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Resonant Fractal Nature Theory — a mathematical framework for coherent patterns on graph-coupled networks.

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© 2026 TNFR project — MIT licensed.DOI 10.5281/zenodo.17602860
docs
grammar
PHYSICS_VERIFICATION.md
API_CONTRACTS.mdCANONICAL_OZ_SEQUENCES.mdEMPIRICAL_CONFRONTATION_EEG.mdREADME.mdSTRUCTURAL_FIELDS_TETRAD.mdSTRUCTURAL_INTERFACE_THEORY.md
theory
APPLIED_STRUCTURAL_ANALYSIS.mdCATALOG_TYPE_HYGIENE_PROGRAMME.mdDISSIPATIVE_AND_OPEN_SYSTEMS.mdEMERGENT_ONTOLOGY.mdEXTENDED_FIELDS_AND_DERIVED_QUANTITIES.mdFUNDAMENTAL_THEORY.mdGAUGE_SYMMETRY_AND_UNIFICATION.mdGLOSSARY.mdMATHEMATICAL_DYNAMICS_BASIS.mdMINIMAL_STRUCTURAL_DEGREES.mdNUCLEUS_A_PRIME_LADDER_ATLAS.mdNUCLEUS_B_EQUIVARIANCE_OBSTRUCTIONS.mdPHYSICAL_REGIME_CORRESPONDENCES.mdREADME.mdREMESH_INFINITY_DERIVATION.mdSTRUCTURAL_CONSERVATION_THEOREM.mdSTRUCTURAL_OPERATORS.mdSTRUCTURAL_STABILITY_AND_DYNAMICS.mdTNFR_BSD_RESEARCH_NOTES.mdTNFR_HODGE_RESEARCH_NOTES.mdTNFR_NAVIER_STOKES_RESEARCH_NOTES.mdTNFR_NUMBER_THEORY.mdTNFR_P_VS_NP_RESEARCH_NOTES.mdTNFR_RIEMANN_RESEARCH_NOTES.mdTNFR_VARIATIONAL_PRINCIPLE.mdTNFR_YANG_MILLS_RESEARCH_NOTES.mdTNFR.pdfUNIFIED_GRAMMAR_RULES.md
factorization-lab
analysis
analyze_patterns.pycertificate_manifest.py
benchmarks
benchmark_analysis.pybenchmark_expansion_suite.pyfull_spectrum_factorization.pypaley_gap_extended.pypaley_gap_smoke.pytest_benchmark_suite.py
demos
experiment_contexts
exp_0b1663cd19b7.jsonexp_0bf0054b7474.jsonexp_75a4c8ca616a.jsonexp_848ee0fd1857.jsonexp_f6fe00562193.jsonexp_fdf3da424e1e.json
failure_telemetry_batch.pyfeedback_integration_demo.pyintegration_demo_snapshots.dbseed_management_integration_demo.pysnapshot_integration_demo.pytrajectory_143.jsontrajectory_77.jsontrajectory_89.jsontrajectory_91.jsontrajectory_97.json
docs
FACTORING_PLAYBOOK.mdFALSE_POSITIVE_TEST_SUITE.mdOPERATOR_CERTIFICATES.mdROADMAP.mdSPECTRAL_ROUTE.md
experiment_contexts
exp_cebe1d9e7d8e.json
notebooks
spectral_history.ipynb
scripts
run_false_positive_tests.py
tests
run_false_positive_test_suite.pytest_cli.pytest_false_positive_methodology.pytest_false_positive_verifier.pytest_feedback_integration.pytest_partitioning.pytest_seed_management.pytest_self_opt_support.pytest_snapshot_system.pytest_spectral_paley.pytest_verification_robustness.py
tnfr_factorization
__init__.pyapi.pycli.pyfailure_telemetry.pyfeedback_adapter.pyfeedback_integration.pypartitioning.pyself_opt_support.pyspectral_paley.py
demo_snapshots.dbLICENSE_SNAPSHOT.mdPACKAGE_SUMMARY.mdREADME.mdseed_management.pysnapshot_system.pytest_certificate_hashing.pytest_installation.pyverification_trajectory_77.json
benchmarks
analyze_tetrad_universality.pyb0star_alpha_canonical_product_graphs.pybenchmark_optimization_tracks.pybenchmark_utils.pyboundary_vibration.pybridge_primes_riemann.pychiral_involution.pycli_utils.pycoherence_projector_sense_index.pycommutant_bridge.pycomposition_arithmetic.pyconfinement_zones_test.pyconservation_law_validation.pydirected_paley_bridge.pyemergent_arithmetic_pulse.pyemergent_atom_dynamics.pyemergent_atomic_shells.pyemergent_base_dimension.pyemergent_dimension_dynamics.pyemergent_fractal_pulse.pyemergent_fractal_simplex_dimension.pyemergent_integers_symmetry.pyemergent_musical_nfr.pyemergent_nfr_geometry.pyemergent_nfr_where.pyemergent_rationals.pyemergent_rhythm.pyemergent_screening.pyemergent_shell_cardinals.pyemergent_shell_ordering.pyemergent_simplex_dimension.pyemergent_substrate_symmetry.pyequivariance_wall.pyexternal_phase_gate_validation.pyfield_methods_battery.pygolden_residue_remesh_bridge.pyintegrated_force_regime_study.pyinverse_spectrum_to_symmetry.pyk_phi_safety_demo.pykuramoto_farey_bridge.pymissing_piece_bridge.pymultichannel_interface_benchmark.pynavier_stokes_recipe_bridge.pynodal_propagator_residue_bridge.pyns_moment_hierarchy_cascade.pyoperational_irreducibility.pypaley_bridge.pyphase_curvature_investigation.pyphase_wall.pyphi_s_confinement_investigation.pyprimes_as_consequence.pypulse_phase_coherence_budget.pyREADME.mdremesh_infinity_riemann_baseline.pyremesh_infinity_riemann_composed.pyremesh_infinity_riemann_modified_graph.pyremesh_infinity_riemann_operator.pyremesh_infinity_riemann_spectral_basis.pyremesh_infinity_riemann_spectral_robustness.pyremesh_infinity_riemann_spectral.pyresidue_phase_vs_riemann.pystructural_interface_benchmark.pytemporal_interface_benchmark.pytetrad_results_aggregate.pyu2_destabilization_irreversibility.pyuniversality_clusters.pyxi_c_fast_experiment.py
primality-test
benchmarks
comprehensive_benchmark.py
docs
ADVANCED_INTEGRATION.mdmathematical_foundation.mdperformance_analysis.md
examples
advanced_examples.pybasic_usage.py
tnfr_primality
__init__.py__main__.pyadvanced_cli.pyadvanced_core.pycli.pyconstants.pycore.pyoptimized.py
MANIFEST.inPACKAGE_SUMMARY.mdREADME.mdRELEASE_NOTES_v1.0.mdsetup.pytest_installation.py
tests
core_physics
__init__.pytest_conservation_laws.pytest_delta_nfr_computation_paths.pytest_delta_nfr.pytest_dispersion_coherence_sign_invariance.pytest_emergent_constants_guard.pytest_lyapunov_operators.pytest_nodal_equation.pytest_structural_triad.py
data
replay_manifests
sample_run
_manifest_summary.json_manifest.json_partition_files.txt.gz
