute glyph-level resonance metrics.

Combines multiple glyph measurements into unified resonance metrics:
- activation_resonance: from activation.score
- frequency_resonance: from praw vector magnitude
- symbolic_resonance: from originalMetrics resonance field
- overall_resonance: combined normalized value

Args:
    glyph_context: Glyph context from load_glyph_context()

Returns:
    Dict with resonance metrics
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