What’s new in PyPy 2.6.0

issue2005: ignore errors on closing random file handles while importing a module (cpython compatibility)

issue2013: added constants to _ssl for TLS 1.1 and 1.2

issue2014: Add PyLong_FromUnicode to cpyext.

issue2017: On non-Linux-x86 platforms, reduced the memory impact of creating a lot of greenlets/tasklets. Particularly useful on Win32 and on ARM, where you used to get a MemoryError after only 2500-5000 greenlets (the 32-bit address space is exhausted).

Update gdb_pypy for python3 (gdb comatability)

Merged rstrategies into rpython which provides a library for Storage Strategies

Support unicode strings in numpy.dtype creation i.e. np.dtype(u’int64’)

Various rpython cleanups for vmprof support

issue2019: Fix isspace as called by rpython unicode.strip()

issue2023: In the cpyext ‘Concrete Object Layer’ API, don’t call methods on the object (which can be overriden), but directly on the concrete base type.

issue2029: Hide the default_factory attribute in a dict

issue2027: Better document pyinteractive and add –withmod-time

branch gc-incminimark-pinning-improve: Object Pinning is now used in bz2 and rzlib (therefore also affects Python’s zlib). In case the data to compress/decompress is inside the nursery (incminimark) it no longer needs to create a non-moving copy of it. This saves one malloc and copying the data. Additionally a new GC environment variable is introduced (PYPY_GC_MAX_PINNED) primarily for debugging purposes.

branch refactor-pycall: Make *-unpacking in RPython function calls completely equivalent to passing the tuple’s elements as arguments. In other words, f(*(a, b)) now behaves exactly like f(a, b).

branch issue2018: Allow prebuilt rpython dict with function values

branch object-dtype2: Extend numpy dtypes to allow using objects with associated garbage collection hook

branch vmprof2: Add backend support for vmprof - a lightweight statistical profiler - to linux64, see client at https://vmprof.readthedocs.org

branch jit_hint_docs: Add more detail to @jit.elidable and @jit.promote in rpython/rlib/jit.py

branch remove_frame-debug-attrs: Remove the debug attributes from frames only used for tracing and replace them with a debug object that is created on-demand

branch can_cast: Implement np.can_cast, np.min_scalar_type and missing dtype comparison operations.

branch numpy-fixes: Fix some error related to object dtype, non-contiguous arrays, inplement parts of __array_interface__, __array_priority__, __array_wrap__

branch cells-local-stack: Unify the PyFrame.cells and Pyframe.locals_stack_w lists, making frame objects 1 or 3 words smaller.

branch pythonoptimize-env Implement PYTHONOPTIMIZE environment variable, fixing issue #2044

branch numpy-flags Finish implementation of ndarray.flags, including str() and repr()

branch cffi-1.0 PyPy now includes CFFI 1.0.

branch pypyw PyPy on windows provides a non-console pypyw.exe as well as pypy.exe. Similar to pythonw.exe, any use of stdout, stderr without redirection will crash.

branch fold-arith-ops remove multiple adds on add chains (“1 + 1 + 1 + ...”)

branch fix-result-types: * Refactor dtype casting and promotion rules for consistency and compatibility with CNumPy. * Refactor ufunc creation. * Implement np.promote_types().