self_opt_validation
seed_alpha
paley.json
seed_beta
integration.json
seed_gamma
unknown.json
self_optimization
test_run
partitioned
test_run
test_run_p0.jsontest_run_p1.json
_manifest_summary.json_manifest.json
engines
test_pattern_discovery_manifest.pytest_self_optimization_engine.py
mathematics
__init__.pytest_autodiff.pytest_backends.pytest_dissipative_dynamics.pytest_epi.pytest_factory_patterns.pytest_metrics.pytest_navier_stokes_refounded.pytest_number_theory_canonical.pytest_operators.pytest_residue_networks.pytest_riemann_nodal_pulse.pytest_riemann_pulse_coherence.pytest_spaces.pytest_transforms.pytest_validator.py
operators
test_canonical_operators_modern.pytest_grammar_canon.pytest_grammar_canonical_consistency.pytest_grammar_dynamics.pytest_operator_contracts.pytest_operator_strategies.py
parallel
test_fractal_partition_manifest.py
physics
test_conservation_gauge_unification.pytest_dissipative_conservation.pytest_emergent_chemistry.pytest_field_cache_invalidation.pytest_gauge.pytest_phase_transition.pytest_signatures.pytest_spectral_conservation.pytest_structural_diffusion.pytest_structural_integrity.pytest_symplectic_substrate.pytest_tetrad_bounds.pytest_variational.pytest_yang_mills_closure.pytest_yang_mills_derivability.pytest_yang_mills_scaling.pytest_yang_mills_structural_gap.pytest_yang_mills_u6_sweep.py
scripts
test_run_self_opt_validation.pytest_run_self_optimization.py
sdk
__init__.pytest_simple_advanced.py
__init__.pyconftest.pyREADME.mdtest_breast_cancer_phase_gate_demo.pytest_classical_mechanics.pytest_distributed_fft.pytest_external_phase_gate_validation.pytest_factorization_entrypoint.pytest_multichannel_interface.pytest_nodal_optimizer.pytest_phase_gate_api.pytest_replay_register_manifest.pytest_signal_confrontation.pytest_structural_interface_api.pytest_structural_interface_baselines.pytest_structural_interface_benchmark.pytest_temporal_interface.pytest_vectorized_coherence_length_regression.pytest_wine_quality_phase_gate_demo.pyutils.py
examples
01_foundations
01_hello_world.py02_musical_resonance.py03_network_formation.py04_operator_sequences.py05_coherence_evolution.py06_network_topologies.py07_phase_transitions.py08_emergent_phenomena.py09_visualization_suite.py10_simplified_sdk_showcase.py
02_physics_regimes
11_classical_limit_comparison.py115_operator_contract_audit.py12_classical_mechanics_demo.py13_quantum_mechanics_demo.py14_uncertainty_and_interference.py15_train_crossing_demo.py17_conservation_law_demo.py26_gauge_structure_demo.py27_variational_principle_demo.py28_dissipative_systems_demo.py29_lyapunov_stability_demo.py30_self_optimization_demo.py31_mathematical_constants_basis.py33_complex_field_unification.py34_conservation_protocol_suite.py35_tetrad_irreducibility.py36_grammar_violation_detector.py37_operator_tetrad_synergy.py38_grammar_energy_landscape.py39_nodal_equation_decomposition.py
03_riemann_zeta
157_nodal_pulse_phase_attack.py41_von_mangoldt_zeta_demo.py42_riemann_zeros_as_resonances.py43_prime_ladder_hamiltonian_demo.py44_weil_explicit_formula_demo.py45_li_keiper_demo.py46_weil_tnfr_positivity_demo.py47_alpha_sweep_demo.py48_admissible_family_sweep_demo.py49_nodeaware_gauge_sweep_demo.py50_uniform_coercivity_demo.py51_adaptive_coercivity_demo.py52_paley_gap_coercivity_demo.py53_lyapunov_spectral_positivity_demo.py54_hilbert_polya_demo.py55_structural_zero_density_demo.py56_spectral_emergence_demo.py57_admissible_rescaling_demo.py58_oscillatory_correction_demo.py
04_riemann_L_twisted
59_dirichlet_l_function_demo.py60_dirichlet_l_continuation_demo.py61_dirichlet_l_hamiltonian_demo.py62_dirichlet_weil_explicit_formula_demo.py63_dirichlet_li_keiper_demo.py64_twisted_weil_positivity_demo.py65_twisted_alpha_sweep_demo.py66_twisted_admissible_family_sweep_demo.py67_twisted_nodeaware_gauge_sweep_demo.py68_twisted_hermite_family_demo.py69_twisted_coercivity_uniform_demo.py70_twisted_paley_gap_coercivity_demo.py71_twisted_lyapunov_spectral_demo.py72_twisted_hilbert_polya_demo.py73_twisted_structural_zero_density_demo.py74_twisted_spectral_emergence_demo.py75_twisted_admissible_rescaling_demo.py76_twisted_oscillatory_correction_demo.py
05_type_hygiene
77_remesh_infinity_residue_split_demo.py78_nuf_type_signature_demo.py79_epi_type_signature_demo.py80_phi_type_signature_demo.py81_dnfr_type_signature_demo.py82_remesh_window_type_signature_demo.py83_delta_phi_max_type_signature_demo.py84_coupling_weights_type_signature_demo.py85_tetrad_closure_signature_demo.py86_currents_closure_signature_demo.py87_aggregates_closure_signature_demo.py88_urules_consistency_signature_demo.py89_operator_catalog_discipline_signature_demo.py
06_navier_stokes
158_navier_stokes_two_face_refounded.py
07_number_theory
100_prime_families_orbits.py101_numbers_as_coupled_network.py102_nodal_flow_primes_equilibria.py116_nuf_emergent_prime_visibility.py146_primality_grammatical_inertness.py147_numbers_as_free_monoid_words.py148_capacity_arm_carries_von_mangoldt.py149_p14_is_the_capacity_arm_operator.py153_structural_frequency_rank_cyclotomy.py40_arithmetic_number_theory.py94_generative_number_construction.py95_primes_from_spectral_waves.py96_spectral_vibration_of_coherence.py97_goldbach_additive_multiplicative.pyemergent_chemistry_particles_demo.py
