teniapc07-debug/pso-rna-suite

How teniapc07-debug/pso-rna-suite works

Suite PSO + RNA is a desktop application with two coordinated workflows: users configure and run particle-swarm optimization against either a validated symbolic objective or an RNA model, and can separately build, train, validate, and export an RNA. The shared in-memory state enables a trained model to be used by PSO without restarting. The graph preserves these documented capabilities and the central persistence and model-discovery services. Some runner internals were only partly excerpted, so unsupported links are omitted or marked unverified.

Main entry points: pso_runner.py PSO workflow · rna_runner.py RNA workflow · app.py Window and dispatch · rutas.py Data paths

Components 19

Desktop app

Window and dispatch app.py
PSO controls ui/ui_pso.py
RNA controls ui/ui_rna.py
Results view ui/ui_resultados.py
Shared session state estado.py

PSO optimization

PSO workflow logica/pso_runner.py
Objective parser PSO_MV/funcion_objetivo.py
Swarm optimizer PSO_MV/Enjambre_M.py
Particle dynamics PSO_MV/Particula_M.py

RNA modeling

RNA workflow logica/rna_runner.py
RNA model adapter RNA/Hibrido.py
RNA tutor RNA/RedNeuronal_Tutor.py

Shared services

Model discovery logica/buscador_modelos.py
Run history logica/historial.py
Table I/O logica/io_tablas.py
Data paths logica/rutas.py
Logging logica/logging_config.py
Local data files

Other components

User

Connections 31

User → Window and dispatch: uses README.md
Window and dispatch → PSO controls: builds controls app.py
Window and dispatch → RNA controls: builds controls app.py
Window and dispatch → Results view: builds view app.py
Window and dispatch → PSO workflow: dispatches PSO app.py
Window and dispatch → RNA workflow: dispatches RNA app.py
Window and dispatch → Shared session state: reads shared state app.py
PSO workflow → Shared session state: updates state logica/pso_runner.py
RNA workflow → Shared session state: updates state logica/rna_runner.py
PSO workflow → Objective parser: uses objective logica/pso_runner.py
PSO workflow → Swarm optimizer: runs swarm logica/pso_runner.py
Swarm optimizer → Particle dynamics: creates particles PSO_MV/Enjambre_M.py
PSO workflow → RNA model adapter: loads RNA model logica/pso_runner.py
PSO workflow → Model discovery: resolves models logica/pso_runner.py
RNA workflow → Table I/O: reads tables logica/rna_runner.py
RNA workflow → Objective parser: uses objective logica/rna_runner.py
PSO workflow → Run history: records runs logica/pso_runner.py
PSO workflow → Table I/O: writes tables logica/pso_runner.py
RNA workflow → Data paths: uses data paths logica/rna_runner.py
PSO workflow → Data paths: uses data paths logica/pso_runner.py
Run history → Data paths: gets file paths logica/historial.py
Model discovery → Data paths: gets file paths logica/buscador_modelos.py
Window and dispatch → Logging: configures logging app.py
PSO workflow → Logging: logs operations logica/pso_runner.py
RNA workflow → Logging: logs operations logica/rna_runner.py
Run history → Local data files: persists history logica/historial.py
Table I/O → Local data files: reads and writes logica/io_tablas.py
PSO workflow → Results view: refreshes results
RNA workflow → RNA tutor: trains model
RNA workflow → RNA model adapter: exports model
RNA workflow → PSO workflow: model reuse README.md

Drawn by GitDiagram on November 11, 2026 from the repository's file tree, README and source files. Read as Markdown ·