Permite personalizar ventana de estabilidad para RE’MESH #5
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Sep 12, 2025
Intento: evitar repetición al inicializar métricas de fase Operadores implicados: [Autoorganización] Invariantes afectados: [#5] Cambios clave: helper _ensure_hist_deque y uso en coordinate_global_local_phase Riesgos/disonancias previstas: mínima, contenida por pruebas Métricas: sin cambio esperado Pruebas: existentes Mapa de equivalencias: n/a
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Sep 12, 2025
Intento: Aislar acumulación Kahan para fases vecinas mejorando coherencia numérica Operadores implicados: [Coherencia, Acoplamiento] Invariantes afectados: [#5] Cambios clave: - Añade helper privado _accumulate_cos_sin - Refactoriza _phase_mean_from_iter y neighbor_phase_mean_list Riesgos/disonancias previstas: posible costo extra en Python; mitigado con NumPy. Métricas: C(t), Si, νf, fase sin cambios Pruebas: tests/test_neighbors_map_cache.py; tests/test_neighbor_phase_mean_missing_trig.py; tests/test_neighbor_phase_mean_no_graph.py; tests/test_neighbor_phase_mean_performance.py Mapa de equivalencias: N/A
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Sep 12, 2025
Operators involved: [Self-organization] Affected invariants: [#5, #7] Key changes: - expose accumulate_cos_sin for phase math reuse - reuse helper in neighbor_phase_mean_list and legacy wrapper - export helper via helpers package and add regression test Expected risks/dissonances: minimal, covered by tests Metrics: C(t) stable; phase handling unchanged Equivalence map: _accumulate_cos_sin -> accumulate_cos_sin
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Sep 13, 2025
Intent: Ensure coupling coherence by validating shared graph\nOperators involved: [Coupling]\nAffected invariants: [#5]\nKey changes: Added graph equality check in add_edge; added test for cross-graph validation\nExpected risks/dissonances: None\nMetrics: No change expected in C(t), Si, vf, phase\nEquivalence map: None
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Sep 13, 2025
Operators involved: [Coherence] Affected invariants: [#5, #8] Key changes: - add _neighbor_phase_mean_core - delegate neighbor_phase_mean_list and _neighbor_phase_mean to core - extend neighbor_phase_mean tests Expected risks/dissonances: refactor may mis-handle numpy/no numpy paths; covered by tests Metrics: C(t), Si, νf, phase unchanged; averaging more explicit Equivalence map: none
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Sep 13, 2025
Intent: enforce coherent coupling rules across TNFR graphs Operators involved: [Coupling] Affected invariants: [#5] Key changes: - return resolved edge strategy alongside callbacks - apply strategy check to block mixed-graph TNFR connections - regression tests for custom callback edges Expected risks/dissonances: minimal; internal API signature change contained by tests Metrics: C(t), Si, vf, phase remain invariant Equivalence map: none
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Sep 14, 2025
Intent: reduce phase metric recomputation Operators involved: [Coherence] Affected invariants: [#5, #9] Key changes: - expose kuramoto_metrics wrapper for R and ψ - reuse metrics in phase_sync and kuramoto_order - cover shared-metrics path with tests Expected risks/dissonances: observers depend on kuramoto_R_psi correctness Metrics: R, ψ stable Equivalence map: kuramoto_metrics -> kuramoto_R_psi
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Sep 14, 2025
Intent: unify neighbor phase helpers for reuse Operators involved: [Coupling, Resonance] Affected invariants: [#5] Key changes: - Added _neighbor_phase_mean_generic to handle nodes or neighbor lists - Refactored neighbor_phase_mean_list and neighbor_phase_mean to use new helper - Updated tests to delegate through the generic helper Expected risks/dissonances: minimal; ensure trig cache remains valid Metrics: phase coherence consistent; no change expected Equivalence map: none
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Sep 14, 2025
Operators involved: [Coherence] Affected invariants: [#5] Key changes: - annotate NumPy vs Python test scenario Expected risks/dissonances: none Metrics: phase metric unchanged Equivalence map: none
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Sep 14, 2025
Intent: streamline phase synchrony observer to avoid repeated optional imports and improve efficiency. Operators involved: [Coherence] Affected invariants: [#5] Key changes: - compute optional numpy dependency once at module load - reuse cached dependency in phase_sync to avoid repeated optional imports Expected risks/dissonances: minimal; ensures fallback variance computation when NumPy absent to contain risk. Metrics: phase metric unchanged; C(t) stable Equivalence map: None
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Sep 15, 2025
Operators involved: [Resonance, Coherence] Affected invariants: [#5] Key changes: - Cache numpy module once at the start of _neighbor_phase_mean_generic - Add regression test confirming cached numpy reuse and identical phase results Expected risks/dissonances: Low; fallback path validated via tests Metrics: Phase mean remains stable; reduced dependency fetch overhead Equivalence map: None
