only import test fails on c2pap

[fredRos]

only import test fails on c2pap

[fredRos]

It seems to be some problem in intel mkl that gets into the way of fftw. Nothing I need to fix in galario.

Program received signal SIGSEGV, Segmentation fault.
__kmp_register_root (initial_thread=0) at ../../src/kmp_runtime.c:3913
3913    ../../src/kmp_runtime.c: No such file or directory.
(gdb) bt
#0  __kmp_register_root (initial_thread=0) at ../../src/kmp_runtime.c:3913
#1  0x00007ffff35d6d7d in __kmp_do_serial_initialize () at ../../src/kmp_runtime.c:6693
#2  __kmp_do_middle_initialize () at ../../src/kmp_runtime.c:6779
#3  __kmp_middle_initialize () at ../../src/kmp_runtime.c:6897
#4  0x00007ffff35c0f7e in __kmp_api_omp_get_num_procs () at ../../src/kmp_ftn_entry.h:501
#5  0x00007ffff077d81d in mkl_serv_domain_get_max_threads ()
   from /home/hpc/pr85tu/ru72xaf2/.conda/envs/galario3/lib/python3.6/site-packages/numpy/core/../../../../libmkl_intel_thread.so
#6  0x00007ffff26343ab in fftw_init_threads ()
   from /home/hpc/pr85tu/ru72xaf2/.conda/envs/galario3/lib/python3.6/site-packages/numpy/core/../../../../libmkl_intel_lp64.so
#7  0x00007fffeb4146a7 in galario_init () at /home/hpc/pr85tu/ru72xaf2/workspace/galario/src/galario.cpp:108

But I want to note here that the mkl can be removed from conda to avoid this mixup. From https://docs.continuum.io/mkl-optimizations/

Uninstalling MKL

MKL takes roughly 100MB and some use cases do not need it, so users can opt out of MKL and instead use OpenBLAS for Linux or the native Accelerate Framework for MacOSX. To opt out, run conda install nomkl and then use conda install to install packages that would normally include MKL or depend on packages that include MKL, such as scipy, numpy, and pandas. Conda will install the non-MKL versions of these packages together with their dependencies. If you are using OS X or Linux, have already installed these packages or already installed all of Anaconda, and wish to switch away from MKL, use the command conda install nomkl numpy scipy scikit-learn numexpr followed by conda remove mkl mkl-service.