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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/144_branching_combinator.py

144_branching_combinator.py

Example 144 - The Branching Combinator: the OZ Bifurcation as Alternation, the Union Operation of the Glyphic Regular-Expression Algebra

Example 143 recovered the glyphic-function sub-language from TNFR.pdf 2.3 and found that its NESTING THOL[...] lifts the language to context-free. This example recovers the OTHER feature the flat code patterns dropped: BRANCHING [ZHIR|NUL]. TNFR.pdf 2.3 "Bifurcacion y mutacion": a sequence can include BIFURCATION POINTS, generally triggered by OZ (dissonance), giving possible ramifications OZ -> [ZHIR / NUL]; the mutation can be directed (ZHIR) or lead to collapse / withdrawal (NUL). The PDF is explicit and decisive for doctrine:

"Estas opciones NO son alternativas simbolicas, sino trayectorias estructurales reales en el campo."

So the branch is a REAL physical bifurcation (U4a: d2EPI/dt2 > tau triggers it), not mere syntax: OZ generates a bifurcation threshold and the node either reorganizes (ZHIR) or collapses to latency (NUL).

The grammar/formal content

Branching is the ALTERNATION combinator [A|B]. A branched program X[A|B]Y denotes the set XAY union XBY -- a UNION of words, a REGULAR operation. Regular languages are closed under union, so branching alone does NOT raise the Chomsky class: unlike nesting (ex 143, context-free), branching stays REGULAR. It is a compact notation for a set of words already in the regular operator language L (ex 139).

The capstone is the canonical "Tabla comparativa de estructuras glificas" (TNFR.pdf 2.3), a typology of five glyphic structure shapes: Lineal AL -> IL -> RA -> SHA (simple trajectory) = concatenation Bifurcada OZ -> [ZHIR | NUL] (double trajectory) = UNION <- this ex Fractal NAV -> IL -> UM -> NAV (self-similar cycle) = Kleene star Ciclica THOL[...] -> NAV -> THOL[...] (nodal feedback) = star of nests Jerarquica THOL[ AL -> ZHIR -> IL ] (encapsulated process) = nesting (Dyck) The three NON-nesting operations -- concatenation, union, Kleene star -- are EXACTLY the three regular-expression operations (Kleene's theorem): they generate precisely the regular languages. Only nesting (Jerarquica) escapes to context-free (ex 143). So the glyphic structural typology IS a regular-expression algebra plus nesting, and branching is its UNION operation.

Doctrine compliance

Validity is decided by the canonical validate_grammar oracle (U1-U6). The branch sits at OZ, the canonical bifurcation trigger (U4a). The two-channel measurement applies the canonical operators (Dissonance, Coherence, Mutation, Contraction) in their grammar-correct order and reads the canonical node state -- nothing is imposed.

Three measured results

M1 THE BRANCH IS A REAL BIFURCATION INTO TWO ORTHOGONAL BASINS. Both branches OZ->ZHIR and OZ->NUL are grammar-valid (10 valid continuations after [AL,IL, OZ]; ZHIR and NUL are two of them). From the SAME post-[IL,OZ] state the two branches move ORTHOGONAL channels: ZHIR reorganizes the PHASE (d-theta=0.236, d|EPI|=0.000), NUL contracts the STRUCTURE (d-theta=0.000, d|EPI|=0.058). This is the PDF's "trayectorias estructurales reales": reorganize vs collapse, two physically distinct basins of the OZ-triggered bifurcation.

M2 ALTERNATION IS A REGULAR OPERATION. X[A|B]Y = XAY union XBY; regular languages are closed under union, so branching does NOT raise the Chomsky class (contrast nesting THOL[...] = context-free, ex 143). A branched program with k binary choice points denotes exactly 2^k concrete words; expanding and validating them confirms all 2^k are grammar-valid words already in L. Branching is exponential COMPRESSION -- a compact name for a set of already-valid words.

