272 lines
22 KiB
Plaintext
272 lines
22 KiB
Plaintext
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R*jãD ã ó € ^ RI Ht ^ RIHtHtHtHtHt ^ RIt^ RI t ^ RI
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t
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^ RI H t Rt
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]
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P ! ]4 tR R ltR R ltR
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R ltR R
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ltR R ltR R R lltR R ltR R ltR R ltR R ltR R R lltR R R llt R# ) é )Ú annotations)ÚDictÚListÚTupleÚAnyÚOptionalN)ÚPathz1.0c ó € V ^8„ d QhRRRR/# )é ÚpathÚstrÚreturnz Tuple[dict, List[dict], bytes]© )Úformats "Ú'/home/dave/superdave/gx_lain/runtime.pyÚ __annotate__r
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s € ÷ 'ñ '�#ð 'Ð8ñ 'ó c ó´ € ^ RI Hp V! V 4 w r#VP R/ 4 pVP R. 4 pV' g \ P RV R24 W%V3# )aƒ Load a .gx file and return (manifest, segments, payload).
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Thin wrapper around runtime_executor.gx_loader.load_gx().
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Reconstructs segments list from manifest['codex_lineage']['segments'].
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Args:
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path: Path to .gx file
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Returns:
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Tuple of (manifest, segments_list, payload_bytes)
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Raises:
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FileNotFoundError: If .gx file doesn't exist
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RuntimeError: If manifest is malformed
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)Úload_gxÚ
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codex_lineageÚsegmentszNo segments found in z , continuing with empty list)Úruntime_executor.gx_loaderr ÚgetÚloggerÚwarning)r Úloader_load_gxÚmanifestÚpayloadr r s & r r r
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s^ € õ Eá& tÓ,Ñ€Hð —L‘L °"Ó5€MØ × Ñ ¨RÓ0€Hç Ü�‰Ð.¨t¨fÐ4PÐQÔRà ˜wÐ &Ð&r c ó( € V ^8„ d QhRRRRRRRR/# )r r ÚdictÚ raw_segmentsú
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List[dict]r Úbytesr r )r s "r r r + s0 € ÷ :ñ :Øð:à ð:ð ð:ð ñ :r c ó² € . pV FÎ p\ VP RR4 4 p\ VP R^ 4 4 p\ VP R^ 4 4 pVP R4 pVe
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\ V4 p M \ V4 p \ ^ \ ^V 4 4 p \
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V4 p
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RV RV RV R 2p RVR
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VR VR V R
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V RV
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RV/p VP V 4 KÐ V# )a{ Normalize raw segments into canonical Segment schema.
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Converts raw segment metadata from codex_lineage.segments into normalized form
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with required keys: id, start_line, end_line, text, symbolic_lane, semantic_role.
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Assumptions:
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- Raw segments have: id, start, end (0-based line indices)
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- Optional: lane, role metadata
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- Text extraction is stubbed (reserved for future payload analysis)
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Args:
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manifest: GX manifest dict
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raw_segments: List of raw segment dicts from codex_lineage
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payload: Compressed payload bytes (reserved for text extraction)
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Returns:
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List of normalized segment dicts conforming to Segment schema
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ÚidÚunknownÚstartÚendÚlanez [segment z: lines u –Ú]Ú
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start_lineÚend_lineÚtextÚ
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symbolic_laneÚ
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semantic_roleÚ_raw)r
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r ÚintÚ _infer_laneÚmaxÚminÚ_infer_semantic_roleÚappend)
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r r! r Ú
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normalizedÚraw_segÚseg_idr+ r, Ú
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explicit_laner. r/ r- Únormalized_segs
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&&& r Únormalize_segmentsr< + sþ € ð. €Jã ˆÜ�W—[‘[ yÓ1Ó2ˆÜ˜Ÿ™ W¨aÓ0Ó1ˆ
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Ü�w—{‘{ 5¨!Ó,Ó-ˆð Ÿ ™ FÓ+ˆ
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Ø Ò $Ü
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Ó .‰Mä '¨Ó 0ˆMô ˜Aœs 1 mÓ 4Ó5ˆ
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ô -¨WÓ5ˆ
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ð ˜6˜( (¨:¨,°c¸(¸À1ÐEˆð
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�&Ø ˜*Ø ˜Ø �DØ ˜]Ø ˜]Ø �Gð
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ˆð ×ј.Ö)ñ? ðB Ðr c ó € V ^8„ d QhRRRR/# )r Úsegmentr r r1 r )r s "r r r h s € ÷ (
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ñ (
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˜ð (
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#ñ (
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r c óî a€ \ V P RR4 4 P 4 o\ ;QJ d V3R lR
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4 F ' g K RM RM! V3R lR
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4 4 ' d ^ # \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d ^# \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d ^# \ ;QJ d V3R lR
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4 F ' g K RM RM! V3R lR
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4 4 ' d ^# \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d ^# ^# )u= Infer lane assignment from segment metadata (heuristic).
