Mailman 3 June 2020 - SfePy

Material Parameters of Individual Nodes
by derj...＠web.de 12 Apr '22

12 Apr '22

Hello! It's a great tool you built there! I'd like to use it for some kind of topology optimisation. Is there an "idiomatic" way to set the material parameters of individual nodes? Thank you very much! JonnyB

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ANN: SfePy 2020.2
by Robert Cimrman 30 Jun '20

30 Jun '20

I am pleased to announce the release of SfePy 2020.2. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by finite element methods. It is distributed under the new BSD license. Home page: https://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - discontinuous Galerkin method implementation and examples - new website look - memory usage improvements For full release notes see [1]. Cheers, Robert Cimrman [1] http://docs.sfepy.org/doc/release_notes.html#id1 --- Contributors to this release in alphabetical order: Robert Cimrman Jan Heczko Lubos Kejzlar Vladimir Lukes Tomáš Zítka

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pickle.dump
by francoisbrest＠hotmail.fr 18 Jun '20

18 Jun '20

Hello, I am new to SfePy (it looks amazing) I have a question: Is it possible to dump a state variable ? from sfepy.discrete import Problem problem = Problem.from_conf_file( "C:/ProgramData/Anaconda3/Lib/site-packages/sfepy/examples/linear_elasticity/its2D_1.py") state = problem.solve() from pickle import dump with open("state.dat","wb") as f: dump(state,f) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-18-15429a83d7eb> in <module> 1 from pickle import dump 2 with open("state.dat","wb") as f: ----> 3 dump(state,f) C:\ProgramData\Anaconda3\lib\site-packages\sfepy\discrete\common\extmods\cmesh.cp36-win_amd64.pyd in sfepy.discrete.common.extmods.cmesh.CMesh.__reduce_cython__() TypeError: no default __reduce__ due to non-trivial __cinit__ Best regards,

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