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Summary

  • introduce a persistent user storage layer and activity timeline so GUI sessions retain credentials, research settings, training results, and guard status across restarts
  • wire every tab to the storage layer for state hydration and event logging while adding a real-time history feed in the main window
  • harden model training with imputers to tolerate NaNs and extend application paths/configuration with a dedicated user-data directory

Testing

  • python -m compileall toptek
  • python - <<'PY' ... (fails: ModuleNotFoundError: No module named 'numpy' in the execution environment)

https://chatgpt.com/codex/tasks/task_e_68e0596151208329aa689c0b1b315c8d

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