hermess.tests.baselines.inverter_baseline
=========================================

.. py:module:: hermess.tests.baselines.inverter_baseline

.. autoapi-nested-parse::

   Shared configuration + runner for the inverter byte-identical baselines.

   Single source of truth for the ``IEEE39_bus_inverter`` baseline runs, imported by
   both ``create_baseline_inverter.py`` (which pickles the references) and the
   ``test_recur_sim_inverter.py`` gates (which compare against them). Keeping the
   config here prevents drift between baseline-creation and the tests. Two cases:

   - ``sim_ld``  -- SIM, ``line_dyn=True`` (ODE; cvodes): 2 GridForming + 3
     GridFollowing + 5 SGs through the t=4.0 bus fault. Run at the production output
     step ``ts=1e-4`` but stored decimated (every ``SIM_LD_STRIDE``-th sample) so the
     pickle stays ~1 MB; a byte-identical refactor matches at every sample.
   - ``sim_alg`` -- SIM, ``line_dyn=False`` (algebraic network / DAE; idas).

   Baselines store only the ``x_full`` numpy arrays, not the whole DaeSim objects:
   under pytest's ``pythonpath="hermess"`` + ``--import-mode=importlib``,
   ``system.DaeSim`` is reachable under two module paths, so whole-object pickling
   raises "it's not the same object". The arrays are all the gates compare.



Attributes
----------

.. autoapisummary::

   hermess.tests.baselines.inverter_baseline.FIXTURE_ROOT
   hermess.tests.baselines.inverter_baseline._BASE
   hermess.tests.baselines.inverter_baseline.SIM_LD_STRIDE
   hermess.tests.baselines.inverter_baseline.T_END
   hermess.tests.baselines.inverter_baseline.BASELINES
   hermess.tests.baselines.inverter_baseline._COMMON
   hermess.tests.baselines.inverter_baseline._INT_OPTS


Functions
---------

.. autoapisummary::

   hermess.tests.baselines.inverter_baseline.make_inverter_baseline_config
   hermess.tests.baselines.inverter_baseline.run_inverter_case


Module Contents
---------------

.. py:data:: FIXTURE_ROOT

.. py:data:: _BASE

.. py:data:: SIM_LD_STRIDE
   :value: 50


.. py:data:: T_END
   :value: 5.0


.. py:data:: BASELINES

.. py:data:: _COMMON

.. py:data:: _INT_OPTS

.. py:function:: make_inverter_baseline_config(case: str)

   Return the config for one baseline ``case`` (``sim_ld`` / ``sim_alg``).


.. py:function:: run_inverter_case(case: str) -> numpy.ndarray

   Run one baseline ``case`` and return the simulated trajectory
   (decimated for ``sim_ld``).