ea8b47ad51
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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SHA256 (pypy/release-2.6.0.tar.bz2) = 70c5feff73a6f9002b6a156488fe5e0b3981297da5766464bfd2327290bcd577
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SIZE (pypy/release-2.6.0.tar.bz2) = 16682327
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