File python3-numexpr.changes of Package python3-numexpr

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Thu May  8 10:51:51 UTC 2014 - toddrme2178@gmail.com

- Update to 2.4
  * A new `contains()` function has been added for detecting substrings
    in strings.  Only plain strings (bytes) are supported for now.  See
    PR #135 and ticket #142.  Thanks to Marcin Krol.
  * New version of setup.py that allows better management of NumPy
    dependency.  See PR #133.  Thanks to Aleks Bunin.
- update to 2.3.1
  * Added support for shift-left (<<) and shift-right (>>) binary operators.
    See PR #131. Thanks to fish2000!
  * Removed the rpath flag for the GCC linker, because it is probably
    not necessary and it chokes to clang.
- update to 2.3
  * Site has been migrated to https://github.com/pydata/numexpr.  All
    new tickets and PR should be directed there.
  * [ENH] A `conj()` function for computing the conjugate of complex
    arrays has been added.  Thanks to David Menéndez.  See PR #125.
  * [FIX] Fixed a DeprecationWarning derived of using oa_ndim == 0 and
    op_axes == NULL when using NpyIter_AdvancedNew() and NumPy 1.8.
    Thanks to Mark Wiebe for advise on how to fix this properly.

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Tue Oct 22 13:32:08 UTC 2013 - toddrme2178@gmail.com

- update to 2.2.2
  * The `copy_args` argument of `NumExpr` function has been brought
    back.  This has been mainly necessary for compatibility with
    PyTables < 3.0, which I decided to continue to support.  Fixed #115.
  * The `__nonzero__` method in `ExpressionNode` class has been
    commented out.  This is also for compatibility with PyTables < 3.0.
    See #24 for details.
  * Fixed the type of some parameters in the C extension so that s390
    architecture compiles.  Fixes #116.  Thank to Antonio Valentino for
    reporting and the patch.
- update to 2.2.1
  * Fixes a secondary effect of "from numpy.testing import `*`", where
    division is imported now too, so only then necessary functions from
    there are imported now.  Thanks to Christoph Gohlke for the patch.
- update to 2.2
  * [LICENSE] Fixed a problem with the license of the
    numexpr/win32/pthread.{c,h} files emulating pthreads on Windows
    platforms.  After persmission from the original authors is granted,
    these files adopt the MIT license and can be redistributed without
    problems.  See issue #109 for details
    (https://code.google.com/p/numexpr/issues/detail?id=110).
  * [ENH] Improved the algorithm to decide the initial number of threads
    to be used.  This was necessary because by default, numexpr was
    using a number of threads equal to the detected number of cores, and
    this can be just too much for moder systems where this number can be
    too high (and counterporductive for performance in many cases).
    Now, the 'NUMEXPR_NUM_THREADS' environment variable is honored, and
    in case this is not present, a maximum number of *8* threads are
    setup initially.  The new algorithm is fully described in the Users
    Guide now in the note of 'General routines' section:
    https://code.google.com/p/numexpr/wiki/UsersGuide#General_routines.
    Closes #110.
  * [ENH] numexpr.test() returns `TestResult` instead of None now.
    Closes #111.
  * [FIX] Modulus with zero with integers no longer crashes the
    interpreter.  It nows puts a zero in the result.  Fixes #107.
  * [API CLEAN] Removed `copy_args` argument of `evaluate`.  This should
    only be used by old versions of PyTables (< 3.0).
  * [DOC] Documented the `optimization` and `truediv` flags of
    `evaluate` in Users Guide
    (https://code.google.com/p/numexpr/wiki/UsersGuide).

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Thu Aug 15 08:09:29 UTC 2013 - speilicke@suse.com

- Only Buildrequire python3-2to3 on 12.2
- Buildrequire python3 on 12.2, we need sha512 module

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Mon May  6 06:23:38 UTC 2013 - highwaystar.ru@gmail.com

- initial python3 package
- update to 2.1
 * New compatibility with Python 3:
 * switch from PyString to PyBytes API (requires Python >= 2.6).
 * fixed incompatibilities regarding the int/long API
 * use the Py_TYPE macro
 * use the PyVarObject_HEAD_INIT macro instead of PyObject_HEAD_INIT
 * Dropped compatibility with Python < 2.6.
 * Fixed several issues with different platforms not supporting 
 multithreading or subprocess properly (see tickets #75 and #77).
 * Now, when trying to use pure Python boolean operators, 'and', 
 'or' and 'not, an error is issued and suggesting that '&', '|' 
 and '~' should be used instead (fixes #24).