pyrevs.strategies.montecarlo.extension
======================================

.. py:module:: pyrevs.strategies.montecarlo.extension

.. autoapi-nested-parse::

   An extension class for the MonteCarlo strategy.



Attributes
----------

.. autoapisummary::

   pyrevs.strategies.montecarlo.extension.T_Noise
   pyrevs.strategies.montecarlo.extension.T_State


Classes
-------

.. autoapisummary::

   pyrevs.strategies.montecarlo.extension.MCDatabaseExtension


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

.. py:data:: T_Noise

.. py:data:: T_State

.. py:class:: MCDatabaseExtension

   Bases: :py:obj:`pyrevs.database.StrategyDatabaseExtension`


   An extension class for the MonteCarlo strategy.

   The Monte-Carlo strategy has minimal extension requirements.
   It mostly provides a concrete implementation of the
   event probability computation method.

   It only holds a reference to the core trajectory database.

   :ivar _tdb: the core trajectory database



   .. py:method:: initialize(tdb: pyrevs.database.Database) -> None

      Initialize the AMS database extension.

      :param tdb: the core trajectory database



   .. py:method:: initialize_from_database(tdb: pyrevs.database.Database) -> None

      Initialize the AMS database extension.

      :param tdb: the core trajectory database



   .. py:method:: serialize() -> None

      Serialize the extension.



   .. py:method:: deserialize() -> None

      Serialize the extension.



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

      Return the event probability.