M3 THE GLYPHIC TYPOLOGY IS A REGULAR-EXPRESSION ALGEBRA PLUS NESTING. The PDF "Tabla comparativa de estructuras glificas" has five types; their combinators are concatenation (Lineal), union (Bifurcada <- this ex), Kleene star (Fractal/ Ciclica), and nesting (Jerarquica). The three non-nesting operations are exactly the regular-expression operations (Kleene's theorem) and generate the regular languages; only nesting escapes to context-free. Branching is the UNION operation of this algebra.

Honest scope

This is standard formal-language theory (closure of regular languages under union; Kleene's theorem that regular = {concatenation, union, star}; the Chomsky hierarchy) applied to the canonical grammar U1-U6 and the canonical OZ/U4a bifurcation recovered from TNFR.pdf. The two-channel table is a robust measurement of the canonical operator contracts (ZHIR = phase, NUL = structure), honoring the PDF's "trayectorias reales". It is an audit + characterization; it does not modify the operators or the grammar, and it closes no open problem. It completes the glyphic combinator set begun in ex 143 (nesting): sequence, branch, cycle (regular) + nest (context-free).

References

  • theory/TNFR.pdf 2.3 ("Bifurcacion y mutacion", "Estructuras bifurcadas", "Tabla comparativa de estructuras glificas")
  • src/tnfr/operators/grammar_validate.py (the canonical validate_grammar oracle)
  • src/tnfr/operators/definitions.py (Dissonance/Coherence/Mutation/Contraction)
  • examples/08_emergent_geometry/143_glyphic_function_sublanguage.py (nesting = CF)
  • examples/08_emergent_geometry/139_grammar_formal_language.py (L is regular)
  • AGENTS.md "Unified Grammar (U1-U6)" U4a (OZ bifurcation trigger), operator cards (ZHIR phase transformation, NUL structural contraction)

Source Code

python
#!/usr/bin/env python3
"""
Example 144 - The Branching Combinator: the OZ Bifurcation as Alternation, the
Union Operation of the Glyphic Regular-Expression Algebra
==============================================================================

Example 143 recovered the glyphic-function sub-language from TNFR.pdf 2.3 and
found that its NESTING THOL[...] lifts the language to context-free. This example
recovers the OTHER feature the flat code patterns dropped: BRANCHING [ZHIR|NUL].
TNFR.pdf 2.3 "Bifurcacion y mutacion": a sequence can include BIFURCATION POINTS,
generally triggered by OZ (dissonance), giving possible ramifications
OZ -> [ZHIR / NUL]; the mutation can be directed (ZHIR) or lead to collapse /
withdrawal (NUL). The PDF is explicit and decisive for doctrine:

  "Estas opciones NO son alternativas simbolicas, sino trayectorias
   estructurales reales en el campo."

So the branch is a REAL physical bifurcation (U4a: d2EPI/dt2 > tau triggers it),
not mere syntax: OZ generates a bifurcation threshold and the node either
reorganizes (ZHIR) or collapses to latency (NUL).

The grammar/formal content
--------------------------
Branching is the ALTERNATION combinator [A|B]. A branched program X[A|B]Y denotes
the set XAY union XBY -- a UNION of words, a REGULAR operation. Regular languages
are closed under union, so branching alone does NOT raise the Chomsky class:
unlike nesting (ex 143, context-free), branching stays REGULAR. It is a compact
notation for a set of words already in the regular operator language L (ex 139).

The capstone is the canonical "Tabla comparativa de estructuras glificas"
(TNFR.pdf 2.3), a typology of five glyphic structure shapes:
  Lineal     AL -> IL -> RA -> SHA              (simple trajectory)        = concatenation
  Bifurcada  OZ -> [ZHIR | NUL]                 (double trajectory)        = UNION  <- this ex
  Fractal    NAV -> IL -> UM -> NAV             (self-similar cycle)       = Kleene star
  Ciclica    THOL[...] -> NAV -> THOL[...]      (nodal feedback)           = star of nests
  Jerarquica THOL[ AL -> ZHIR -> IL ]           (encapsulated process)     = nesting (Dyck)
The three NON-nesting operations -- concatenation, union, Kleene star -- are
EXACTLY the three regular-expression operations (Kleene's theorem): they generate
precisely the regular languages. Only nesting (Jerarquica) escapes to
context-free (ex 143). So the glyphic structural typology IS a regular-expression
algebra plus nesting, and branching is its UNION operation.

