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License: Apache License 2.0
Toolkit for parallel semi-structured quadtree and octree mesh generation with specialized tools for topology optimization
License: Apache License 2.0
I'm very sorry to bother you, but this problem has slowed down my working progress for a long time, I have successfully compiled and connected the python interface in tmr, but I still get an error when running examples with python, which has not been solved for a long time. The example I ran is /home/xy/git/tmr/examples/crank, and l use python 3.5.2, Could you please give me some suggestions?
here is the error information:
Traceback (most recent call last):
File "crank.py", line 3, in
from tmr import TMR
ImportError: /home/xy/git/tmr/tmr/TMR.cpython-35m-x86_64-linux-gnu.so: undefined symbol: _ZTI17Adaptor2d_Curve2d
Hi, during the TMR building I get the following error:
tmr/src/topology/TMRTopoProblem.cpp:754:54: error: no matching function for call to ‘TMRTopoProblem::setProblemSizes(int&, int&, int&, int&)’ 754 | setProblemSizes(nvars, num_constraints, nw, nwblock); | ^ In file included from tmr/src/topology/TMRTopoProblem.h:24, from tmr/src/topology/TMRTopoProblem.cpp:21: paropt/src/ParOptProblem.h:112:8: note: candidate: ‘void ParOptProblem::setProblemSizes(int, int, int, int, int)’ 112 | void setProblemSizes( int _nvars, int _ncon, int _ninequality, | ^~~~~~~~~~~~~~~ paropt/src/ParOptProblem.h:112:8: note: candidate expects 5 arguments, 4 provided
I suppose that probably I'm linking a version of ParOpt library too recent (v. 2.0.2). Unfortunately I'm not able to retrive an older version in which ParOptProblem::setProblemSizes()
takes only 4 arguments.
Are my supposition correct? What can I do to solve this error?
Thank you
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