139 lines
12 KiB
Plaintext
139 lines
12 KiB
Plaintext
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/j! ã óÂ a € R t0 t R t^ RIHtHtHtHt ^ RIt^ RIH t ^ RI
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H t H t H
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t
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HtHtHt ^ RIHtHt ! R R4 tRs] ^ k R R ltR
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R R R/R
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R lltR R ltR# )z¶GlyphOS Cognitive Kernel
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Orchestrates LAIN cognition engine with Supercharged Glyph Registry.
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Provides a clean service API for executing GX files and managing glyph-aware analysis.
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)ÚOptionalÚDictÚAnyÚListN)ÚPath)Úexecute_gx_pathÚload_gxÚnormalize_segmentsÚ map_lanesÚbuild_envelopeÚexecute_with_lain)Úload_all_superchargedÚ super_statsc óæ a € ] tR t^t o RtRR/V 3R lR lltV 3R lR ltRR R
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R /V 3R lR
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lltRR R
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R /V 3R lR lltV 3R lR lt V 3R lR lt
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V 3R lR lt V 3R lR lt V 3R lR lt
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RtV tR # )ÚCognitiveKernelz¬System service for GlyphOS cognition pipeline.
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Orchestrates:
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- LAIN 8-lane symbolic cognition
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- Supercharged Glyph Registry integration
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- Result caching and introspection
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Úauto_load_glyphsTc ó <€ V ^8„ d QhRS[ /# )é r )Úbool)ÚformatÚ
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__classdict__s "€Ú0/home/dave/superdave/glyphos/cognitive_kernel.pyÚ __annotate__Ú CognitiveKernel.__annotate__ s ø€ ÷ .ñ .©Dñ .ó c óX € Wn RV n RV n RV n RV n RV n R# )z–Initialize the Cognitive Kernel.
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Args:
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auto_load_glyphs: If True, load Supercharged Glyphs during warmup.
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Defaults to True.
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NF)Ú_auto_load_glyphsÚ _last_resultÚ
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_startup_timeÚ_glyph_stats_cacheÚ
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_warmed_upÚ
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_last_mode)Úselfr s &$r Ú__init__ÚCognitiveKernel.__init__ s0 € ð "2Ô Ø6:ˆÔØ.2ˆÔØ<@ˆÔ Ø ˆŒØ)-ˆŽr c ó <€ V ^8„ d QhRR/# )r ÚreturnN© )r r s "€r r r & s ø€ ÷ ñ ˜ñ r c óÆ € V P ' d R# \ P ! 4 V n V P ' d \ 4 \ 4 V n RV n R# )z‹Perform one-time initialization.
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Loads:
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- Supercharged Glyphs (if auto_load_glyphs)
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- Registry statistics
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Records:
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- Kernel startup time
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NT)r Útimer r r
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r r ©r" s &r ÚwarmupÚCognitiveKernel.warmup& sC € ð �?�?ˆ?Ù ä !ŸYšY›[ˆÔà × !× !Ð !Ü !Ô #ô #.£-ˆÔ à ˆŽr ÚmodeÚanalyzeÚcontextNc
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ón <€ V ^8„ d QhRS[ RS[ RS[S[S[ S[3, , RS[S[ S[3, /# ©r Úgx_pathr- r/ r& ©Ústrr r r )r r s "€r r r = sH ø€ ÷ #ñ #áð#ñ ð #ñ
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™$™s¡C˜x�.Õ)ð #ñ
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‰c‘3ˆh� ñ
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#r c óš € V P ' g V P 4 T;' g / pW$R& \ WR7 pWPn W n V# )a¡ Execute a .gx file through the full cognition pipeline.
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Args:
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gx_path: Path to .gx file
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mode: Cognitive mode (e.g., "analyze", "debug")
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context: Optional execution context dict
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Returns:
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ExecutionResult dict with:
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- fused_symbol: Combined 8-lane analysis
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- output_text: Rendered analysis
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- cognition_trace: Step-by-step processing
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- diagnostics: Performance metrics + glyph resonance
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Úcognitive_mode)r/ )r r+ r r r! )r" r2 r- r/ Ú exec_contextÚresults &&$$ r Ú
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execute_gxÚCognitiveKernel.execute_gx= sJ € ð* ��ˆØ �K‰KŒMð —}�} "ˆ Ø)-Ð%Ñ&ô ! Ô?ˆð #ÔØ Œàˆ
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r c ó¶ <€ V ^8„ d QhRS[ S[S[3, RS[S[ S[S[3, , RS[RS[RS[S[ S[S[3, , RS[ S[S[3, /# )r ÚmanifestÚsegmentsÚpayloadr- r/ r& )r r4 r r Úbytesr )r r s "€r r r b sq ø€ ÷ ,ñ ,á‘s™C�x•.ð,ñ ‘t™C¡˜H•~Õ&ð,ñ ð ,ñ ð
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,ñ ™$™s¡C˜x�.Õ)ð,ñ
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‰c‘3ˆh� ñ,r c óÜ € V P ' g V P 4 T;' g / pWFR& \ W#4 p\ W4 p\ W4 p \ WW†4 p
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W n W@n V
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# )a Execute cognition on in-memory GX components (no filesystem).