08_emergent_geometry
103_emergent_substrate_meets_riemann.py106_per_node_polarization_geometry.py107_orthogonal_structure_emergent_geometry.py108_emergent_field_generating_structure.py112_structure_predicts_coherence_flow.py113_overdamped_projection_bridge.py114_substrate_conserved_quantities.py117_emergent_geometry_residue_graph.py118_emergent_vs_classical_operator.py119_phase_sector_directed_residue.py120_symmetry_wall_substrate_vs_spectrum.py121_canonical_symmetry_break_negative.py122_factorization_phase_sector.py123_symmetry_sector_decomposition.py124_emergent_metric_fractal_consistency.py125_node_is_the_emergent_substrate.py126_two_layers_base_fiber.py127_base_is_emergent_not_imposed.py128_base_substrate_coemergence.py129_spectral_gap_base_fiber_clock.py130_operators_break_substrate_charges.py131_coemergent_loop_convergence.py132_geometric_phase_holonomy.py133_psi_topological_defects.py134_spectral_dimension_heat_kernel.py135_arrow_of_time_h_theorem.py136_heat_kernel_coefficients.py137_synchronization_transition.py138_structure_frequency_synchronization.py139_grammar_formal_language.py140_grammar_automaton.py141_grammar_rule_decomposition.py142_grammar_operator_quotient.py143_glyphic_function_sublanguage.py144_branching_combinator.py145_syntactic_monoid_starfree.py150_emergent_grammatical_pattern_parry.py151_grammar_in_emergent_geometry.py152_operator_contract_tetrahedron.py154_conductor_annotated_qr_spectrum.py155_ontological_position_of_numbers.py156_emergence_directness_law.py98_emergent_symplectic_substrate.py99_structural_diffusion.pyunified_fields_showcase.py
09_millennium
109_p_vs_np_coherence_synthesis.py110_bsd_rank_structural_pressure.py111_hodge_discrete_and_honest_gap.py
10_applications
159_empirical_confrontation_pipeline.py90_phase_gate_monitor_demo.py91_breast_cancer_phase_gate_demo.py92_wine_quality_phase_gate_demo.py93_structural_interface_demo.pypytorch_cuda_demo.py
README.md
scripts
replay
__init__.pyregister_manifest.py
__init__.pyREADME.mdrebuild_failure_manifest.pyrun_reproducible_benchmarks.pyrun_self_opt_validation.pyrun_self_optimization.pytnfr_is_prime.pyvalidate_conservation_law.pyverify_internal_references.py
src
core
__init__.pyevaluation.py
tnfr
backends
__init__.pyjax_backend.pynumpy_backend.pyoptimized_numpy.pyREADME.mdtorch_backend.py
cli
__init__.py__init__.pyiarguments.pyarguments.pyiexecution.pyexecution.pyiinteractive_validator.pyREADME.mdutils.pyutils.pyi
compat
__init__.pydataclass.pyjsonschema_stub.pymatplotlib_stub.pynumpy_stub.pyREADME.md
config
__init__.py__init__.pyiconstants.pyconstants.pyidefaults_core.pydefaults_init.pydefaults_metric.pydefaults.pyfeature_flags.pyfeature_flags.pyiglyph_constants.pyoperator_names.pyoperator_names.pyiphysics_derivation.pyprecision_modes.pypresets.pypresets.pyiREADME.mdsecurity.pythresholds.pytnfr_config.py
constants
__init__.py__init__.pyialiases.pyaliases.pyicanonical.pymetric.pymetric.pyioperational.py
core
__init__.pycontainer.pydefault_implementations.pyexceptions.pyinterfaces.pyREADME.md
dynamics
__init__.py__init__.pyiadaptation.pyadaptation.pyiadaptive_sequences.pyadaptive_sequences.pyiadelic.pyadvanced_cache_optimizer.pyadvanced_fft_arithmetic.pyaliases.pyaliases.pyibifurcation.pycache_aware_fft_engine.pycanonical.pycanonical.pyicomputational_hub.pycoordination.pycoordination.pyidistributed_fft.pydnfr.pydnfr.pyidynamic_limits.pyemergent_centralization.pyemergent_integration_engine.pyfeedback.pyfeedback.pyifft_backend.pyfft_cache_coordinator.pyfft_dispatchers.pyfft_engine.pyfft_workers.pyfused_dnfr.pyhomeostasis.pyhomeostasis.pyiintegrators.pyintegrators.pyilearning.pylearning.pyimetabolism.pymulti_modal_cache.pynbody_tnfr.pynbody.pynodal_optimizer.pyoptimization_orchestrator.pypropagation.pyREADME.mdruntime.pyruntime.pyisampling.pysampling.pyiselectors.pyselectors.pyiself_optimizing_engine.pyspectral_structural_fusion.pystructural_cache.pystructural_clip.pysymplectic.pyunified_backend.pyunified_mathematical_cache_orchestrator.py
engines
computation
__init__.pyfft_engine.pyunified_fft_engine.pyunified_gpu_system.py
constants
__init__.pycanonical.pyoperational.py
integration
__init__.pyemergent_integration.py
pattern_discovery
__init__.pymathematical_patterns.pymulti_modal_cache.py
self_optimization
__init__.pyengine.py
__init__.pyREADME.md
errors
__init__.pycontextual.py
factorization
__init__.py
flatten
README.md
gamma
README.md
glyph_history
README.md
glyph_runtime
README.md
immutable
README.md
initialization
README.md
io
README.md
math
__init__.pyfields_symbolic.pygrammar_validators.pyoptimizer.pyREADME.mdsymbolic.py
mathematics
__init__.pybackend.pybackend.pyidynamics.pydynamics.pyiepi.pyepi.pyigenerators.pygenerators.pyiliouville.pymetrics.pymetrics.pyinumber_theory.pyoperators_factory.pyoperators_factory.pyioperators.pyoperators.pyioptimized_primality.pyprojection.pyprojection.pyiREADME.mdruntime.pyruntime.pyispaces.pyspaces.pyispectral.pytransforms.pytransforms.pyiunified_cache.pyunified_numerical.pyzeta.py
metrics
__init__.py__init__.pyibuffer_cache.pybuffer_cache.pyicache_utils.pycoherence.pycoherence.pyicommon.pycommon.pyicore.pycore.pyidiagnosis.pydiagnosis.pyiemergence.pyexport.pyexport.pyiglyph_timing.pyglyph_timing.pyilearning_metrics.pylearning_metrics.pyilocal_coherence.pyphase_coherence.pyphase_compatibility.pyREADME.mdreporting.pyreporting.pyisense_index.pysense_index.pyitelemetry.pytetrad.pytrig_cache.pytrig_cache.pyitrig.pytrig.pyi
multiscale
