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All releases of jug

  •  15 Jun 2014 16:18
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    Release Notes: This version fixes a bug in the file backend in Python 3 (Python 2.x is unaffected).

    •  19 Feb 2014 09:27
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      Release Notes: This is a bugfix release. It fixes save/load of numpy subclasses, redis URL parsing, and correct handling of the case where sqlite3 is not available. Also included is support for newer versions of Ipython.

      •  10 Aug 2013 13:43
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        Release Notes: This release adds provenance tracking. jug is now able to output metadata on the computation results (including all dependencies).

        •  29 May 2013 07:55
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          Release Notes: This version adds Python 3 support and a debug mode (in which execution is slower, as jug executes more checks for possible bugs in the user's script).

          •  15 Apr 2013 11:24
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            Release Notes: This release includes use of Ipython debugger (by Alex Ford), faster Tasklets and unloading, better error messages, and the new currymap function.

            •  02 Dec 2012 17:18
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              Release Notes: This version fixes a few bugs with caching of status and CompoundTasks. Jug now works correctly on new versions of Python (with the random hash fix). This version adds --cache --clear suboption to status and regular expression support to invalidate.

              •  05 Nov 2012 11:30
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                Release Notes: This version adds --keep-going as an option to execute subcommands. It fixes many small bugs.

                •  11 Jun 2012 15:06
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                  Release Notes: Many small improvements in this release. A new bvalue function combines barrier and value. Several bugs have been fixed.

                  •  06 Dec 2011 01:31
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                    Release Notes: The most important change in this release is re-running of the jugfile on barrier(). A few convenience functions were added and bugs were fixed.

                    •  05 Jul 2011 22:51
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                      Release Notes: Several bugs were fixed, including for compatibility with new versions of external packages (ipython and redis). Input/Output of very large files is now improved so that it potentially uses much less intermediate memory. Unit tests were added to the distribution. A non-compatible change is that numpy arrays are now hashed differently. However, the new method is much, much better (faster and uses less memory); so it was worth breaking compatibility.

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