PyPy2.7 and PyPy3.5 v5.9 dual release¶
The PyPy team is proud to release both PyPy2.7 v5.9 (an interpreter supporting Python 2.7 syntax), and a beta-quality PyPy3.5 v5.9 (an interpreter for Python 3.5 syntax). The two releases are both based on much the same codebase, thus the dual release. Note that PyPy3.5 supports Linux 64bit only for now.
This new PyPy2.7 release includes the upstream stdlib version 2.7.13, and PyPy3.5 includes the upstream stdlib version 3.5.3.
NumPy and Pandas now work on PyPy2.7 (together with Cython 0.27.1). Issues that appeared as excessive memory use were cleared up and other incompatibilities were resolved. The C-API compatibility layer does slow down code which crosses the python-c interface often, we have ideas on how it could be improved, and still recommend using pure python on PyPy or interfacing via CFFI. Many other modules based on C-API exentions now work on PyPy as well.
Cython 0.27.1 (released very recently) supports more projects with PyPy, both on PyPy2.7 and PyPy3.5 beta. Note version 0.27.1 is now the minimum version that supports this version of PyPy, due to some interactions with updated C-API interface code.
We optimized the JSON parser for recurring string keys, which should decrease memory use to 50% and increase parsing speed by up to 15% for large JSON files with many repeating dictionary keys (which is quite common).
CFFI, which is part of the PyPy release, has been updated to 1.11.1,
improving an already great package for interfacing with C. CFFI now supports
complex arguments in API mode, as well as
char32_t and has
improved support for callbacks.
Please let us know if your use case is slow, we have ideas how to make things faster but need real-world examples (not micro-benchmarks) of problematic code.
Work sponsored by a Mozilla grant continues on PyPy3.5; numerous fixes from CPython were ported to PyPy. Of course the bug fixes and performance enhancements mentioned above are part of both PyPy2.7 and PyPy3.5 beta.
As always, this release fixed many other issues and bugs raised by the growing community of PyPy users. We strongly recommend updating.
You can download the v5.9 releases here:
We would like to thank our donors for the continued support of the PyPy project.
We would also like to thank our contributors and encourage new people to join the project. PyPy has many layers and we need help with all of them: PyPy and RPython documentation improvements, tweaking popular modules to run on pypy, or general help with making RPython’s JIT even better.
What is PyPy?¶
PyPy is a very compliant Python interpreter, almost a drop-in replacement for CPython 2.7 and CPython 3.5. It’s fast (PyPy and CPython 2.7.x performance comparison) due to its integrated tracing JIT compiler.
We also welcome developers of other dynamic languages to see what RPython can do for them.
The PyPy 2.7 release supports:
x86 machines on most common operating systems (Linux 32/64 bits, Mac OS X 64 bits, Windows 32 bits, OpenBSD, FreeBSD)
newer ARM hardware (ARMv6 or ARMv7, with VFPv3) running Linux,
big- and little-endian variants of PPC64 running Linux,
s390x running Linux
Highlights of the PyPy2.7, cpyext, and RPython changes (since 5.8 released June, 2017)¶
See also issues that were resolved
Note that these are also merged into PyPy 3.5
New features and cleanups
Add support for
PyObject_RichCompareBool(a, a, ...),
unichar_pindexing now CPython compatible
gcdumpnow reports largest object
More complete support in the
Add cPickle.Unpickler.find_global (issue 1853)
PyErr_NormalizeExceptionwith no exception set
gc.get_referrers()to return the opposite of
Update RevDB to version pypy2.7-v5.6.2
instance.methodwould return always the same bound method object, when gotten from the same instance (as far as
id()can tell). CPython doesn’t do that. Now PyPy, like CPython, returns a different bound method object every time. For
type.method, PyPy2 still returns always the same unbound method object; CPython does it for built-in types but not for user-defined types
Link to disable PaX protection for the JIT when needed
Update build instructions and an rarely used Makefile
Recreate support for using leakfinder in cpyext tests which had suffered bit-rot, disable due to many false positives
Add more functionality to
Better support the
Fix issue 2592 - cpyext
pop_endmust return a value
Fix for duplicate names in ctypes’
_fields__, issue 2621
pyexpatmodule on win32 to use UTF-8 version not UTF-16
gc.get_objectsnow handles objects with finalizers more consistently
Fixed memory leak in
SSLContext.getpeercertreturning validated certificates and
SSLContext.get_ca_certs(binary_mode=True)(_get_crl_dp) CPython issue 29738
Improve performance of
bytearray.extendby rewriting portions in app-level
Optimize list accesses with constant indexes better by retaining more information about them
Add a jit driver for
Improve information retained in a bridge wrt
Move some dummy CAPI functions and
Py*_Checkfunctions from RPython into pure C macros
In the fast
zip(intlist1, intlist2)implementation, don’t wrap and unwrap all the ints
Cache string keys that occur in JSON dicts, as they are likely to repeat
Do not preallocate a RPython list if we only know an upper bound on its size
Issue 2590: fix the bounds in the GC when allocating a lot of objects with finalizers
Replace magical NOT RPYTHON comment with a decorator
Disable vmprof on win32, due to upstream changes that break the internal
Highlights of the PyPy3.5 release (since 5.8 beta released June 2017)¶
Add support for
PyType_FromSpec(PEP 384) and fix issues with PEP 489 support
Support the new version of
Accept buffer objects as filenames, except for oslistdir`
Make slices of array
memoryviews usable as writable buffers if contiguous
Better handling of
'%s'formatting for byte strings which might be utf-8 encoded
Update the macros
Py_DECREFand similar to use the CPython 3.5 version
mappingproxyis recognised as a mapping, not a sequence
Enable PGO for CLang
cppyypackaging and rename the backend to
Support for libressl 2.5.4
classmethod __reduce__which fixes pickling test
Use utf-8 for
ModuleTypeand its subclasses
Add async slot functions in cpyext
Try to make
opensslCFFI bindings more general and future-proof
importlibby only listing built-in modules in
memory_pressureto large CFFI allocations in
_lzma, issue 2579
reversed(mapping object)issue 2601
Fixing regression with non-started generator receiving non-
None, should always raise
itertools.islice: use same logic as CPython, fixes 2643
The following features of Python 3.5 are not implemented yet in PyPy:
PEP 442: Safe object finalization
Please update, and continue to help us make PyPy better.