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Sep 15, 2025
Operators involved: [Coupling|Resonance] Affected invariants: [#5, #9] Key changes: - centralize neighbor_phase_mean helpers in tnfr.metrics.trig and re-export lazily - update helpers, dynamics, operators, and benchmarks to consume the shared module - refresh neighbor phase tests to target the new module path and keep cache coverage Expected risks/dissonances: minor import order regressions mitigated with lazy wrappers Metrics: phase aggregation helpers remain shared; neighbor cache reuse verified via pytest Equivalence map: tnfr.helpers.numeric.neighbor_phase_mean -> tnfr.metrics.trig.neighbor_phase_mean
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Sep 15, 2025
Operators involved: [Coherence, Coupling] Affected invariants: [#5, #8] Key changes: - Rename tnfr.metrics.trigonometry module to trig_cache and update imports - Document split between trig.py helpers and trig_cache cosine/sine storage - Align phase-related tests with the new module name Expected risks/dissonances: Minimal; import paths updated consistently and covered by tests Metrics: Phase means and Si computations remain stable (validated via targeted pytest suite) Equivalence map: tnfr.metrics.trigonometry -> tnfr.metrics.trig_cache
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Sep 15, 2025
Operators involved: [Resonance, Coherence] Affected invariants: [#5] Key changes: - Remove trigonometric wrappers from helpers.numeric in favor of metrics.trig - Update helpers package exports to drop removed utilities - Point accumulate_cos_sin test to tnfr.metrics.trig implementation Expected risks/dissonances: Minimal risk of stale imports; pytest will flag regressions Metrics: Structural metrics unaffected; phase aggregation remains canonical Equivalence map: accumulate_cos_sin->tnfr.metrics.trig.accumulate_cos_sin; neighbor_phase_mean(_list)->tnfr.metrics.trig counterparts
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Sep 16, 2025
Operators involved: [Resonance] Affected invariants: [#5, #9] Key changes: - Remove the lazy trig module proxy from helpers.numeric - Drop re-exported neighbor phase mean helpers from the numeric module - Rely on tnfr.metrics.trig as the single source for circular phase utilities Expected risks/dissonances: - Direct trig imports must remain synchronized across modules Metrics: - Phase means remain computed via tnfr.metrics.trig Equivalence map: - tnfr.helpers.numeric._phase_mean_from_iter -> tnfr.metrics.trig._phase_mean_from_iter - tnfr.helpers.numeric._neighbor_phase_mean_core -> tnfr.metrics.trig._neighbor_phase_mean_core - tnfr.helpers.numeric._neighbor_phase_mean_generic -> tnfr.metrics.trig._neighbor_phase_mean_generic
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Sep 17, 2025
Operators involved: [Emision|Recepcion|Coherencia|Resonancia|Silencio] Affected invariants: [#1, #5, #9] Key changes: Added Quick start Python and CLI examples with canonical sequence; Highlighted nodal equation compliance and metric links Expected risks/dissonances: Minimal; ensures docs match CLI flags Metrics: Guidance for C(t), Si, νf, phase extraction only; no runtime shift Equivalence map: n/a
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Sep 17, 2025
Operators involved: [Coherencia] Affected invariants: [#3, #5] Key changes: - Align README quick start with run_sequence and dnfr hook behaviour - Highlight dynamics step/coordinate entry points for automatic phase sync Expected risks/dissonances: Baja; actualización documental Metrics: Documentación Equivalence map: N/A
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Sep 17, 2025
Operators involved: [Coherence|Resonance] Affected invariants: [#3, #5, #8] Key changes: - synchronised cached ΔNFR vectors with optional NumPy mirrors and degree lists - unified neighbour sum/mean builders so looped and vectorised paths share alias-aware data - exercised the NumPy branch in tests ensuring parity with the loop implementation Expected risks/dissonances: cache invalidation when toggling vectorized_dnfr mitigated by refreshing mirrors Metrics: ΔNFR parity between strategies; consistent phase/degree aggregation across branches Equivalence map: internal helpers reused; no public API renames
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Sep 17, 2025
…rence tracking Operators involved: [Coherence|Resonance|Self-organization] Affected invariants: [#1, #5, #7] Key changes: - Moved NodeCache and node mapping helpers into tnfr.cache and reused checksum primitives - Updated imports and helper exports with lazy glyph history proxies to avoid circular loading - Deleted tnfr.helpers.node_cache and ensured node_set_checksum honours non-storing calls Expected risks/dissonances: Potential unnoticed import regressions; mitigated via targeted pytest suite Metrics: No change in C(t), Si, νf; structural caching validated by tests Equivalence map: tnfr.helpers.node_cache.* -> tnfr.cache.*
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Sep 18, 2025
