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update pyro links
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README.md

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@@ -60,7 +60,7 @@ There are two sets of companion codes that go along with these notes:
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simple, standalone, 1-d solvers that illustrate the basic ideas.
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- *pyro*: https://github.com/zingale/pyro2
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- *pyro*: https://github.com/python-hydro/pyro2
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pyro is a 2-d full simulation code designed with simplicity in
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mind that implements the core solvers described in these notes

preface/preface.tex

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experimentation easy.
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You can download \pyro\ at: \\
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\url{https://github.com/zingale/pyro2/}
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\url{https://github.com/python-hydro/pyro2/}
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A brief overview of \pyro\ is given in Appendix~\ref{app:pyro},
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and more information can be found at: \\
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\url{http://zingale.github.io/pyro2/}
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\url{http://python-hydro.github.io/pyro2/}
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\item \hydrooned\ is a simple one-dimensional compressible
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hydrodynamics code that implements the piecewise parabolic method

pyro/pyro.tex

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@@ -15,9 +15,9 @@ \section{Introduction}
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\section{Getting \pyro}
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\pyro\ can be downloaded from its github repository, \url{https://github.com/zingale/pyro2} as:
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\pyro\ can be downloaded from its github repository, \url{https://github.com/python-hydro/pyro2} as:
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\begin{verbatim}
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git clone https://github.com/zingale/pyro2
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git clone https://github.com/python-hydro/pyro2
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\end{verbatim}
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\pyro\ uses the {\tt h5py}, {\sf matplotlib}, and {\sf numpy} libraries.
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The structure of the code and descriptions of the various runtime
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parameters is found on the pyro webpage,
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\url{http://zingale.github.io/pyro2/}, and described
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\url{http://python-hydro.github.io/pyro2/}, and described
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in \cite{pyro}. Here we provide a summary.
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The grid structure is managed by the {\tt patch.Grid2d} class. Data
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additional methods that are useful for interacting with finite-volume
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data. In particular, for an object {\tt a}, you can do {\tt a.ip(1)}
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to mimic $a_{i+1,j}$. The Jupyter notebook
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\href{https://github.com/zingale/pyro2/blob/master/mesh/mesh-examples.ipynb}{mesh-examples.ipynb}
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\href{https://github.com/python-hydro/pyro2/blob/master/mesh/mesh-examples.ipynb}{mesh-examples.ipynb}
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walks through these classes to demonstrate how they work.
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Each \pyro\ solver is its own python module. All but the multigrid

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