booldog.io.igraph
=================

.. py:module:: booldog.io.igraph

.. autoapi-nested-parse::

   Function to transform booldog:Network to DiGraph



Attributes
----------

.. autoapisummary::

   booldog.io.igraph._IGRAPH_AVAILABLE
   booldog.io.igraph.logger


Functions
---------

.. autoapisummary::

   booldog.io.igraph.booldog2igraph


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

.. py:data:: _IGRAPH_AVAILABLE
   :value: True


.. py:data:: logger

.. py:function:: booldog2igraph(model, as_logic_circuit=True)

   Export a BoolDog Boolean model to an igraph graph object.

   :param model: A BoolDog object representing a Boolean network.
   :type model: booldog:BoolDogModel
   :param as_logic_circuit: If True, the graph is exported as a logic circuit (Boolean rules
                            are represented as "logical" nodes (and, or, not) and edges.
                            Otherwise, it is exported as a directed interaction graph. Default is False.
   :type as_logic_circuit: bool

   :returns: **graph** -- A igraph.Graph object with the same nodes as the input network.
             If `as_logic_circuit` is True, Boolean rules are represented as
             "logical" nodes (and, or, not) and edges.
   :rtype: igraph.Graph

   .. rubric:: Notes

   See also pyboolnet.interaction_graphs.primes2igraph.

   Implemented via conversion to Networkx DiGraph, then to igraph Graph,
   to reuse pyboolet function and logic circuits code.