src/Pure/General/timing.scala
Wed, 22 Apr 2020 18:37:25 +0200 wenzelm avoid deprecated operations;
Wed, 14 Mar 2018 17:43:30 +0100 wenzelm more informative JSON results;
Thu, 25 May 2017 17:28:11 +0200 wenzelm clarified signature;
Fri, 28 Apr 2017 18:24:58 +0200 wenzelm unused;
Fri, 28 Apr 2017 17:17:23 +0200 wenzelm clarified database layout;
Thu, 27 Apr 2017 23:36:16 +0200 wenzelm more encode/decode operations;
Fri, 07 Oct 2016 18:30:56 +0200 wenzelm more permissive timing data;
Fri, 07 Oct 2016 16:50:47 +0200 wenzelm more operations;
Thu, 10 Mar 2016 12:11:23 +0100 wenzelm clarified messages, notably on Windows where CPU time of poly.exe is not measured;
Wed, 09 Mar 2016 16:42:30 +0100 wenzelm print timing like lib/scripts/timestop.bash;
Tue, 12 Aug 2014 15:46:20 +0200 wenzelm tuned;
Tue, 29 Apr 2014 13:32:13 +0200 wenzelm more systematic Isabelle output, like in classic Isabelle/ML (without markup);
Thu, 24 Apr 2014 11:01:14 +0200 wenzelm tuned signature, in accordance to ML version;
Thu, 20 Feb 2014 14:36:17 +0100 wenzelm tuned imports;
Sat, 30 Mar 2013 16:15:26 +0100 wenzelm more operations on Time, Timing;
Sat, 21 Apr 2012 14:53:04 +0200 wenzelm some builtin session timing;
Sat, 03 Mar 2012 11:09:17 +0100 wenzelm relevant timing as in ML;
Tue, 29 Nov 2011 21:50:00 +0100 wenzelm clarified Time vs. Timing;
Tue, 29 Nov 2011 21:29:53 +0100 wenzelm separate compilation of PIDE vs. Pure sources, which enables independent Scala library;
Mon, 28 Nov 2011 22:18:19 +0100 wenzelm explicit indication of modules for independent Scala library;
Mon, 28 Nov 2011 20:31:53 +0100 wenzelm tuned signature (according to ML version);
Sat, 22 Oct 2011 23:29:11 +0200 wenzelm class Time as abstract datatype;
Sun, 04 Sep 2011 15:49:59 +0200 wenzelm property "tooltip-dismiss-delay" is edited in ms, not seconds;
Thu, 02 Dec 2010 10:46:03 +0100 wenzelm builtin time bounds (again);
Wed, 01 Dec 2010 20:34:40 +0100 wenzelm more abstract/uniform handling of time, preferring seconds as Double;
Sat, 06 Nov 2010 17:55:32 +0100 wenzelm somewhat more uniform timing in ML vs. Scala;
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