__init__.pyhierarchical.pyREADME.md
navier_stokes
__init__.pyconservative_face.pyoperator.py
node
README.md
observers
README.md
operators
network_analysis
__init__.pysource_detection.py
postconditions
__init__.pymutation.py
preconditions
__init__.pycoherence.pydissonance.pyemission.pymutation.pyreception.pyresonance.py
strategies
__init__.pydefaults.pygpu_strategies.pystrategy.py
__init__.py__init__.pyialgebra.pycanonical_patterns.pycascade.pycoherence.pycontraction.pycoupling.pycycle_detection.pydefinitions_base.pydefinitions.pydefinitions.pyidissonance.pyemission.pyexpansion.pygrammar_application.pygrammar_canon.pygrammar_context.pygrammar_core.pygrammar_dynamics.pygrammar_error_factory.pygrammar_memoization.pygrammar_patterns.pygrammar_telemetry.pygrammar_types.pygrammar_u6.pygrammar_validate.pygrammar.pygrammar.pyihamiltonian.pyhealth_analyzer.pyintrospection.pyjitter.pyjitter.pyilifecycle.pymetabolism.pymetrics_basic.pymetrics_core.pymetrics_network.pymetrics_structural.pymetrics_u6.pymetrics.pymutation.pynodal_equation.pyoperator_contracts.pypattern_detection.pypatterns.pyREADME.mdreception.pyrecursivity.pyregistry.pyregistry.pyiremesh.pyremesh.pyiresonance.pyself_organization.pysilence.pystructural_units.pytransition.py
parallel
__init__.pyauto_scaler.pydistributed.pyengine.pymonitoring.pypartitioner.pyREADME.md
performance
guardrails.py
physics
__init__.py_helpers.pycalibration.pycanonical.pycell.pyclassical_mechanics.pyconservation_gauge_unification.pyconservation.pydissipative_conservation.pyemergent_chemistry.pyemergent_particles.pyextended.pyfields.pygauge.pyintegrity.pyinteractions.pylife.pylyapunov.pypatterns.pyphase_transition.pyquantum_mechanics.pyREADME.mdsignatures.pyspectral_conservation.pyspectral_metrics.pystructural_diffusion.pysymplectic_substrate.pytelemetry.pyunified.pyvariational.pyvectorized_ops.py
primality
__init__.py
recipes
__init__.pycookbook.pyREADME.md
riemann
__init__.pyadmissible_family_sweep.pyadmissible_rescaling.pyaggregates_closure_signature.pyalpha_sweep.pyanalytic_continuation_dirichlet.pyanalytic_continuation.pycoercivity_uniform.pycoupling_weights_type_signature.pycurrents_closure_signature.pydelta_phi_max_type_signature.pydirichlet_l.pydnfr_type_signature.pyepi_type_signature.pyhilbert_polya.pyli_keiper.pylyapunov_spectral_positivity.pynodal_pulse.pynodeaware_gauge_sweep.pynuf_type_signature.pyoperator_catalog_discipline_signature.pyoperator.pyoscillatory_correction.pypaley_gap_coercivity.pyphi_type_signature.pyprime_ladder_hamiltonian.pypulse_coherence.pyremesh_infinity_residue_split.pyremesh_window_type_signature.pyspectral_emergence.pystructural_zero_density.pytelemetry.pytetrad_closure_signature.pytwisted_admissible_family_sweep.pytwisted_admissible_rescaling.pytwisted_alpha_sweep.pytwisted_coercivity_uniform.pytwisted_hermite_family.pytwisted_hilbert_polya.pytwisted_li_keiper.pytwisted_lyapunov_spectral_positivity.pytwisted_nodeaware_gauge_sweep.pytwisted_oscillatory_correction.pytwisted_paley_gap_coercivity.pytwisted_prime_ladder_hamiltonian.pytwisted_spectral_emergence.pytwisted_structural_zero_density.pytwisted_weil_explicit_formula.pytwisted_weil_positivity.pyurules_consistency_signature.pyvon_mangoldt.pyweil_explicit_formula.pyweil_positivity.py
schemas
__init__.pygrammar.jsonREADME.md
sdk
__init__.py__init__.pyiadaptive_system.pyadaptive_system.pyibuilders.pybuilders.pyifluent.pyfluent.pyiREADME.mdself_opt.pysimple.pytemplates.pytemplates.pyiutils.py
security
__init__.pycrypto.pydatabase.pyREADME.mdsubprocess.pyvalidation.py
sequencing
__init__.pypatterns.pyREADME.md
services
__init__.pyorchestrator.pyREADME.md
sparse
__init__.pyREADME.mdrepresentations.py
structural
README.md
telemetry
__init__.pycache_metrics.pycache_metrics.pyiconstants.pynu_f.pynu_f.pyiREADME.mdunified_telemetry_system.pyverbosity.pyverbosity.pyi
tools
__init__.pydomain_templates.pyREADME.mdsequence_generator.pytnfr_is_prime_cli_optimized.pytnfr_is_prime_cli.py
topology
__init__.pyasymmetry.pyREADME.md
utils
cache_layers.pycache.pycache.pyicallbacks.pycallbacks.pyichunks.pychunks.pyidata.pydata.pyifast_diameter.pygraph.pygraph.pyiinit.pyinit.pyiio.pyio.pyinumeric.pynumeric.pyiREADME.mdtopology.pyunified_cache.py
validation
__init__.py__init__.pyiaggregator.pybase.pycompatibility.pycompatibility.pyiconfig.pygraph.pygraph.pyihealth.pyinput_validation.pyinterface_baselines.pyinvariants.pymultichannel_interface.pyphase_gate.pyREADME.mdrules.pyrules.pyiruntime.pyruntime.pyisequence_validator.pysignal_confrontation.pysoft_filters.pysoft_filters.pyispectral.pyspectral.pyistructural_interface.pytemporal_interface.pyunified_validation_system.pyvalidator.pywindow.pywindow.pyi
visualization
__init__.pycascade_viz.pyhierarchy.pyREADME.mdsequence_plotter.py
yang_mills
__init__.pyclosure.pyderivability.pyscaling.pystructural_gap.pyu6_sweep.py
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tetrad_evaluator.py
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FILE: examples/08_emergent_geometry/143_glyphic_function_sublanguage.py

