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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_examples_basic_parallel.py>`
        to download the full example code.

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

.. _sphx_glr_auto_examples_basic_parallel.py:


Parallel
========

Minimal example of parallel bubble solving

.. GENERATED FROM PYTHON SOURCE LINES 7-38



.. image-sg:: /auto_examples/basic/images/sphx_glr_parallel_001.png
   :alt: parallel
   :srcset: /auto_examples/basic/images/sphx_glr_parallel_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/pttools/checkouts/stable/pttools/bubble/alpha.py:40: NumbaWarning: The TBB threading layer requires TBB version 2021 update 6 or later i.e., TBB_INTERFACE_VERSION >= 12060. Found TBB_INTERFACE_VERSION = 12050. The TBB threading layer is disabled.
      return alpha_n_max_deflagration_bag(v_wall, n_xi)






|

.. code-block:: Python


    import matplotlib.pyplot as plt
    import numpy as np

    from pttools.analysis import BubbleGridVWAlpha, VwAlphaPlot
    from pttools.bubble import get_kappa_omega
    from pttools.models import BagModel


    def main():
        # Create the arrays of v_wall and alpha_n points that will be used for the grid
        v_walls = np.linspace(0.05, 0.95, 20)
        alpha_ns = np.linspace(0.05, 0.3, 20)
        # Create the equation of state
        model = BagModel(a_s=1.1, a_b=1, V_s=1)

        # Parallel computation
        grid = BubbleGridVWAlpha(model, v_walls, alpha_ns, get_kappa_omega)
        # bubbles = grid.bubbles
        kappas = grid.data[0]
        # omegas = grid.data[1]

        # Plotting
        plot = VwAlphaPlot(grid)
        plot.contourf_plusminus(kappas, label=r"$\kappa$")
        plot.chapman_jouguet()


    if __name__ == "__main__":
        main()
        plt.show()


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

   **Total running time of the script:** (1 minutes 11.101 seconds)

**Estimated memory usage:**  428 MB


.. _sphx_glr_download_auto_examples_basic_parallel.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: parallel.zip <parallel.zip>`


.. only:: html

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

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