我想在一个使用自定义numba-fied函数快速运行的IPython集群上运行计算 . 我尝试使用 dview 对象的 sync_imports 方法同步导入 . 问题是引擎不会发出指向问题的简短代码：
from IPython.parallel import Client
rc = Client()
dview = rc[:]
print 'before import'
with dview.sync_imports():
import numpy
import numba
print 'no deadlock'
当我运行此代码时，在numpy导入后发生了一种死锁，过了一段时间我得到了这个错误：
before import
importing numpy on engine(s)
importing numba on engine(s)
Traceback (most recent call last):
File "./ipcltest.py", line 12, in
import numba
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/contextlib.py", line 24, in __exit__
self.gen.next()
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/view.py", line 496, in sync_imports
r.get()
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/asyncresult.py", line 119, in get
self.wait(timeout)
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/asyncresult.py", line 142, in wait
self._ready = self._client.wait(self.msg_ids, timeout)
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/client.py", line 1063, in wait
self.spin()
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/client.py", line 1013, in spin
self._flush_results(self._mux_socket)
File "/c5/shared/Python/2.7.4-shared/lib/python2.7/site-packages/IPython/parallel/client/client.py", line 821, in _flush_results
raise Exception("Unhandled message type: %s" % msg_type)
Exception: Unhandled message type: apply_request
./ipcltest.py 1.20s user 0.40s system 0% cpu 25:29.11 total
有没有人知道导致这种行为的原因是什么？