Hi, I try to install csa package with libneurosim to use with nest simulator. The installation of libneurosim with python support take place without any issues. When I try to install csa with these commands:

./autogen.sh ./configure ./configure --prefix=$HOME/opt/csa --with-libneurosim=$HOME/opt/libneurosim make

The installation fails at the make step with these output errors:

_/home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:189: undefined reference to PyGILState_Ensure' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:190: undefined reference to PyList_New' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:197: undefined reference to PyObject_CallFunctionObjArgs' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:198: undefined reference to PyList_SetItem' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:202: undefined reference to PyLong_FromLong' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:202: undefined reference to PyObject_CallFunctionObjArgs' /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:209: undefined reference to PyGILState_Release' .libs/libpycsa_la-pycsa.o: In function error(std::_cxx11::basic_string<char, std::char_traits, std::allocator >)': /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:53: undefined reference to PyGILState_Release' .libs/libpycsa_la-pycsa.o: In function PyCSA::PyCSAGenerator::setMask(std::vector<ConnectionGenerator::Mask, std::allocatorConnectionGenerator::Mask >&, int)': /home/yannick/Downloads/csa-master/libpycsa/pycsa.cpp:214: undefined reference to `PyGILState_Release' collect2: error: ld returned 1 exit status Makefile:444: recipe for target 'libpycsa.la' failed make[2]: *** [libpycsa.la] Error 1 make[2]: Leaving directory '/home/yannick/Downloads/csa-master/libpycsa' Makefile:420: recipe for target 'all-recursive' failed make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory '/home/yannick/Downloads/csa-master' Makefile:350: recipe for target 'all' failed make: *** [all] Error 2

I work on ubuntu 18.04 with python 3.7.3

Thank you