Use `t` in Shape function twice. about nestml HOT 3 CLOSED

@vogdb I think you are using the Java implementation of the toolchain? I have tried to use your model with PyNestML and I get weird errors which seem to be related to Sympy (?). @PTraeder and @DimitriPlotnikov here the log:
kperun@yogapad:~/Dropbox/PyNestMlAtGithub$ python2 PyNestML.py -path /home/kperun/Dropbox/mod.nestml -dev [4,int_fire4, ERROR, [13:28;13:28]]: Variable 'tau_syn_in' used before declaration! Traceback (most recent call last): File "PyNestML.py", line 29, in <module> main(sys.argv[1:]) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/frontend/PyNestMLFrontend.py", line 69, in main nest_generator.analyseAndGenerateNeurons(neurons) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/codegeneration/NestCodeGenerator.py", line 127, in analyseAndGenerateNeurons self.analyseAndGenerateNeuron(neuron) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/codegeneration/NestCodeGenerator.py", line 111, in analyseAndGenerateNeuron workingVersion = self.solveOdesAndShapes(workingVersion) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/codegeneration/NestCodeGenerator.py", line 265, in solveOdesAndShapes workingCopy = EquationsBlockProcessor.solveOdeWithShapes(_neuron) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/solver/EquationsBlockProcessor.py", line 54, in solveOdeWithShapes output = SymPySolver.solveOdeWithShapes(deep_copy.get_equations_blocks()) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/solver/SymPySolver.py", line 42, in solveOdeWithShapes output = OdeAnalyzer.compute_solution(input_json.toJSON()) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/solver/OdeAnalyzer.py", line 194, in compute_solution shape_functions) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/solver/OdeAnalyzer.py", line 207, in compute_exact_solution function_definitions) File "/home/kperun/Dropbox/PyNestMlAtGithub/pynestml/solver/prop_matrix.py", line 90, in ode_to_prop_matrices prop_matrices.append(simplify(exp(A * h))) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/cache.py", line 93, in wrapper retval = cfunc(*args, **kwargs) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/compatibility.py", line 794, in wrapper return user_function(*args, **kwds) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/function.py", line 427, in __new__ result = super(Function, cls).__new__(cls, *args, **options) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/cache.py", line 93, in wrapper retval = cfunc(*args, **kwargs) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/compatibility.py", line 794, in wrapper return user_function(*args, **kwds) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/core/function.py", line 250, in __new__ evaluated = cls.eval(*args) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/functions/elementary/exponential.py", line 302, in eval return arg.exp() File "/home/kperun/.local/lib/python2.7/site-packages/sympy/matrices/matrices.py", line 2478, in exp ret = P * eJ * P.inv() File "/home/kperun/.local/lib/python2.7/site-packages/sympy/matrices/matrices.py", line 2781, in inv return self._eval_inverse(**kwargs) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/matrices/dense.py", line 260, in _eval_inverse rv = M.inverse_GE(iszerofunc=iszerofunc) File "/home/kperun/.local/lib/python2.7/site-packages/sympy/matrices/matrices.py", line 2696, in inverse_GE raise ValueError("Matrix det == 0; not invertible.") ValueError: Matrix det == 0; not invertible.
Do you have any ideas what could lead to this? Unfortunately I am not even remotely familiar with the ODE toolbox.
Moreover, why does this problem occur in PyNestML and not in Java?

from nestml.

@vogdb I think you are using the Java implementation of the toolchain?

Yep.

All other questions seem to be related to the contributors. I don't know answers to them :(

from nestml.

I cannot reproduce this issue and will assume it has been fixed in the mean time. If you still run into it, please let me know!

from nestml.