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Args:
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manifest: GX manifest dict
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segments: GX segments list
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payload: Compressed GX payload bytes
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mode: Cognitive mode
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context: Optional execution context
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Returns:
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ExecutionResult dict
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r6 )r r+ r r
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r r r r! ) r" r< r= r> r- r/ r7 Únormalized_segsÚlane_assignmentsÚenveloper8 s &&&&$$ r Úexecute_symbolicÚ CognitiveKernel.execute_symbolicb sr € ð* ��ˆØ �K‰KŒMð —}�} "ˆ Ø)-Ð%Ñ&ô -¨XÓ?ˆô % XÓ?Ðô " (Ó<ˆô # 8Ð7GÓVˆð #ÔØ Œàˆ
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r c ó6 <€ V ^8„ d QhRS[ S[S[3, /# ©r r& ©r r4 r )r r s "€r r r � s ø€ ÷ ñ ¡¡c©3 h¥ ñ r c ó¤ € V P ' g V P 4 V P ;' g \ 4 pV P VR& V# )aV Get Supercharged Glyph Registry statistics.
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Returns:
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Dict with:
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- total_glyphs: 600
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- categories: List of category names
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- fields_present: All fields in registry
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- sample_ids: First 5 glyph IDs
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- loaded: Whether registry is loaded
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- load_path: Path to data file
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- kernel_startup_time: Kernel warmup timestamp
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Úkernel_startup_time)r r+ r r r )r" Ústatss & r Úget_glyph_statsÚ CognitiveKernel.get_glyph_stats� sC € ð ��ˆØ �K‰KŒMà×'Ñ'×8Ð8¬;«=ˆð (,×'9Ñ'9ˆÐ#Ñ$àˆ r c óF <€ V ^8„ d QhRS[ S[S[S[3, , /# rG ©r r r4 r )r r s "€r r r § s! ø€ ÷ !ñ !¡©$©s±C¨x.Õ!9ñ !r c ó € V P # )zYReturn the last ExecutionResult, if any.
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Returns:
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Full ExecutionResult dict or None
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)r r* s &r Úget_last_resultÚ CognitiveKernel.get_last_result§ s € ð × Ñ Ð r c óV <€ V ^8„ d QhRS[ S[S[S[S[3, , , /# rG )r r r r4 r )r r s "€r r r ¯ s& ø€ ÷ 8ñ 8¡©©d±3¹°8nÕ)=Õ >ñ 8r c óX € V P f R# V P P R4 # )zhReturn cognition_trace from last ExecutionResult, if present.
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Returns:
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List of trace steps or None
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NÚcognition_trace©r Úgetr* s &r Úget_last_traceÚ CognitiveKernel.get_last_trace¯ s+ € ð × Ñ Ò $ÙØ× Ñ ×$Ñ$Ð%6Ó7Ð7r c óF <€ V ^8„ d QhRS[ S[S[S[3, , /# rG rO )r r s "€r r r ¹ s! ø€ ÷ 5ñ 5¡x±±S¹#°XµÕ'?ñ 5r c óX € V P f R# V P P R4 # )zcReturn fused_symbol from last ExecutionResult, if present.
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Returns:
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Fused symbol dict or None
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NÚ fused_symbolrV r* s &r Úget_last_fused_symbolÚ%CognitiveKernel.get_last_fused_symbol¹ s* € ð × Ñ Ò $ÙØ× Ñ ×$Ñ$ ^Ó4Ð4r c óF <€ V ^8„ d QhRS[ S[S[S[3, , /# rG rO )r r s "€r r r à s! ø€ ÷
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ñ
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¡H©T±#±s°(^Õ$<ñ
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r c óÄ € V P f R# V P P R/ 4 pRVP R4 RVP R4 RVP R4 /# )zìReturn resonance metrics from last ExecutionResult, if present.
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Returns:
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Dict with:
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- resonance: Overall resonance metrics (if present)
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- glyph_resonance: Glyph-specific metrics (if glyph was used)
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Or None if no result
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NÚ diagnosticsÚ resonanceÚglyph_resonanceÚelapsedrV )r" ra s & r Úget_last_resonanceÚ"CognitiveKernel.get_last_resonanceà sb € ð × Ñ Ò $Ùà×'Ñ'×+Ñ+¨M¸2Ó>ˆ ð
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˜Ÿ ™ ¨Ó5Ø ˜{Ÿ™Ð/@Ó AØ �{—‘ yÓ1ð
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ð
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r )r r r! r r r )Ú__name__Ú
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__module__Ú __qualname__Ú__firstlineno__Ú__doc__r# r+ r9 rD rL rQ rX r] re Ú__static_attributes__Ú__classdictcell__)r s @r r r s• ø‡ € ñð .°4÷ .ò .÷ ð ð.#ð ð #ð
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-1÷ #ò #ðJ,ð ð
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,ð -1÷,ò ,÷\ð ÷.!ð !÷8ð 8÷5ð 5÷
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ö
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r r c ó$ € V ^8„ d QhR\ /# rG )r )r s "r r r Ü s € ÷ ñ ”Oñ r c ó^ € \ f! \ RR7 s \ P 4 \ # )z½Get or create the singleton CognitiveKernel instance.
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On first call:
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- Creates a new CognitiveKernel
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- Calls warmup() to initialize glyphs
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Returns:
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Singleton CognitiveKernel instance
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T)r )Ú_GLOBAL_KERNELr r+ r' r r Ú
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get_kernelrq Ü s& € ô Ò Ü(¸$Ô?ˆÜ× Ñ Ô ä Ðr r- r. r/ c
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ó¢ € V ^8„ d QhR\ R\ R\ \ \ \ 3, , R\ \ \ 3, /# r1 r3 )r s "r r r ï sM € ÷ Bñ BÜ
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ðBô ðBô ”dœ3¤˜8•nÕ
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%ð Bô
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Œ#Œsˆ(…^ñ Br c ó< € \ 4 pVP WVR7 # )a Convenience function: execute .gx through the global kernel.
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Equivalent to: get_kernel().execute_gx(gx_path, mode=mode, context=context)
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Args:
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gx_path: Path to .gx file
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mode: Cognitive mode
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context: Optional execution context
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