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Can I split an already split hunk with git?

...u003cpath fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M25.6622 17.6335C27.8049 17.6335 29.3739 16.9402 30.2537 15.6379C30.8468 14.7755 30.9615 13.5579 30.9615 11.9512V6.59049C30.9615 5.28821 30.4833 4.66231 29.4502 4.66231C28.9913 4.66231 28.4555 4.94978 28.1109 5.50789C27.499 4.86533 26.7335 4....
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How to get current timestamp in milliseconds since 1970 just the way Java gets

... Oz.Oz. 4,21922 gold badges2020 silver badges2727 bronze badges 97 ...
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Regular expressions in C: examples?

... it shouldn't be done: redhat.com/archives/libvir-list/2013-September/msg00276.html – Daniel Jour Jun 17 '16 at 19:50  |  show 11 more comment...
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When is null or undefined used in JavaScript? [duplicate]

... | edited Jan 27 '16 at 10:38 alex 420k184184 gold badges818818 silver badges948948 bronze badges ...
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CRON job to run on the last day of the month

...of leap year – Hari Swaminathan Feb 27 '14 at 7:30 1 @Hari, the preferred solution would be to ru...
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How are msys, msys2, and msysgit related to each other?

...uard us for the future, even if Cygwin ends up releasing versions like 314.272.65536. Git 2.22 (Q2 2019) will future-proof a test against an update to MSYS2 runtime v3.x series. See commit c871fbe (07 May 2019) by Johannes Schindelin (dscho). (Merged by Junio C Hamano -- gitster -- in commit b2...
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reference assignment is atomic so why is Interlocked.Exchange(ref Object, Object) needed?

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Scala: What is a TypeTag and how do I use it?

... = new Foo;val b1 = new f1.Bar f1: Foo = Foo@681e731c b1: f1.Bar = Foo$Bar@271768ab scala> val f2 = new Foo;val b2 = new f2.Bar f2: Foo = Foo@3e50039c b2: f2.Bar = Foo$Bar@771d16b9 scala> val ev1 = m(f1)(b1) warning: there were 2 deprecation warnings; re-run with -deprecation for details ev1...
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How to run multiple Python versions on Windows

... | edited Dec 20 '12 at 9:27 answered Dec 19 '12 at 13:37 C...
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Selecting multiple columns in a pandas dataframe

...ead() Out: A B C D E F R0 99 78 61 16 73 8 R1 62 27 30 80 7 76 R2 15 53 80 27 44 77 R3 75 65 47 30 84 86 R4 18 9 41 62 1 82 To get the columns from C to E (note that unlike integer slicing, 'E' is included in the columns): df.loc[:, 'C':'E'] Out...