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=========================
What's new in PyPy 5.1
=========================

.. this is a revision shortly after release-5.0
.. startrev: b238b48f9138

.. branch: s390x-backend

The jit compiler backend implementation for the s390x architecutre.
The backend manages 64-bit values in the literal pool of the assembly instead of loading them as immediates.
It includes a simplification for the operation 'zero_array'. Start and length parameters are bytes instead of size.

.. branch: remove-py-log

Replace py.log with something simpler, which should speed up logging

.. branch: where_1_arg

Implemented numpy.where for 1 argument (thanks sergem)

.. branch: fix_indexing_by_numpy_int

Implement yet another strange numpy indexing compatibility; indexing by a scalar 
returns a scalar

.. branch: fix_transpose_for_list_v3

Allow arguments to transpose to be sequences

.. branch: jit-leaner-frontend

Improve the tracing speed in the frontend as well as heapcache by using a more compact representation
of traces

.. branch: win32-lib-name

.. branch: remove-frame-forcing-in-executioncontext

.. branch: rposix-for-3

Wrap more POSIX functions in `rpython.rlib.rposix`.

.. branch: cleanup-history-rewriting

A local clean-up in the JIT front-end.

.. branch: jit-constptr-2

Remove the forced minor collection that occurs when rewriting the
assembler at the start of the JIT backend. This is done by emitting
the ConstPtrs in a separate table, and loading from the table.  It
gives improved warm-up time and memory usage, and also removes
annoying special-purpose code for pinned pointers.

.. branch: fix-jitlog

.. branch: cleanup-includes

Remove old uneeded numpy headers, what is left is only for testing. Also 
generate pypy_numpy.h which exposes functions to directly use micronumpy
ndarray and ufuncs

.. branch: rposix-for-3

Reuse rposix definition of TIMESPEC in rposix_stat, add wrapper for fstatat().
This updates the underlying rpython functions with the ones needed for the 
py3k branch
 
.. branch: numpy_broadcast

Add broadcast to micronumpy