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--clear-output flag is broken #822
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I can confirm that |
I have tracked down (at some level) the why, but this is bound up in deep traitlets behavior that I cannot figure out at all, so I'm not sure what the fix is. In traitlets.config.Application.flatten_flags, which is called on
into
This is the crucial traitlets code:
I have no clue what this traitlets code is even trying to do, though it really doesn't work as expected for this case. The best workaround I can think of for this specific case would be to not make This does seem to be acknowledged as a problem in traitlets in ipython/traitlets@c577973 ("The whole flatten_flags method seems like a very awkward workaround to make one priority ordering more important than another. It only 'flattens' one level of inheritance, and it ignores that parent classes may be instantiated."). |
The `--clear-output` flag has been broken for a while, replace it with a the still-working direct configuration (see jupyter/nbconvert#822). Also, update all notebooks with cleared versions.
* cleanup 00 * 01 cleanup * 02 cleanup * 03 cleanup * 04 cleanup * 05 cleanup * 06 cleanup * cleanup * cleanup script for notebooks * working cleanup script jupyter/nbconvert#822 * clean all output * f-string suggestion
Any updates on this ? It is still broken on version |
I will add it to the 6.0 release milestone to double check it's fixed. One of the larger dependency changes needed got done last week so 6.0 can move forward again. |
I think I'm running Any chance that $ jupyter nbconvert --version
nbconvert : 6.0.7 EDIT: I tried again, and magically it worked. Let's assume I made a typo or something the first time. Or perhaps it only works if |
I appreciate the
--clear-output
convenience flag introduced in #619. However, unless I'm missing something it simply does not work.These commands should both remove output, but the second does not:
The first form includes the following output (using the
--debug
option):However, the
ClearOutputProcessor
line is missing when using--clear-output
.See this StackOverflow answer for another user who observed the same issue.
Using Anaconda Python 3.6.5 + Jupyter 4.4.0
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