CaseOp
======

.. py:class:: CaseOp(expression)
   :canonical: ansys.scade.apitools.expr.access.CaseOp



Bases: :py:obj:`CallExpression`


   Provides the case expression.

   Here is the format:

   .. code::

      ( case <switch> of ``
        | <pattern> :   <flow>
        | ...
        | <pattern> :   <flow>
        | _ :   <default>)

   See the :ref:`case_op <ex__case_op>` example.

   :Parameters:

       **expression**
           Call expression to wrap.









   .. rubric:: Notes

   The design differs slightly from the meta-model. The ``Case`` case used to
   implement the ``case`` collection is replaced by a tuple (``pattern``, ``flow``).

   A new property, ``default``, provides the optional default value.





   ..
       !! processed by numpydoc !!












Overview
--------
.. py:currentmodule:: CaseOp
.. tab-set::




    .. tab-item:: Properties

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

          * - :py:attr:`~cases`
            - Pairs (:class:`~Expression`, :class:`~Expression`) to build the case.
          * - :py:attr:`~default`
            - Value to use as default when not ``None``.
          * - :py:attr:`~switch`
            - Selector of the case expression.






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

.. code-block:: python

    from ansys.scade.apitools.expr.access import CaseOp


Property detail
---------------
.. py:property:: cases
   :canonical: ansys.scade.apitools.expr.access.CaseOp.cases
   :type: list[tuple[Expression, Expression]]


   
   Pairs (:class:`~Expression`, :class:`~Expression`) to build the case.
















   ..
       !! processed by numpydoc !!

.. py:property:: default
   :canonical: ansys.scade.apitools.expr.access.CaseOp.default
   :type: Optional[Expression]


   
   Value to use as default when not ``None``.
















   ..
       !! processed by numpydoc !!

.. py:property:: switch
   :canonical: ansys.scade.apitools.expr.access.CaseOp.switch
   :type: Expression


   
   Selector of the case expression.
















   ..
       !! processed by numpydoc !!