143_glyphic_function_sublanguage.py

Example 143 - The Glyphic-Function Sub-Language: an Audit of the Canonical Patterns and the Nesting (THOL[...]) That Lifts the Grammar to Context-Free

The grammar is the only mechanism that modifies coherence, and examples 139-142 characterized the OPERATOR-sequence language L as a regular language (a finite automaton with capacity lambda=11.56, 9 grammatical role-classes). This example audits the higher-level "canonical patterns" concept (Bootstrap / Stabilize / Explore / Propagate, and the named registries scattered across the codebase) and reconstructs it from the ORIGINAL source -- TNFR.pdf 2.3 "Macros glificas" and the "Tabla de funciones glificas operativas" -- finding that the original concept is a genuine SUB-LANGUAGE of nested glyphic functions, richer than the flat code patterns, whose nesting feature THOL[...] places the full language one level above L in the Chomsky hierarchy.

The original canonical glyphic functions (TNFR.pdf 2.3)

Activacion simple AL -> IL -> RA (stabilized emission that propagates) Estabilizacion mutacional OZ -> ZHIR -> IL (dissonance transformed into coherence) Ciclo regenerativo NAV -> THOL[ ... ] -> SHA (self-organized node returns to latency) Interfaz adaptativa THOL[ ZHIR -> UM -> NAV ] -> RA (network reorganizes and expands) MACRO INIT AL -> IL -> UM MOD ESTABILIZADOR OZ -> ZHIR -> IL

The decisive feature the flat code patterns LOST is the NESTING THOL[ body ]: THOL opens a sub-EPI whose interior is itself a glyphic sub-sequence. That is exactly operational fractality (U5, nested EPIs). The code-side patterns (Bootstrap=[AL,UM,IL], Stabilize=[IL,SHA], Explore=[OZ,ZHIR,IL], Propagate/ RESONATE=[RA,UM,RA]) are flat, depth-0, and DIVERGE from the PDF (e.g. the PDF's MACRO INIT is [AL,IL,UM], not Bootstrap's [AL,UM,IL]).

Doctrine compliance

Validity is decided exclusively by the canonical validate_grammar oracle (U1-U6). The nesting bracket is the canonical THOL sub-EPI boundary (AGENTS.md: THOL "creates sub-EPIs, fractal structuring"; U5 multi-scale coherence). Nothing is imposed; the audit and the Chomsky-hierarchy placement are measured/derived.

Three measured results

M1 AUDIT. The PDF-original glyphic functions and the code base patterns are ALL grammatical FRAGMENTS (0 of 9 PDF macros, 0 of 5 code patterns are valid standalone words) -- they are macros meant to be COMPOSED, not sequences. And 2 of the 10 "concrete" registry sequences in canonical_patterns.py are in fact INVALID: therapeutic_protocol starts with EN (not a U1a generator) and full_deployment has ZHIR with no prior IL (U4b violated). The code patterns diverge from the PDF and dropped the nesting entirely.

M2 COMPOSITION. A fragment becomes a valid word exactly by adding the missing grammar boundary: a U1a generator prefix and a U1b closure suffix (plus the U4b context a transformer needs). Bootstrap [AL,UM,IL] -> [AL,UM,IL,SHA] is valid; the macros compose into larger valid words with this glue. This is the PDF's "compose into more complex structures" recovered exactly: the glyphic functions are the WORDS, composition is the higher grammar.