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Rules (minimum viable):
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- Structural markers → lane 0
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- Main content → lane 1 (default)
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- Comments/annotations → lane 3
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- Hints → lane 4
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- Author/meta → lane 6
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- Time/epoch → lane 7
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Args:
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segment: Raw segment dict
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Returns:
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Lane id 0–7
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r% Ú c 3 ó, <" € T F qS9 x € K R # 5i©Nr ©Ú.0Úxr9 s & €r Ú <genexpr>Ú _infer_lane.<locals>.<genexpr>| ó øé € Ð
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OÑ N˜1�Ž;Ó Nùó ƒTFc 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rG € s øé € Ð
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AÑ @˜1�Ž;Ó @ùrI c 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rG „ ó øé € Ð
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@Ñ ?˜1�Ž;Ó ?ùrI c 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rG ˆ rL rI c 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rG Œ s øé € Ð
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EÑ D˜1�Ž;Ó DùrI )ÚstructÚclassÚdefÚheaderrR )ÚcommentÚ
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annotationÚtag)ÚhintÚnoteÚtipÚwarn)ÚmetaÚauthorÚ signature)ÚepochÚtimeÚdateÚversion©r
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r ÚlowerÚany©r> r9 s &@r r2 r2 h sð ø€ ô" �—‘˜T 2Ó&Ó
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'×
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-Ñ
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/€F÷ ƒsÔ
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OÑ NÓ
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O‡s‡s‚sÔ
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OÑ NÓ
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O×OÒOÙ÷ ƒsÔ
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AÑ @Ó
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A‡s‡s‚sÔ
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AÑ @Ó
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A×AÒAÙ÷ ƒsÔ
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@×@Ò@Ù÷ ƒsÔ
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EÑ DÓ
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E‡s‡s‚sÔ
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EÑ DÓ
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E×EÒEÙñ
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r c ó € V ^8„ d QhRRRR/# )r r> r r r
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r )r s "r r r “ s € ÷ ñ $ð ¨3ñ r c ój a€ \ V P RR4 4 P 4 o\ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d R# \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d R# \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d R
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# \ ;QJ d V3R lR 4 F ' g K RM RM! V3R lR 4 4 ' d R # R
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# )z«Infer semantic role from segment metadata (heuristic).