Doctrine compliance
-------------------
Validity is decided by the canonical validate_grammar oracle (U1-U6). The branch
sits at OZ, the canonical bifurcation trigger (U4a). The two-channel measurement
applies the canonical operators (Dissonance, Coherence, Mutation, Contraction) in
their grammar-correct order and reads the canonical node state -- nothing is
imposed.

Three measured results
----------------------
M1 THE BRANCH IS A REAL BIFURCATION INTO TWO ORTHOGONAL BASINS. Both branches
   OZ->ZHIR and OZ->NUL are grammar-valid (10 valid continuations after [AL,IL,
   OZ]; ZHIR and NUL are two of them). From the SAME post-[IL,OZ] state the two
   branches move ORTHOGONAL channels: ZHIR reorganizes the PHASE (d-theta=0.236,
   d|EPI|=0.000), NUL contracts the STRUCTURE (d-theta=0.000, d|EPI|=0.058). This
   is the PDF's "trayectorias estructurales reales": reorganize vs collapse, two
   physically distinct basins of the OZ-triggered bifurcation.

M2 ALTERNATION IS A REGULAR OPERATION. X[A|B]Y = XAY union XBY; regular languages
   are closed under union, so branching does NOT raise the Chomsky class
   (contrast nesting THOL[...] = context-free, ex 143). A branched program with k
   binary choice points denotes exactly 2^k concrete words; expanding and
   validating them confirms all 2^k are grammar-valid words already in L. Branching
   is exponential COMPRESSION -- a compact name for a set of already-valid words.

M3 THE GLYPHIC TYPOLOGY IS A REGULAR-EXPRESSION ALGEBRA PLUS NESTING. The PDF
   "Tabla comparativa de estructuras glificas" has five types; their combinators
   are concatenation (Lineal), union (Bifurcada <- this ex), Kleene star (Fractal/
   Ciclica), and nesting (Jerarquica). The three non-nesting operations are
   exactly the regular-expression operations (Kleene's theorem) and generate the
   regular languages; only nesting escapes to context-free. Branching is the UNION
   operation of this algebra.

Honest scope
------------
This is standard formal-language theory (closure of regular languages under
union; Kleene's theorem that regular = {concatenation, union, star}; the Chomsky
hierarchy) applied to the canonical grammar U1-U6 and the canonical OZ/U4a
bifurcation recovered from TNFR.pdf. The two-channel table is a robust
measurement of the canonical operator contracts (ZHIR = phase, NUL = structure),
honoring the PDF's "trayectorias reales". It is an audit + characterization; it
does not modify the operators or the grammar, and it closes no open problem. It
completes the glyphic combinator set begun in ex 143 (nesting): sequence, branch,
cycle (regular) + nest (context-free).

References
----------
- theory/TNFR.pdf 2.3 ("Bifurcacion y mutacion", "Estructuras bifurcadas",
  "Tabla comparativa de estructuras glificas")
- src/tnfr/operators/grammar_validate.py (the canonical validate_grammar oracle)
- src/tnfr/operators/definitions.py (Dissonance/Coherence/Mutation/Contraction)
- examples/08_emergent_geometry/143_glyphic_function_sublanguage.py (nesting = CF)
- examples/08_emergent_geometry/139_grammar_formal_language.py (L is regular)
- AGENTS.md "Unified Grammar (U1-U6)" U4a (OZ bifurcation trigger), operator cards
  (ZHIR phase transformation, NUL structural contraction)
"""

import os
import sys

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

import copy
import itertools
import math
import warnings

import networkx as nx

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

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


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


def _epi_mag(v):
    """Robust scalar magnitude of an EPI value (scalar or structured)."""
    if isinstance(v, dict):
        c = v.get("continuous")
        return abs(c[0]) if c else 0.0
    return abs(v)