Operators involved: [Coherence, Resonance] Affected invariants: [#5] Key changes: (bullet list) - Filter accumulate_cos_sin to real finite pairs and reuse kahan_sum_nd for compensated sums - Preserve fallback/no-data handling while deriving processed flag from yielded pairs Expected risks/dissonances: Filtering may drop non-finite inputs; guarded by targeted tests Metrics: C(t) stable, Si unchanged, νf consistent, phase telemetry maintained Equivalence map: No API changes
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Sep 18, 2025
Operators involved: [Resonance, Coherence] Affected invariants: [#5, #8] Key changes: - Sum Kuramoto R/ψ from cached cosine and sine values via get_trig_cache - Allow get_trig_cache to align cache size with Kuramoto cache windows Expected risks/dissonances: Cache sizing regressions mitigated by focused pytest suite Metrics: Kuramoto R/ψ numerical parity and cache reuse validated through pytest Equivalence map: kuramoto_R_psi continues to expose the same API
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Oct 17, 2025
Operators involved: [Transition|Mutation|Coherence] Affected invariants: [#4, #5, #7] Key changes: - Move GrammarContext and grammar enforcement helpers into tnfr.validation.grammar to isolate canonical enforcement context - Split canonical compatibility tables into tnfr.validation.compatibility and validation rules into tnfr.validation.rules with focused helpers - Update imports and add validation tests covering grammar, compatibility, and rules modules to preserve TNFR invariants Expected risks/dissonances: Potential third-party imports still referencing tnfr.grammar; mitigated with compatibility re-exports and targeted tests Metrics: Expect unchanged C(t), Si, νf; normalisation thresholds exercised in new tests Equivalence map: tnfr.grammar.* -> tnfr.validation.grammar.*, tnfr.grammar.CANON_* -> tnfr.validation.compatibility.CANON_*
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Oct 18, 2025
Operators involved: [Coherence, Resonance] Affected invariants: [#3, #5] Key changes: - Added shared vector-length guard for circular means in ΔNFR neighbor aggregation - Reused precomputed neighbor sums in fallback path to avoid redundant traversal - Added dense-graph regression test validating fallback/vectorized parity for ΔNFR Expected risks/dissonances: Minimal risk of float tolerances diverging; mitigated via regression tests Metrics: ΔNFR parity across modes; phase alignment preserved Equivalence map: None
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Oct 18, 2025
Operators involved: [Resonance, Coupling] Affected invariants: [#5, #8] Key changes: - Vectorize ΔNFR gradient mixing when cached NumPy buffers are present - Cache reusable gradient arrays within DnfrCache and reuse them across runs - Extend vectorization tests to assert cache reuse and parity with list fallback Expected risks/dissonances: Vectorized math mismatches due to NumPy availability disparities Metrics: Expect identical ΔNFR outputs; cache reuse verified via tests Equivalence map: None
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Oct 18, 2025
Intent: Strengthen neighbour resonance aggregation fidelity\nOperators involved: [Resonance, Coupling]\nAffected invariants: [#1, #5]\nKey changes:\n- Replace dense ΔNFR accumulation with cached edge-based reductions using broadcasting and np.add.at\n- Ensure neighbour count and topology sums reuse cache buffers without adjacency builds\n- Extend vectorized dynamics tests with neighbour parity checks and performance regression guard\nExpected risks/dissonances: Possible numerical drift if edge indexing cache desynchronises; mitigated by regression tests\nMetrics: C(t), Si, νf, phase expected unchanged; performance gains validated via runtime ratio\nEquivalence map: No API renames
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Nov 9, 2025
…sub-epis [THOL][Canonical] Verify phase validation in sub-EPI propagation (Invariant #5)
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Nov 11, 2025
…mework Operators involved: Coherence (IL), Self-organization (THOL) Affected invariants: #9 (structural metrics), #10 (domain neutrality) Key changes: - Promoted Φ_s to CANONICAL status with 2,400+ experiments validation - Added comprehensive TNFR_FORCES_EMERGENCE.md documenting phase fields research - Documented research fields (|∇φ|, K_φ, ξ_C) with promotion criteria - Consolidated grammar documentation structure - Enhanced AGENTS.md with structural fields section - Added U6 experimental results and analysis tools - Implemented physics fields module (fields.py, liouville.py) - Added cross-domain validation framework Expected risks/dissonances: None - documentation strengthens theoretical coherence Metrics: Documentation C(t) ↑ (increased consistency and traceability) Phase tracking: Research fields remain phase-compatible (Invariant #5 preserved) Structural potential: corr(Δ Φ_s, ΔC) = -0.822 validates canonical promotion Research fields: |corr| < 0.15 (below threshold), remain RESEARCH status
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Summary
aplicar_remesh_si_estabilizacion_globalmediantepasos_estables_consecutivos.Testing
pytest -qhttps://chatgpt.com/codex/tasks/task_e_68af48643dc48321b0a1b462e05d0c46