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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_minimal_usage_example_minimal_usage_example.py:


Minimal usage example
=====================

.. GENERATED FROM PYTHON SOURCE LINES 5-22

.. code-block:: default


    import nnmt

    # instantiate network
    network = nnmt.models.Basic('network_params.yaml')

    # calculate working point
    wp = nnmt.lif.exp.working_point(network)

    # print results
    print('Working point:')
    print(f"mean input: {wp['mean_input']}")
    print(f"std input: {wp['std_input']}")
    print(f"firing rates: {wp['firing_rates']}")

    # save results to h5 file
    network.save('microcircuit_working_point.h5')


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

   **Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_minimal_usage_example_minimal_usage_example.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: minimal_usage_example.py <minimal_usage_example.py>`



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

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


.. only:: html

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

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