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Args:
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segment: Raw segment dict
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Returns:
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One of: "definition", "constraint", "example", "meta", "unknown"
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r% r@ c 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF Ú'_infer_semantic_role.<locals>.<genexpr>ž s øé € Ð
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LÑ K˜1�Ž;Ó KùrI TFÚ
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definitionc 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rh ¡ rH rI Ú
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constraintc 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rh ¤ s øé € Ð
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FÑ E˜1�Ž;Ó EùrI Úexamplec 3 ó, <" € T F qS9 x € K R # 5irB r rC s & €r rF rh § s øé € Ð
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QÑ P˜1�Ž;Ó PùrI rZ r& )rQ rP ÚfunctionÚ declaration)rk ÚruleÚ assertionÚrequire)rm ÚtestÚsampleÚdemo)rZ rW rS rT rU ra rd s &@r r5 r5 “ s¾ ø€ ô �—‘˜T 2Ó&Ó
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'×
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-Ñ
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/€Fç
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ƒsÔ
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LÑ KÓ
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L‡s‡s‚sÔ
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LÑ KÓ
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L×LÒLÙç
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ƒsÔ
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OÑ NÓ
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O‡s‡s‚sÔ
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O×OÒOÙç
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ƒsÔ
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FÑ EÓ
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F‡s‡s‚sÔ
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FÑ EÓ
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F×FÒFÙç
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QÑ PÓ
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QÑ PÓ
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Q×QÒQÙá r c ó € V ^8„ d QhRRRR/# )r r r" r úDict[int, List[dict]]r )r s "r r r s € ÷ ñ ˜
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ð Ð'<ñ r c óÔ € \ ^4 Uu/ uF q. bK ppV FB pVP R^4 p\ ^ \ ^V4 4 pW$, P V4 KD V# u upi )uø Map normalized segments into 0–7 lane model.
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Organizes segments by symbolic_lane into a dict where:
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- Keys: lane numbers 0–7
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- Values: lists of segments assigned to that lane
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Lane semantics (from spec):
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- 0: structural_logic
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- 1: semantic_flow
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- 2: compression_residue
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- 3: symbolic_metadata
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- 4: execution_hints
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- 5: predictive_scaffolding
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- 6: contributor_imprint
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- 7: epoch_resonance
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Args:
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segments: List of normalized segment dicts
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Returns:
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Dict[int, List[dict]] where keys are 0–7
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r. )Úranger r3 r4 r6 )r ÚiÚlanesÚsegr) s & r Ú map_lanesr~ sf € ô. 49¸´8Ó#<±8¨a r¢E±8€EÐ#<ãˆØ�w‰w�¨Ó*ˆä�1”c˜!˜T“lÓ#ˆØ
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� ×ј3Ö ñ ð €Lùò $=s Ž A%c
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ó, € V ^8„ d QhRRRRRRRRR R/# )
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r r r r| rx r r# ÚcontextúOptional[dict]r r )r s "r r r Ï s: € ÷ 'ñ 'Øð'à ð'ð ð'ð ð 'ð
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ñ 'r c ó € Vf / pRVP R/ 4 RV P RR4 RVP R4 RVP RR4 RVP R\ \ P ! 4 4 4 R\ /pR V R
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VR VR V/pV# )
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uà Build ExecutionEnvelope for LAIN from components.
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Constructs the envelope that LAIN will consume. The envelope is immutable
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from LAIN's perspective and includes all necessary context.
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Args:
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manifest: GX manifest dict
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lanes: Dict[int, List[dict]] where keys are lane ids 0–7
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payload: Compressed payload bytes
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context: Optional context overrides (runtime_flags, epoch, cognitive_mode, invocation_id)
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Returns:
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ExecutionEnvelope dict ready for LAIN.execute()
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Ú
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runtime_flagsÚ contributorr& r] Úcognitive_modeÚanalyzeÚ
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invocation_idÚinterface_versionr r| r r€ )r r
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ÚuuidÚuuid4ÚINTERFACE_VERSION)r r| r r€ Ú base_contextÚenvelopes &&&& r Úbuild_enveloperŽ Ï s› € ð( ‚؈𠘟™ _°bÓ9Ø�x—|‘| M°9Ó=Ø�—‘˜WÓ%ؘ'Ÿ+™+Ð&6¸ ÓBؘŸ™ _´c¼$¿*º*»,Ó6GÓHØÔ .ð
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€Lð �HØ�Ø�7Ø�<ð €Hð €Or c ó € V ^8„ d QhRRRR/# )r Ú lane_resultsúDict[int, dict]r r r )r s "r r r ù s € ÷ 5ñ 5˜_ð 5°ñ 5r c ó” € . p. p. p. p\ V P 4 4 F� pW, pVP R4 ' d VP VR, 4 VP VP R. 4 4 VP VP R. 4 4 VP VP R. 4 4 KŸ V' d RP V4 pMRp\
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\ P V4 4 R, p\
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\ P V4 4 p \
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\ P V4 4 p
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RVRVRV RV
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/# )a* Fuse lane results into final fused_symbol.