def _apply(G, op, nd=0):
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        op(G, nd)


def _build_node(seed=7):
    """Canonical small network with a populated node state (nothing imposed)."""
    G = nx.erdos_renyi_graph(12, 0.3, seed=seed)
    if not nx.is_connected(G):
        comps = list(nx.connected_components(G))
        for i in range(1, len(comps)):
            G.add_edge(next(iter(comps[i - 1])), next(iter(comps[i])))
    inject_defaults(G)
    import numpy as np

    rng = np.random.default_rng(seed)
    for nd in G.nodes():
        G.nodes[nd]["EPI"] = rng.uniform(0.4, 0.7)
        G.nodes[nd]["theta"] = rng.uniform(0, 2 * math.pi)
        G.nodes[nd]["nu_f"] = rng.uniform(0.8, 1.2)
    return G


def experiment_1_real_bifurcation():
    print("=" * 72)
    print("M1: the branch is a real bifurcation into two ORTHOGONAL basins")
    print("=" * 72)
    pre = ["AL", "IL", "OZ"]
    branch_z = pre + ["ZHIR", "IL", "SHA"]
    branch_n = pre + ["NUL", "IL", "SHA"]
    print("  PDF: OZ -> [ZHIR | NUL]  (bifurcation triggered by OZ, U4a)")
    print(f"  ZHIR branch {branch_z}: valid={valid(branch_z)}")
    print(f"  NUL  branch {branch_n}: valid={valid(branch_n)}")
    conts = [op for op in INST if valid(pre + [op, "IL", "SHA"])]
    print(f"  valid continuations after [AL,IL,OZ]: {conts}")
    print(f"  -> {len(conts)} valid; ZHIR and NUL are two physically meaningful ones")

    # two-channel table from the SAME post-[IL,OZ] state
    gz = _build_node()
    _apply(gz, Coherence())  # prior IL = stable base (U4b)
    _apply(gz, Dissonance())  # recent OZ = elevated dNFR (bifurcation trigger)
    gn = copy.deepcopy(gz)
    th0 = gz.nodes[0]["theta"]
    ep0 = _epi_mag(gz.nodes[0]["EPI"])
    _apply(gz, Mutation())  # ZHIR branch
    _apply(gn, Contraction())  # NUL branch
    dz_th = abs(gz.nodes[0]["theta"] - th0)
    dz_ep = abs(_epi_mag(gz.nodes[0]["EPI"]) - ep0)
    dn_th = abs(gn.nodes[0]["theta"] - th0)
    dn_ep = abs(_epi_mag(gn.nodes[0]["EPI"]) - ep0)
    print()
    print(f"  from the SAME post-[IL,OZ] state (theta={th0:.4f}, |EPI|={ep0:.4f}):")
    print("    branch   d(theta)   d|EPI|    channel moved")
    print(
        f"    ZHIR     {dz_th:.4f}     {dz_ep:.4f}    PHASE (reorganize, theta->theta')"
    )
    print(
        f"    NUL      {dn_th:.4f}     {dn_ep:.4f}    STRUCTURE (collapse, dim EPI down)"
    )
    print("  -> the branches move ORTHOGONAL channels: a real bifurcation into")
    print("     two distinct basins (PDF: NOT symbolic alternatives but real")
    print("     structural trajectories).")


def experiment_2_alternation_regular():
    print()
    print("=" * 72)
    print("M2: alternation [A|B] is a REGULAR operation (branching stays regular)")
    print("=" * 72)
    print("  X[A|B]Y = XAY union XBY; regular languages are closed under union,")
    print("  so branching does NOT raise the Chomsky class (contrast nesting")
    print("  THOL[...] = context-free, ex 143). Branching = compact notation for")
    print("  a set of words already in the regular operator language L (ex 139).")

