.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/language/plot_spn_dsl.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_examples_language_plot_spn_dsl.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_language_plot_spn_dsl.py:


=================================
Domain Specific Language for SPNs
=================================

We start by creating an SPN. Using a Domain-Specific Language (DSL), we can
quickly create an SPN of categorical leave nodes like this:

.. GENERATED FROM PYTHON SOURCE LINES 9-25



.. image-sg:: /auto_examples/language/images/sphx_glr_plot_spn_dsl_001.png
   :alt: plot spn dsl
   :srcset: /auto_examples/language/images/sphx_glr_plot_spn_dsl_001.png
   :class: sphx-glr-single-img





.. code-block:: default


    from spn.structure.leaves.parametric.Parametric import Categorical
    from spn.io.Graphics import draw_spn

    import matplotlib.pyplot as plt


    spn = 0.4 * (
        Categorical(p=[0.2, 0.8], scope=0)
        * (
            0.3 * (Categorical(p=[0.3, 0.7], scope=1) * Categorical(p=[0.4, 0.6], scope=2))
            + 0.7 * (Categorical(p=[0.5, 0.5], scope=1) * Categorical(p=[0.6, 0.4], scope=2))
        )
    ) + 0.6 * (Categorical(p=[0.2, 0.8], scope=0) * Categorical(p=[0.3, 0.7], scope=1) * Categorical(p=[0.4, 0.6], scope=2))

    ax = draw_spn(spn)


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.322 seconds)


.. _sphx_glr_download_auto_examples_language_plot_spn_dsl.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_spn_dsl.py <plot_spn_dsl.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_spn_dsl.ipynb <plot_spn_dsl.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_