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The 05 Array notebook examples fails for me at In[8]: result.compute()
Stack trace:
distributed.batched - INFO - Batched Stream Closed
distributed.batched - INFO - Batched Stream Closed
distributed.batched - INFO - Batched Stream Closed
distributed.batched - INFO - Batched Stream Closed
distributed.batched - INFO - Batched Stream Closed
distributed.utils - ERROR - ('array-original-2a9a222b2f08d90710bd5f256242af17', '172.20.10.4:51739')
Traceback (most recent call last):
File "/opt/anaconda/lib/python2.7/site-packages/distributed/utils.py", line 149, in f
result[0] = yield gen.maybe_future(func(*args, **kwargs))
File "/opt/anaconda/lib/python2.7/site-packages/tornado/gen.py", line 1015, in run
value = future.result()
File "/opt/anaconda/lib/python2.7/site-packages/tornado/concurrent.py", line 237, in result
raise_exc_info(self._exc_info)
File "/opt/anaconda/lib/python2.7/site-packages/tornado/gen.py", line 1021, in run
yielded = self.gen.throw(*exc_info)
File "/opt/anaconda/lib/python2.7/site-packages/distributed/client.py", line 896, in _gather
st.traceback)
File "<string>", line 2, in reraise
KilledWorker: ('array-original-2a9a222b2f08d90710bd5f256242af17', '172.20.10.4:51739')
---------------------------------------------------------------------------
KilledWorker Traceback (most recent call last)
<ipython-input-8-f80778adb0dc> in <module>()
----> 1 result.compute()
/opt/anaconda/lib/python2.7/site-packages/dask/base.pyc in compute(self, **kwargs)
77 Extra keywords to forward to the scheduler ``get`` function.
78 """
---> 79 return compute(self, **kwargs)[0]
80
81 @classmethod
/opt/anaconda/lib/python2.7/site-packages/dask/base.pyc in compute(*args, **kwargs)
177 dsk = merge(var.dask for var in variables)
178 keys = [var._keys() for var in variables]
--> 179 results = get(dsk, keys, **kwargs)
180
181 results_iter = iter(results)
/opt/anaconda/lib/python2.7/site-packages/distributed/client.pyc in get(self, dsk, keys, restrictions, loose_restrictions, resources, **kwargs)
1467
1468 try:
-> 1469 results = self.gather(futures)
1470 except (KeyboardInterrupt, Exception) as e:
1471 for f in futures.values():
/opt/anaconda/lib/python2.7/site-packages/distributed/client.pyc in gather(self, futures, errors, maxsize)
976 return (self.gather(f, errors=errors) for f in futures)
977 else:
--> 978 return sync(self.loop, self._gather, futures, errors=errors)
979
980 @gen.coroutine
/opt/anaconda/lib/python2.7/site-packages/distributed/utils.pyc in sync(loop, func, *args, **kwargs)
161 e.wait(1000000)
162 if error[0]:
--> 163 six.reraise(type(error[0]), error[0], traceback[0])
164 else:
165 return result[0]
/opt/anaconda/lib/python2.7/site-packages/distributed/utils.pyc in f()
147 def f():
148 try:
--> 149 result[0] = yield gen.maybe_future(func(*args, **kwargs))
150 except Exception as exc:
151 logger.exception(exc)
/opt/anaconda/lib/python2.7/site-packages/tornado/gen.pyc in run(self)
1013
1014 try:
-> 1015 value = future.result()
1016 except Exception:
1017 self.had_exception = True
/opt/anaconda/lib/python2.7/site-packages/tornado/concurrent.pyc in result(self, timeout)
235 return self._result
236 if self._exc_info is not None:
--> 237 raise_exc_info(self._exc_info)
238 self._check_done()
239 return self._result
/opt/anaconda/lib/python2.7/site-packages/tornado/gen.pyc in run(self)
1019
1020 if exc_info is not None:
-> 1021 yielded = self.gen.throw(*exc_info)
1022 exc_info = None
1023 else:
/opt/anaconda/lib/python2.7/site-packages/distributed/client.pyc in _gather(self, futures, errors)
894 six.reraise(type(st.exception),
895 st.exception,
--> 896 st.traceback)
897 except (AttributeError, KeyError):
898 six.reraise(CancelledError,
/opt/anaconda/lib/python2.7/site-packages/six.pyc in reraise(tp, value, tb)
KilledWorker: ('array-original-2a9a222b2f08d90710bd5f256242af17', '172.20.10.4:51739')
Running on OS X
conda environment listing attached.
I may have an incompatible version of a package installed but that isn't obvious to figure out.
I am afraid anyone else would be left to assume dask doesn't work well.
The 05 Array notebook examples fails for me at
In[8]: result.compute()
Stack trace:
Running on OS X
conda environment listing attached.
I may have an incompatible version of a package installed but that isn't obvious to figure out.
I am afraid anyone else would be left to assume dask doesn't work well.
env.yml.txt
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