    # a branched program with k binary choice points -> 2^k concrete words
    print("\n  exponential compression: k binary choices -> 2^k concrete words")
    # program: AL IL [OZ ZHIR | OZ NUL] IL [RA | NUL] [SHA | NAV-closure...]
    # use canonical binary bifurcations, each pair grammar-interchangeable here.
    choice_sets = [
        ("c1", [["OZ", "ZHIR"], ["OZ", "NUL"]]),
        ("c2", [["IL"], ["IL", "IL"]]),
        ("c3", [["SHA"], ["OZ"]]),  # both are valid U1b closures
    ]
    for k in (1, 2, 3):
        prefix = ["AL", "IL"]
        sets = choice_sets[:k]
        words = []
        for combo in itertools.product(*[opts for _, opts in sets]):
            w = list(prefix)
            for part in combo:
                w += part
            # ensure a closure end for k<3 cases
            if w[-1] not in ("SHA", "OZ", "NAV", "REMESH"):
                w += ["SHA"]
            words.append(tuple(w))
        n_expanded = len(set(words))
        n_valid = sum(valid(list(w)) for w in set(words))
        print(
            f"    k={k} binary choices: 2^{k}={2**k} expansions, "
            f"{n_expanded} distinct, {n_valid} grammar-valid"
        )
    print("  -> a single branched glyphic program is a compact generator of an")
    print("     exponential set of concrete words, all already valid in L.")


def experiment_3_regexp_algebra():
    print()
    print("=" * 72)
    print("M3: the glyphic structural typology = regular-expression algebra + nest")
    print("=" * 72)
    typology = [
        ("Lineal    ", ["AL", "IL", "RA", "SHA"], "concatenation", "regular"),
        ("Bifurcada ", None, "union (alternation)  <- this example", "regular"),
        ("Fractal   ", ["NAV", "IL", "UM", "NAV"], "Kleene star (repeat)", "regular"),
        ("Ciclica   ", None, "star of nests", "context-free"),
        ("Jerarquica", None, "nesting (Dyck)  (ex 143)", "context-free"),
    ]
    print("  TNFR.pdf 'Tabla comparativa de estructuras glificas' (5 types):")
    print(f"    {'type':11s} {'combinator':36s} {'class'}")
    for name, seq, comb, cls in typology:
        print(f"    {name:11s} {comb:36s} {cls}")
    # verify the two concrete regular examples are valid words
    lineal = ["AL", "IL", "RA", "SHA"]
    fractal = ["NAV", "IL", "UM", "NAV"]
    print()
    print(f"  Lineal  {lineal}  valid={valid(lineal)}")
    print(
        f"  Fractal {fractal}  valid={valid(fractal)} "
        f"(NAV is both generator U1a and closure U1b)"
    )
    print()
    print("  Kleene's theorem: the regular languages are generated by exactly")
    print("  three operations -- concatenation, union, Kleene star. The glyphic")
    print("  typology's non-nesting types (Lineal=concat, Bifurcada=union,")
    print("  Fractal/Ciclica-repeat=star) ARE those three operations; only")
    print("  nesting (Jerarquica, THOL[...]) escapes to context-free (ex 143).")
    print("  -> branching is the UNION operation of the glyphic regexp algebra.")


def main():
    print()
    print("#" * 72)
    print("# Example 144 - The Branching Combinator: OZ Bifurcation as Alternation")
    print("#" * 72)
    print()
    experiment_1_real_bifurcation()
    experiment_2_alternation_regular()
    experiment_3_regexp_algebra()
    print()
    print("=" * 72)
    print("Summary")
    print("=" * 72)
    print("  Branching [ZHIR|NUL] is the OZ bifurcation made syntactic: a real")
    print("  bifurcation into two orthogonal basins (ZHIR=phase, NUL=structure),")
    print("  written as the ALTERNATION combinator. Alternation is a regular")
    print("  operation (union), so branching keeps the language regular -- only")
    print("  nesting (ex 143) is context-free. The glyphic structural typology is")
    print("  a regular-expression algebra (concat/union/star) + nesting, and")
    print("  branching is its union operation. Audit + characterization; no")
    print("  operator physics changed, no open problem closed.")
    print()


if __name__ == "__main__":
    main()