K 10
svn:author
V 3
dbn
K 8
svn:date
V 27
2015-06-01T20:05:06.240996Z
K 7
svn:log
V 1325
lang/pypy: update to 2.6.0

Changes:
 * Use pypy.tool.release.package to compile cffi modules.

ChangeLog:
 * Python compatibility:
   * Improve support for TLS 1.1 and 1.2
   * Support for the PYTHONOPTIMIZE environment variable (impacting builtin's
     __debug__ property)
   * Issues reported with our previous release were resolved after reports
     from users on our issue tracker at https://bitbucket.org/pypy/pypy/issues
     or on IRC at #pypy.
 * New features:
   * Add preliminary support for a new lightweight statistical profiler
     vmprof, which has been designed to accomodate profiling JITted code
 * Numpy:
   * Support for object dtype via a garbage collector hook
   * Support for .can_cast and .min_scalar_type as well as beginning a
     refactoring of the internal casting rules
   * Better support for subtypes, via the __array_interface__,
     __array_priority__, and __array_wrap__ methods (still a work-in-progress)
   * Better support for ndarray.flags
 * Performance improvements:
   * Slight improvement in frame sizes, improving some benchmarks
   * Internal refactoring and cleanups leading to improved JIT performance
   * Improved IO performance of zlib and bz2 modules
   * We continue to improve the JIT's optimizations. Our benchmark suite is
     now over 7 times faster than cpython

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