./devel/py-joblib, Set of tools to provide lightweight pipelining

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Branch: CURRENT, Version: 0.12.2, Package name: py27-joblib-0.12.2, Maintainer: jihbed.research

Joblib is a set of tools to provide lightweight pipelining in Python.
In particular, joblib offers transparent disk-caching of the output
values and lazy re-evaluation (memoize pattern), easy simple parallel
computing, and logging and tracing of the execution. Joblib is
optimized to be fast and robust in particular on large data and has
specific optimizations for numpy arrays.


Required to run:
[lang/python27]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 9634a6a2f88d6a64bae5a0e488eb37177391506c
RMD160: 609a47ce9d00d4dd274140a2833f0bda096b36c7
Filesize: 282.47 KB

Version history: (Expand)


CVS history: (Expand)


   2018-08-14 19:39:32 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-joblib: updated to 0.12.2

Release 0.12.2:
Integrate loky 2.2.0 to fix regression with unpicklable arguments and functions \ 
reported by users.
Loky 2.2.0 also provides a protection against memory leaks long running \ 
applications when psutil is installed.
Joblib now includes the code for the dask backend which has been updated to \ 
properly handle nested parallelism and data scattering at the same time.
Restored some private API attribute and arguments (MemorizedResult.argument_hash \ 
and BatchedCalls.__init__'s pickle_cache) for backward compat.
Fix a deprecation warning message (for Memory's cachedir).

Release 0.12.1:
Make sure that any exception triggered when serializing jobs in the queue will \ 
be wrapped as a PicklingError as in past versions of joblib.
Fix kwonlydefaults key error in filter_args
   2018-07-06 05:13:36 by Min Sik Kim | Files touched by this commit (4) | Package updated
Log message:
devel/py-joblib: Import version 0.12.0

Joblib is a set of tools to provide lightweight pipelining in Python.
In particular, joblib offers transparent disk-caching of the output
values and lazy re-evaluation (memoize pattern), easy simple parallel
computing, and logging and tracing of the execution.  Joblib is
optimized to be fast and robust in particular on large data and has
specific optimizations for numpy arrays.

Packaged by Kamel Ibn Aziz Derouiche for pkgsrc-wip and updated by me.