M3 NESTING = CONTEXT-FREE (the recovered fractal variable). A well-formed nested glyphic function THOL[ body ] (body itself grammar-valid) flattens to a grammar-VALID operator stream -- the regular layer of ex 139-142 is preserved. But the bracket structure is a Dyck language: the number of nesting tree shapes with n THOL nodes is exactly the Catalan number C_n (1,1,2,5,14,42,...), and the nesting depth is unbounded and balanced, so the bracketed glyphic-function language is CONTEXT-FREE and NOT regular (pumping lemma). The bracket depth IS the nested-EPI fractal scale (U5). So operational fractality U5 is precisely the feature that lifts the glyphic language one level above the regular operator grammar L.

Honest scope

This is standard formal-language theory (Dyck language, Catalan numbers, the pumping lemma, the Chomsky hierarchy) applied to the canonical grammar U1-U6 and the canonical THOL nesting recovered from TNFR.pdf. It is an AUDIT plus a CHARACTERIZATION: it documents the drift of the code-side "canonical patterns" from the original glyphic-function concept and locates the full sub-language at the context-free level, with nesting depth = the U5 fractal scale. It is not new mathematics and closes no open problem. It does not modify the operator definitions or the grammar; it does flag two invalid registry sequences for future cleanup.

References

  • theory/TNFR.pdf 2.3 ("Macros glificas", "Tabla de funciones glificas operativas")
  • src/tnfr/operators/grammar_validate.py (the canonical validate_grammar oracle)
  • src/tnfr/operators/canonical_patterns.py (the compat-shim registry, audited)
  • examples/08_emergent_geometry/139_grammar_formal_language.py (L is regular)
  • examples/08_emergent_geometry/142_grammar_operator_quotient.py (9 role-classes)
  • AGENTS.md "Unified Grammar (U1-U6)" U5 (operational fractality, nested EPIs)

Source Code

python
#!/usr/bin/env python3
"""
Example 143 - The Glyphic-Function Sub-Language: an Audit of the Canonical
Patterns and the Nesting (THOL[...]) That Lifts the Grammar to Context-Free
==============================================================================

The grammar is the only mechanism that modifies coherence, and examples 139-142
characterized the OPERATOR-sequence language L as a regular language (a finite
automaton with capacity lambda=11.56, 9 grammatical role-classes). This example
audits the higher-level "canonical patterns" concept (Bootstrap / Stabilize /
Explore / Propagate, and the named registries scattered across the codebase) and
reconstructs it from the ORIGINAL source -- TNFR.pdf 2.3 "Macros glificas" and
the "Tabla de funciones glificas operativas" -- finding that the original concept
is a genuine SUB-LANGUAGE of nested glyphic functions, richer than the flat code
patterns, whose nesting feature THOL[...] places the full language one level
above L in the Chomsky hierarchy.

The original canonical glyphic functions (TNFR.pdf 2.3)
-------------------------------------------------------
  Activacion simple          AL -> IL -> RA            (stabilized emission that propagates)
  Estabilizacion mutacional  OZ -> ZHIR -> IL          (dissonance transformed into coherence)
  Ciclo regenerativo         NAV -> THOL[ ... ] -> SHA (self-organized node returns to latency)
  Interfaz adaptativa        THOL[ ZHIR -> UM -> NAV ] -> RA (network reorganizes and expands)
  MACRO INIT                 AL -> IL -> UM
  MOD ESTABILIZADOR          OZ -> ZHIR -> IL

The decisive feature the flat code patterns LOST is the NESTING THOL[ body ]:
THOL opens a sub-EPI whose interior is itself a glyphic sub-sequence. That is
exactly operational fractality (U5, nested EPIs). The code-side patterns
(Bootstrap=[AL,UM,IL], Stabilize=[IL,SHA], Explore=[OZ,ZHIR,IL], Propagate/
RESONATE=[RA,UM,RA]) are flat, depth-0, and DIVERGE from the PDF (e.g. the PDF's
MACRO INIT is [AL,IL,UM], not Bootstrap's [AL,UM,IL]).

Doctrine compliance
-------------------
Validity is decided exclusively by the canonical validate_grammar oracle (U1-U6).
The nesting bracket is the canonical THOL sub-EPI boundary (AGENTS.md: THOL
"creates sub-EPIs, fractal structuring"; U5 multi-scale coherence). Nothing is
imposed; the audit and the Chomsky-hierarchy placement are measured/derived.

Three measured results
----------------------
M1 AUDIT. The PDF-original glyphic functions and the code base patterns are ALL
   grammatical FRAGMENTS (0 of 9 PDF macros, 0 of 5 code patterns are valid
   standalone words) -- they are macros meant to be COMPOSED, not sequences. And
   2 of the 10 "concrete" registry sequences in canonical_patterns.py are in fact
   INVALID: therapeutic_protocol starts with EN (not a U1a generator) and
   full_deployment has ZHIR with no prior IL (U4b violated). The code patterns
   diverge from the PDF and dropped the nesting entirely.

M2 COMPOSITION. A fragment becomes a valid word exactly by adding the missing
   grammar boundary: a U1a generator prefix and a U1b closure suffix (plus the
   U4b context a transformer needs). Bootstrap [AL,UM,IL] -> [AL,UM,IL,SHA] is
   valid; the macros compose into larger valid words with this glue. This is the
   PDF's "compose into more complex structures" recovered exactly: the glyphic
   functions are the WORDS, composition is the higher grammar.

M3 NESTING = CONTEXT-FREE (the recovered fractal variable). A well-formed nested
   glyphic function THOL[ body ] (body itself grammar-valid) flattens to a
   grammar-VALID operator stream -- the regular layer of ex 139-142 is preserved.
   But the bracket structure is a Dyck language: the number of nesting tree shapes
   with n THOL nodes is exactly the Catalan number C_n (1,1,2,5,14,42,...), and
   the nesting depth is unbounded and balanced, so the bracketed glyphic-function
   language is CONTEXT-FREE and NOT regular (pumping lemma). The bracket depth IS
   the nested-EPI fractal scale (U5). So operational fractality U5 is precisely
   the feature that lifts the glyphic language one level above the regular
   operator grammar L.

