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6 changes: 3 additions & 3 deletions README.rst
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Expand Up @@ -10,18 +10,18 @@ Project Overview
There are 3 related packages here, pre and solver are all under the ansys/pydyna/ directory,
while pyDPF is used for post-processing.

pre contains highly abstracted APIs for setting up a LS-DYNA input deck, so far,
**pre** contains highly abstracted APIs for setting up a LS-DYNA input deck, so far,
it includes DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM, DynaAirbag and so on.

solver contains code for interfacing with the LS-DYNA solver directly.
**solver** contains code for interfacing with the LS-DYNA solver directly.
As LS-DYNA is primarily a batch solver with very limited interactive
capabilities, the code here is similarly limited. The target
use case is that LS-DYNA will be running in a container environment
such as Docker or Kubernetes. The code here then allows for pushing
input files to the container, starting LS-DYNA and monitoring its
progress, and retrieving results files.

The Data Processing Framework (DPF) is designed to provide numerical
The **Data Processing Framework (DPF)** is designed to provide numerical
simulation users/engineers with a toolbox for accessing and
transforming simulation data. DPF can access data from solver result
files as well as several neutral formats (csv, hdf5, vtk,
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3 changes: 2 additions & 1 deletion doc/source/index.rst
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Expand Up @@ -2,7 +2,8 @@ PyDyna documentation |version|
===============================

.. include:: ../../README.rst

.. include:: ../../docker/pre/README.rst
.. include:: ../../docker/solver/README.rst

.. jinja:: main_toctree

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4 changes: 2 additions & 2 deletions docker/pre/README.rst
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@@ -1,5 +1,5 @@
Build pydyna-pre service docker container
:::::::::::::::::::::::::::::::::::::::::
Create your own pydyna-pre service docker container
:::::::::::::::::::::::::::::::::::::::::::::::::::

The pydyna-pre service Docker containers can be easily built by following
these steps.
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4 changes: 2 additions & 2 deletions docker/solver/README.rst
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@@ -1,5 +1,5 @@
Build pydyna-solver service docker container
::::::::::::::::::::::::::::::::::::::::::::
Create your own pydyna-solver service docker container
::::::::::::::::::::::::::::::::::::::::::::::::::::::

The pydyna-solver service Docker containers can be easily built by following
these steps.
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