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Merges summaries, key_points, constraints, and open_questions
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from all lanes into a single coherent representation.
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Args:
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lane_results: Dict[lane_id, lane_result]
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Returns:
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Fused symbol dict with summary, key_points, constraints, open_questions
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ÚsummaryÚ
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key_pointsÚ constraintsÚopen_questionsz | zNo lanes processed:Né
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N) ÚsortedÚkeysr r6 ÚextendÚjoinÚlistr Úfromkeys) r� Ú summariesÚall_key_pointsÚall_constraintsÚ
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all_questionsÚlane_idÚresultÚcombined_summaryÚunique_key_pointsÚunique_constraintsÚunique_questionss & r Ú
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fuse_lanesr¨ ù s3 € ð €IØ€NØ€OØ€Mä˜,×+Ñ+Ó-Ö.ˆØ Õ&ˆð �:‰:�i× Ò Ø × Ñ ˜V IÕ .Ô /ð × Ñ ˜fŸj™j¨ °rÓ :Ô;ð × Ñ ˜vŸz™z¨-¸Ó <Ô=ð × Ñ ˜VŸZ™ZÐ(8¸"Ó =Ö>ñ /÷" Ø Ÿ:™: iÓ0Ñà/Ðô œTŸ]™]¨>Ó :Ó;¸CÕ@Ðô œdŸm™m¨OÓ <Ó=Ðô œDŸM™M¨-Ó 8Ó9Ðð Ð#ØÐ'ØÐ)ØÐ*ð ð r c ó$ € V ^8„ d QhRRRRRR/# )r r� r‘ r€ úDict[str, Any]r r r )r s "r r r 1 s" € ÷ ñ Oð ¸nð ÐQUñ r c óÐ € / p\ V P 4 4 FF pW, p\ VP RR4 P 4 4 pV' d RMRVRV 2& KH V# )zõCompute resonance metrics for lanes.
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Simple rule: resonance[lane] = 1.0 if lane produced content, else 0.0
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Args:
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lane_results: Dict[lane_id, lane_result]
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context: Execution context
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Returns:
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Dict[str, float] with resonance metrics
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r“ r@ g ð?g Úlane_)r˜ r™ Úboolr Ústrip)r� r€ Ú resonancer¢ r£ Ú has_contents && r Úcompute_resonancer± 1 sf € ð €Iä˜,×+Ñ+Ó-Ö.ˆØ Õ&ˆô ˜6Ÿ:™: i°Ó4×:Ñ:Ó<Ó=ˆ ß.9¡s¸sˆ �E˜'˜Ð#Ó$ñ /ð Ðr c ó$ € V ^8„ d QhRRRRRR/# )r Ú fused_symbolr r€ rª r r
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r )r s "r r r I s! € ÷ + ñ + Tð + °Nð + Àsñ + r c óÞ € VP RR4 pVP 4 pV P RR4 pRV R2V .pV P R. 4 pV' dG VP R4 VP R 4 VR
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, F pVP R V 24 K V P R . 4 pV' dG VP R4 VP R
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4 VR
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, F p VP R V 24 K V P R. 4 p
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V
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' dG VP R4 VP R4 V
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R
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, F p VP RV 24 K RP V4 # )zÊRender human-facing output text from fused_symbol.
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Format varies by cognitive_mode.
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Args:
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fused_symbol: Fused symbol dict
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context: Execution context
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Returns:
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Human-readable output string
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r… r† r“ z
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No summaryÚ[r* r” r@ z Key Points::Né Nu • r• z Constraints:r– zOpen Questions:z ? Ú
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)r Úupperr6 r› ) r³ r€ ÚmodeÚ
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