Honest scope
------------
This is standard formal-language theory (Dyck language, Catalan numbers, the
pumping lemma, the Chomsky hierarchy) applied to the canonical grammar U1-U6 and
the canonical THOL nesting recovered from TNFR.pdf. It is an AUDIT plus a
CHARACTERIZATION: it documents the drift of the code-side "canonical patterns"
from the original glyphic-function concept and locates the full sub-language at
the context-free level, with nesting depth = the U5 fractal scale. It is not new
mathematics and closes no open problem. It does not modify the operator
definitions or the grammar; it does flag two invalid registry sequences for
future cleanup.

References
----------
- theory/TNFR.pdf 2.3 ("Macros glificas", "Tabla de funciones glificas operativas")
- src/tnfr/operators/grammar_validate.py (the canonical validate_grammar oracle)
- src/tnfr/operators/canonical_patterns.py (the compat-shim registry, audited)
- examples/08_emergent_geometry/139_grammar_formal_language.py (L is regular)
- examples/08_emergent_geometry/142_grammar_operator_quotient.py (9 role-classes)
- AGENTS.md "Unified Grammar (U1-U6)" U5 (operational fractality, nested EPIs)
"""

import os
import sys

sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "..", "src"))

from math import comb

from tnfr.operators.definitions import (
    Coherence,
    Contraction,
    Coupling,
    Dissonance,
    Emission,
    Expansion,
    Mutation,
    Reception,
    Recursivity,
    Resonance,
    SelfOrganization,
    Silence,
    Transition,
)
from tnfr.operators.grammar_validate import validate_grammar

INST = {
    "AL": Emission(),
    "EN": Reception(),
    "IL": Coherence(),
    "OZ": Dissonance(),
    "UM": Coupling(),
    "RA": Resonance(),
    "SHA": Silence(),
    "VAL": Expansion(),
    "NUL": Contraction(),
    "THOL": SelfOrganization(),
    "ZHIR": Mutation(),
    "NAV": Transition(),
    "REMESH": Recursivity(),
}


def valid(seq):
    """Decide grammar validity with the canonical U1-U6 oracle."""
    return validate_grammar([INST[s] for s in seq], 0.0)


def flatten(node):
    """Flatten a nested glyphic function to its operator stream.

    A node is a list of items; an item is either a glyph string or a pair
    (head, body) meaning head[ body ] -- head opens a sub-EPI containing body.
    """
    out = []
    for item in node:
        if isinstance(item, tuple):
            head, body = item
            out.append(head)
            out.extend(flatten(body))
        else:
            out.append(item)
    return out


def catalan(n):
    return comb(2 * n, n) // (n + 1)


def experiment_1_audit():
    print("=" * 72)
    print("E1: AUDIT - PDF-original glyphic functions and code patterns vs U1-U6")
    print("=" * 72)

    pdf = [
        ("Activacion simple      [AL,IL,RA]", ["AL", "IL", "RA"]),
        ("Estabiliz. mutacional  [OZ,ZHIR,IL]", ["OZ", "ZHIR", "IL"]),
        ("Ciclo regen.           [NAV,THOL,SHA]", ["NAV", "THOL", "SHA"]),
        (
            "Interfaz adaptativa    [THOL,ZHIR,UM,NAV,RA]",
            ["THOL", "ZHIR", "UM", "NAV", "RA"],
        ),
        ("MACRO INIT             [AL,IL,UM]", ["AL", "IL", "UM"]),
        ("MOD ESTABILIZADOR      [OZ,ZHIR,IL]", ["OZ", "ZHIR", "IL"]),
        ("Secuencia base         [AL,IL,UM,RA]", ["AL", "IL", "UM", "RA"]),
    ]
    code = [
        ("Bootstrap  [AL,UM,IL]", ["AL", "UM", "IL"]),
        ("Stabilize  [IL,SHA]", ["IL", "SHA"]),
        ("Explore    [OZ,ZHIR,IL]", ["OZ", "ZHIR", "IL"]),
        ("Propagate  [RA,UM]", ["RA", "UM"]),
        ("RESONATE   [RA,UM,RA]", ["RA", "UM", "RA"]),
    ]
    n_pdf_valid = sum(valid(s) for _, s in pdf)
    n_code_valid = sum(valid(s) for _, s in code)
    print("\n  PDF-original glyphic functions (macros to compose):")
    for name, seq in pdf:
        print(f"    {'VALID  ' if valid(seq) else 'fragment'}  {name}")
    print(f"    -> {n_pdf_valid}/{len(pdf)} valid standalone (the rest are macros)")
    print("\n  Code base patterns (sequence_generator / AGENTS.md):")
    for name, seq in code:
        print(f"    {'VALID  ' if valid(seq) else 'fragment'}  {name}")
    print(f"    -> {n_code_valid}/{len(code)} valid standalone")

    print("\n  canonical_patterns.py 'concrete' registry (the compat shim):")
    registry = [
        ("bifurcated_base    ", ["AL", "EN", "IL", "OZ", "ZHIR", "IL", "SHA"]),
        ("bifurcated_collapse", ["AL", "OZ", "NUL", "IL", "SHA"]),
        ("therapeutic_proto  ", ["EN", "AL", "IL", "OZ", "THOL", "IL", "SHA"]),
        ("theory_system      ", ["AL", "NAV", "UM", "RA", "IL", "SHA"]),
        ("full_deployment    ", ["AL", "UM", "RA", "OZ", "ZHIR", "IL", "SHA"]),
        ("mod_stabilizer     ", ["AL", "IL", "SHA"]),
        ("contained_crisis   ", ["AL", "EN", "IL", "OZ", "SHA"]),
        ("minimal_compress   ", ["AL", "EN", "IL", "NUL", "SHA"]),
        ("phase_lock         ", ["AL", "EN", "IL", "OZ", "ZHIR", "SHA"]),
        ("resonance_peak     ", ["AL", "EN", "IL", "RA", "SHA"]),
    ]
    invalid = []
    for name, seq in registry:
        ok = valid(seq)
        if not ok:
            invalid.append(name.strip())
        print(f"    {'VALID  ' if ok else 'INVALID'}  {name} {' '.join(seq)}")
    print(f"\n  -> {len(invalid)} of 10 registry sequences are INVALID under U1-U6:")
    print(f"     {invalid}")
    print("     therapeutic_proto starts with EN (not a U1a generator);")
    print("     full_deployment has ZHIR with no prior IL (U4b violated).")
    print("  -> the flat code patterns diverge from the PDF (MACRO INIT is")
    print("     [AL,IL,UM], not Bootstrap's [AL,UM,IL]) and dropped THOL nesting.")


