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git - skipping specific commits when merging
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answered Apr 8 '09 at 12:26
araqnidaraqnid
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How to write an async method with out parameter?
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edited Feb 21 '19 at 10:05
answered Sep 10 '13 at 10:51
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How to prevent column break within an element?
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.x li {
break-inside: avoid-column;
}
Unfortunately, as of October 2019, this is not supported in Firefox but it is supported by every other major browser. With Chrome, I was able to use the above code, but I couldn't make anything work for Firefox (See Bug 549114).
The workaround you can do...
Difference between CLOCK_REALTIME and CLOCK_MONOTONIC?
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answered Aug 20 '10 at 1:45
cafcaf
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MySQL/Amazon RDS error: “you do not have SUPER privileges…”
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Per http://getasysadmin.com/2011/06/amazon-rds-super-privileges/, you need to set log_bin_trust_function_creators to 1 in AWS console, to load your dump file without errors.
If you want to ignore these errors, and load the rest of the dump file, you can...
How to make Git “forget” about a file that was tracked but is now in .gitignore?
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6025
.gitignore will prevent untracked files from being added (without an add -f) to the set of fil...
Why is an array not assignable to Iterable?
...17
Gray
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answered Jul 21 '09 at 23:18
Tom Hawtin -...
Tablix: Repeat header rows on each page not working - Report Builder 3.0
...es not work. I read somewhere that this is a known bug in Report Builder 3.0. Is this true? If not, is there something else that needs to be done?
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Eclipse JPA Project Change Event Handler (waiting)
...or to be extremly slow.
Since this hasn't been fully resolved in Kepler (20130614-0229) yet and because I don't need JPT/DALI in my eclipse I ended up manually removing the org.eclipse.jpt features and plugins.
What I did was:
1.) exit eclipse
2.) go to my eclipse install directory
cd eclipse
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Use a list of values to select rows from a pandas dataframe [duplicate]
...pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]: df
Out[2]:
A B
0 5 1
1 6 2
2 3 3
3 4 5
In [3]: df[df['A'].isin([3, 6])]
Out[3]:
A B
1 6 2
2 3 3
And to get the opposite use ~:
In [4]: df[~df['A'].isin([3, 6])]
Out[4]:
A B
0 5 1
3 4 5
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