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fix at-everywhere using
in Distributed stdlib
#30804
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JeffBezanson
added
parallelism
Parallel or distributed computation
bugfix
This change fixes an existing bug
stdlib
Julia's standard library
backport pending 1.0
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Jan 22, 2019
Why didn't the tests catch this? |
We don't have a test that this feature works as intended. I suppose it's tricky to test --- we need to somehow check that no precompilation was attempted on processors other than 1. |
StefanKarpinski
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triage
This should be discussed on a triage call
backport 1.1
and removed
backport 1.0
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Jan 31, 2019
JeffBezanson
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triage
This should be discussed on a triage call
triage backport pending 1.0
labels
Jan 31, 2019
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Labels
bugfix
This change fixes an existing bug
parallelism
Parallel or distributed computation
stdlib
Julia's standard library
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Distributed
does a transformation of@everywhere using X
to try to do the importing locally first, to avoid precompilation races. However this has been broken since 0.7 due to a changed AST representation. This should fix it.