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.travis.yml

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MANIFEST.in

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# added by check_manifest.py
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include *.md
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include *.txt
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include *.rst
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include .coveragerc
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include .flake8
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include Doxyfile
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include LICENSE
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include data/README
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recursive-include docs *.bat
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recursive-include docs *.py
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recursive-include docs *.rst
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recursive-include pySDC *.npz
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recursive-include pySDC *.pkl
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recursive-include pySDC *.rst
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recursive-include pySDC *.txt
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recursive-include pySDC *.txt

README.rst

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- Projects: many documented projects with defined and tested outcomes
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- Many different examples, collocation types, data types already implemented
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- Works with `PETSc <http://www.mcs.anl.gov/petsc/>`_ through `petsc4py <https://bitbucket.org/petsc/petsc4py>`_ , `FEniCS <https://fenicsproject.org/>`_ and `mpi4py-fft <https://mpi4py-fft.readthedocs.io/en/latest/>`_
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- Continuous integration via `Travis-CI <https://travis-ci.org/Parallel-in-Time/pySDC>`_
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- Continuous integration via `Github Actions <https://github.com/Parallel-in-Time/pySDC/actions>`_
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- Fully compatible with 3.6 (or higher)
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pySDC/projects/AsympConv/README.rst

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This project investigates the impact of the convergence results described in the paper "Asymptotic convergence of PFASST for linear problems".
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We use 1D heat equation and advection equation to show how PFASST converges in the stiff as well as in the non-stiff limit.
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Note that due to the long runtime, not all results are generated via Travis.
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Note that due to the long runtime, not all results are generated via CI.
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Organisation of the project
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pySDC/projects/FastWaveSlowWave/README.rst

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We study the performance of the method compared to standard integrators like RK-IMEX or DIRK schemes and analyze the convergence properties for scalar test problems.
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This project contains the code for the publication `Spectral deferred corrections with fast-wave-slow-wave splitting <http://dx.doi.org/10.1137/16M1060078>`_ of pySDC v2,
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while the original code can be found under `The fast-wave-slow-wave release, v2 <https://doi.org/10.5281/zenodo.53849>`_.
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Note that due to the long runtime, not all results are generated via Travis.
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Note that due to the long runtime, not all results are generated via CI.
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For the Boussinesq example and the convergence test of the acoustic-advection equation, only the visualization (and therefore the existence of the data files) is tested.
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We omit the codes in this documentation, since they are rather long and slightly complex.
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pySDC/projects/node_failure/README.rst

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We test our ideas for two simple toy problems and two more complex show cases.
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This project contains the code for the publication `Toward fault-tolerant parallel-in-time integration with PFASST <https://arxiv.org/abs/1510.08334>`_ of pySDC v2,
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while the original code can be found under `pySDC: Fault-tolerant PFASST <https://doi.org/10.5281/zenodo.32765>`_.
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Note that due to the long runtime, the results are not generated via Travis. Only the visualization (and therefore the existence of the data files) is tested.
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Note that due to the long runtime, the results are not generated via CI. Only the visualization (and therefore the existence of the data files) is tested.
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Propagation of a single node failure
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