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What .NET collection provides the fastest search

...? In otherwords, is the default Contains() method just scan each item or does it use a better search algorithm. 8 Answers...
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How to convert a string to lower or upper case in Ruby

... The only problem with this answer is that #own_methods doesn't appear to exist. Is it from an Irb extension? – Mark Wilden Feb 1 '12 at 23:38 12 ...
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How do I prevent the padding property from changing width or height in CSS?

... This is a great solution for borders, but how does this help for padding? – Kato Aug 29 '12 at 5:01 6 ...
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Prevent text selection after double click

...ing (+1), except instead of return false used event.preventDefault() which doesn't kill any other handlers you might have on mousedown. – Simon East Feb 24 '12 at 3:16 2 ...
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Notepad++ htmltidy - unable to find libtidy.dll

...n a relatively new Windows 7 machine and in Notepad++ the TextFX HTMLTidy doesn't work. It says "Unable to find libTidy.dll in the system path or C:\program files (x86)\Notepad++\plugins\Config\tidy\libTidy.dll". Some links suggest moving the files to that location, but where do I get them from? ...
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How can I get a channel ID from YouTube?

...looking for your own id, but this answer gets you any channel ID and still does it 3 years later :) – Yevgeniy Jul 15 '16 at 11:19 ...
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How to change title of Activity in Android?

... this doesn't work when pressing the standby button and making the screen active again. The title does not update. Any ideas? – Jim Clermonts Nov 7 '17 at 15:30 ...
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How to convert “camelCase” to “Camel Case”?

... First function splits it, but does not PascalCase the First word. Second function fails on a none camelCased case. (e.g: 'id') – Rafael Herscovici Apr 20 '18 at 12:01 ...
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How to get Resource Name from Resource id

...bhayu - how might you do this in an espresso test? getResources() function doesn't seem to be available! – 1ak31sha Oct 5 '16 at 17:07 ...
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Selecting/excluding sets of columns in pandas [duplicate]

...te a copy of the dataframe subset = df.drop(['B', 'D'], axis=1).columns # does not create a copy the dataframe subset = df.columns.difference(['B', 'D']) df = df.drop_duplicates(subset=subset) share | ...