:class:`ParsedLog`
==================


.. py:class:: pyedb.workflows.utilities.hfss_log_parser.ParsedLog

   
   Root container returned by :meth:`HFSSLogParser.parse`.

   :ivar ProjectInfo project: Project meta-data.
   :ivar InitMesh init_mesh: Initial-mesh metrics.
   :ivar list[AdaptivePass] adaptive: Adaptive passes in chronological order.
   :ivar Sweep | None sweep: Frequency-sweep summary (``None`` if absent).















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.. py:currentmodule:: ParsedLog

Overview
--------

.. tab-set::



   .. tab-item:: Methods

      .. list-table::
          :header-rows: 0
          :widths: auto

          * - :py:attr:`~to_dict`
            - Deep-convert the entire object to JSON-serialisable primitives.
          * - :py:attr:`~is_converged`
            - Return ``True`` if the adaptive solver declared convergence.
          * - :py:attr:`~adaptive_passes`
            - Alias to keep API explicit.
          * - :py:attr:`~memory_on_convergence`
            - Memory (MB) consumed by the *last* converged adaptive pass.
          * - :py:attr:`~is_completed`
            - Heuristic indicating a successful end-to-end solve.
          * - :py:attr:`~errors`
            - Extract only **error** lines (warnings are ignored).



   .. tab-item:: Attributes

      .. list-table::
          :header-rows: 0
          :widths: auto

          * - :py:attr:`~project`
            - 
          * - :py:attr:`~init_mesh`
            - 
          * - :py:attr:`~adaptive`
            - 
          * - :py:attr:`~sweep`
            - 






Import detail
-------------

.. code-block:: python

    from pyedb.workflows.utilities.hfss_log_parser import ParsedLog


Attribute detail
----------------

.. py:attribute:: project
   :type:  ProjectInfo

.. py:attribute:: init_mesh
   :type:  InitMesh

.. py:attribute:: adaptive
   :type:  List[AdaptivePass]

.. py:attribute:: sweep
   :type:  Optional[Sweep]



Method detail
-------------

.. py:method:: to_dict() -> dict

   
   Deep-convert the entire object to JSON-serialisable primitives.

   :return: Plain ``dict`` / ``list`` / scalar structure.
   :rtype: dict[str, Any]















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.. py:method:: is_converged() -> bool

   
   Return ``True`` if the adaptive solver declared convergence.

   :rtype: bool















   ..
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.. py:method:: adaptive_passes() -> List[AdaptivePass]

   
   Alias to keep API explicit.
















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.. py:method:: memory_on_convergence() -> float

   
   Memory (MB) consumed by the *last* converged adaptive pass.

   :return: Megabytes, or :py:const:`math.nan` if no pass converged.
   :rtype: float















   ..
       !! processed by numpydoc !!

.. py:method:: is_completed() -> bool

   
   Heuristic indicating a successful end-to-end solve.

   A simulation is considered complete when **both** of the following
   conditions are satisfied:

   1. At least one adaptive pass converged.
   2. A frequency-sweep block exists with elapsed time greater than zero.

   :rtype: bool















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.. py:method:: errors() -> List[str]

   
   Extract only **error** lines (warnings are ignored).

   ANSYS marks errors with ``[error]`` or ``*** ERROR ***``.

   :return: List of stripped error lines (empty if none).
   :rtype: list[str]















   ..
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