Cuando configuro unulimit -v en una máquina poderosa en la que estoy trabajando (48 × Intel (R) Xeon (R) CPU E7-4860 v2 @ 2.60GHz, 2 TB de RAM, Red Hat Enterprise Linux Server versión 6.7), python no puede importarnumpy cuando estoy trabajando en mi virtualenv, como se muestra a continuación. Todo parece estar bien cuando no impongo limitaciones de recursos o cuando no estoy trabajando dentro de virtualenv.

Supongo que esto es un error en alguna parte. ¿Configuré algo mal? ¿Dónde está el lugar correcto para informar esto? NumPy? OpenBLAS? ¿Administrador de sistema?

$ ulimit -a
core file size          (blocks, -c) 0
data seg size           (kbytes, -d) unlimited
scheduling priority             (-e) 0
file size               (blocks, -f) unlimited
pending signals                 (-i) 8271875
max locked memory       (kbytes, -l) unlimited
max memory size         (kbytes, -m) unlimited
open files                      (-n) 48000
pipe size            (512 bytes, -p) 8
POSIX message queues     (bytes, -q) 819200
real-time priority              (-r) 0
stack size              (kbytes, -s) 8388604
cpu time               (seconds, -t) unlimited
max user processes              (-u) 1024
virtual memory          (kbytes, -v) unlimited
file locks                      (-x) unlimited
$ python3.5 -c "import numpy" # success
$ ulimit -v 10000000
$ ulimit -a
core file size          (blocks, -c) 0
data seg size           (kbytes, -d) unlimited
scheduling priority             (-e) 0
file size               (blocks, -f) unlimited
pending signals                 (-i) 8271875
max locked memory       (kbytes, -l) unlimited
max memory size         (kbytes, -m) unlimited
open files                      (-n) 48000
pipe size            (512 bytes, -p) 8
POSIX message queues     (bytes, -q) 819200
real-time priority              (-r) 0
stack size              (kbytes, -s) 8388604
cpu time               (seconds, -t) unlimited
max user processes              (-u) 1024
virtual memory          (kbytes, -v) 10000000
file locks                      (-x) unlimited
$ python3.5 -c "import numpy" # success
$ . ~/venv/stable-3.5/bin/activate
$ python3.5 -c "import numpy"
OpenBLAS blas_thread_init: pthread_create: Resource temporarily unavailable
OpenBLAS blas_thread_init: RLIMIT_NPROC 1024 current, 8271875 max
[SNIP: previous two lines shown 46 times]
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/home/users/gholl/venv/stable-3.5/lib/python3.5/site-packages/numpy/__init__.py", line 180, in <module>
    from . import add_newdocs
  File "/home/users/gholl/venv/stable-3.5/lib/python3.5/site-packages/numpy/add_newdocs.py", line 13, in <module>
    from numpy.lib import add_newdoc
  File "/home/users/gholl/venv/stable-3.5/lib/python3.5/site-packages/numpy/lib/__init__.py", line 8, in <module>
    from .type_check import *
  File "/home/users/gholl/venv/stable-3.5/lib/python3.5/site-packages/numpy/lib/type_check.py", line 11, in <module>
    import numpy.core.numeric as _nx
  File "/home/users/gholl/venv/stable-3.5/lib/python3.5/site-packages/numpy/core/__init__.py", line 14, in <module>
    from . import multiarray
SystemError: initialization of multiarray raised unreported exception
Segmentation fault (core dumped)