robokudo.annotators.lambda_function
===================================

.. py:module:: robokudo.annotators.lambda_function

.. autoapi-nested-parse::

   Lambda function annotator for RoboKudo.

   This module provides an annotator for executing arbitrary functions.
   It supports:

   * Dynamic function execution
   * Custom function arguments
   * Flexible parameter passing
   * Generic function handling

   The module is used for:

   * Custom processing
   * Dynamic behavior
   * Testing and debugging
   * Quick prototyping



Classes
-------

.. autoapisummary::

   robokudo.annotators.lambda_function.LambdaFunctionAnnotator


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

.. py:class:: LambdaFunctionAnnotator(name='LambdaFunctionAnnotator', descriptor=Descriptor())

   Bases: :py:obj:`robokudo.annotators.core.BaseAnnotator`


   Annotator for executing arbitrary functions.

   This annotator executes a provided function with configurable arguments,
   allowing for dynamic behavior definition without creating new annotator classes.

   :ivar descriptor: Configuration descriptor containing function parameters
   :type descriptor: LambdaFunctionAnnotator.Descriptor


   .. py:class:: Descriptor

      Bases: :py:obj:`robokudo.annotators.core.BaseAnnotator.Descriptor`


      Configuration descriptor for lambda function annotator.

      :ivar parameters: Function parameters
      :type parameters: LambdaFunctionAnnotator.Descriptor.Parameters


      .. py:class:: Parameters

         Parameter container for function configuration.

         :ivar func: Function to execute
         :type func: callable
         :ivar func_args: Positional arguments for function
         :type func_args: tuple
         :ivar func_kwargs: Keyword arguments for function
         :type func_kwargs: dict


         .. py:attribute:: func
            :value: None



         .. py:attribute:: func_args
            :value: None



         .. py:attribute:: func_kwargs
            :value: None




      .. py:attribute:: parameters



   .. py:method:: update()

      Execute the configured function.

      The function is called with the annotator instance as first argument,
      followed by any configured positional and keyword arguments.

      :return: SUCCESS status
      :rtype: py_trees.common.Status