def experiment_2_composition():
    print()
    print("=" * 72)
    print("E2: COMPOSITION - fragments become valid words with grammar glue")
    print("=" * 72)
    print("  A fragment is completed by a U1a generator prefix + U1b closure")
    print("  suffix (and the U4b context a transformer needs):")
    cases = [
        ("Bootstrap  [AL,UM,IL]", ["AL", "UM", "IL"], ["AL", "UM", "IL", "SHA"]),
        ("Stabilize  [IL,SHA]", ["IL", "SHA"], ["AL", "IL", "SHA"]),
        (
            "Explore    [OZ,ZHIR,IL]",
            ["OZ", "ZHIR", "IL"],
            ["AL", "IL", "OZ", "ZHIR", "IL", "SHA"],
        ),
        (
            "MOD ESTAB. [OZ,ZHIR,IL]",
            ["OZ", "ZHIR", "IL"],
            ["AL", "IL", "OZ", "ZHIR", "IL", "SHA"],
        ),
    ]
    for name, frag, word in cases:
        print(
            f"    {name:24s} fragment={valid(frag)!s:5s} "
            f"-> [{' '.join(word)}] = {valid(word)}"
        )
    print("\n  Macros compose into larger valid words (generator ... closure):")
    # MACRO INIT [AL,IL,UM] composed with Activacion-simple [.,IL,RA] + closure
    composed = ["AL", "IL", "UM", "IL", "RA", "SHA"]
    print(
        f"    INIT[AL,IL,UM] (+) [IL,RA] (+) SHA = "
        f"[{' '.join(composed)}] = {valid(composed)}"
    )
    composed2 = ["AL", "IL", "OZ", "ZHIR", "IL", "UM", "RA", "SHA"]
    print(
        f"    INIT (+) MOD-ESTAB (+) propagate (+) SHA = "
        f"[{' '.join(composed2)}] = {valid(composed2)}"
    )
    print("  -> the glyphic functions are the WORDS; composition (with grammar")
    print("     glue) is the higher grammar -- the PDF's 'compose into more")
    print("     complex structures', recovered exactly.")


def experiment_3_nesting():
    print()
    print("=" * 72)
    print("E3: NESTING THOL[...] = CONTEXT-FREE (the recovered fractal variable)")
    print("=" * 72)
    print("  (a) a well-formed nested glyphic function flattens to a valid word:")
    nested = ["AL", "IL", "OZ", ("THOL", ["IL", "OZ", "ZHIR", "UM"]), "IL", "SHA"]
    flat = flatten(nested)
    print("      AL IL OZ THOL[ IL OZ ZHIR UM ] IL SHA")
    print(f"      flattened: {' '.join(flat)}  -> valid={valid(flat)}")
    deep = [
        "AL",
        "IL",
        "OZ",
        ("THOL", ["IL", "OZ", ("THOL", ["IL", "OZ", "ZHIR"]), "IL"]),
        "IL",
        "SHA",
    ]
    flatd = flatten(deep)
    print(f"      depth-2:   {' '.join(flatd)}  -> valid={valid(flatd)}")
    print("      -> the regular operator layer (ex 139-142) is preserved.")

    print("\n  (b) nesting tree shapes with n THOL nodes = Catalan(n) (Dyck/CF):")

    def count_nestings(n):
        c = [1]
        for k in range(1, n + 1):
            c.append(sum(c[i] * c[k - 1 - i] for i in range(k)))
        return c

    cnt = count_nestings(8)
    print("      n :  shapes  Catalan(n)  match")
    for n in range(0, 9):
        cat = catalan(n)
        print(f"      {n} :  {cnt[n]:>6}  {cat:>10}  {cnt[n] == cat}")

    print("\n  (c) bracket depth is unbounded and balanced -> not regular:")
    for n in [1, 2, 3, 4]:
        s = "THOL[" * n + " ZHIR " + "]" * n
        depth = n
        print(f"      THOL^{n}: {s.strip()}  depth={depth} (balanced)")
    print("      a finite automaton has bounded states and cannot count")
    print("      arbitrary nesting depth -> the bracketed glyphic-function")
    print("      language is CONTEXT-FREE but NOT regular (pumping lemma).")
    print("\n  PHYSICAL CONTENT: bracket depth = nested-EPI fractal scale (U5).")
    print("  Operational fractality U5 is exactly the feature that lifts the")
    print("  glyphic language from regular (the operator grammar L) to")
    print("  context-free. The flat code patterns are its depth-0 projection.")


def main():
    print()
    print("#" * 72)
    print("# Example 143 - The Glyphic-Function Sub-Language and Its Nesting")
    print("#" * 72)
    print()
    experiment_1_audit()
    experiment_2_composition()
    experiment_3_nesting()
    print()
    print("=" * 72)
    print("Summary")
    print("=" * 72)
    print("  The code-side 'canonical patterns' (Bootstrap/Stabilize/Explore/")
    print("  Propagate) are a flat, partly-invalid, divergent re-invention of the")
    print("  original TNFR.pdf glyphic functions. Reconstructed canonically, the")
    print("  sub-language is: macros (fragments) that COMPOSE into valid words via")
    print("  grammar glue, with THOL[...] NESTING that makes the full language")
    print("  context-free -- nesting depth = the U5 fractal scale. Audit +")
    print("  characterization; no operator physics changed, no open problem closed.")
    print()


if __name__ == "__main__":
    main()