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

.. only:: html

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

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

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

.. _sphx_glr_auto_numerical_methods_general_methods_plot_random_generator.py:


Random generator parametrization
================================

.. GENERATED FROM PYTHON SOURCE LINES 6-14

The seed of the pseudo random generator is initialized to 0 when the module is imported.

It means the same script will yield the same results across several replications.

It is also possible to initialize the random generator differently:

- by setting a seed
- by setting the complete generator state

.. GENERATED FROM PYTHON SOURCE LINES 16-22

.. code-block:: Python

    import openturns as ot
    import os
    import time

    ot.Log.Show(ot.Log.NONE)








.. GENERATED FROM PYTHON SOURCE LINES 23-25

Example 0: using a fixed seed
-----------------------------

.. GENERATED FROM PYTHON SOURCE LINES 25-27

.. code-block:: Python

    ot.RandomGenerator.SetSeed(77)








.. GENERATED FROM PYTHON SOURCE LINES 28-30

Example 1: using the python process id
--------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 30-32

.. code-block:: Python

    ot.RandomGenerator.SetSeed(os.getpid())








.. GENERATED FROM PYTHON SOURCE LINES 33-35

Example 2: using the time in milliseconds
-----------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 35-37

.. code-block:: Python

    ot.RandomGenerator.SetSeed(int(1000 * time.time() % 1e9))








.. GENERATED FROM PYTHON SOURCE LINES 38-40

Example 3: using a previously saved generator state
---------------------------------------------------

.. GENERATED FROM PYTHON SOURCE LINES 40-47

.. code-block:: Python


    # use the random generator
    ot.Normal().getSample(100)
    # save the generator state
    particularState = ot.RandomGenerator.GetState()
    ot.Normal().getRealization()






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    class=Point name=Unnamed dimension=1 values=[0.415331]
    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 48-49

load the generator state

.. GENERATED FROM PYTHON SOURCE LINES 49-51

.. code-block:: Python

    ot.RandomGenerator.SetState(particularState)
    ot.Normal().getRealization()





.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    class=Point name=Unnamed dimension=1 values=[0.415331]
    </div>
    <br />
    <br />


.. _sphx_glr_download_auto_numerical_methods_general_methods_plot_random_generator.py:

.. only:: html

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

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

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

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

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