Lots of new features here! We should also investigate the impact of the coming default language level change.
---------- Forwarded message --------- From: Stefan Behnel email@example.com Date: Sun, Oct 14, 2018 at 11:33 AM Subject: [Cython] Cython 0.29 final released To: Cython-users firstname.lastname@example.org, Cython-devel email@example.com
after half a year of development, many community pull requests and a lot of feedback and good ideas in online discussions and at conferences, I'm proud to release Cython 0.29. This is a major feature release that comes with many great improvements and several important bug fixes. See the long list of changes below.
Foresight: Given that Cython has been in critical production use all over the world for several years, but never found the perfect time for a 1.0 version bump, we designate this to become the last 0.x release of the project and decided to skip the 1.0 release which the 0.x series has long represented anyway.
Planning has already started  for the next major release, titled "3.0". It will finally switch the default Cython language level from Py2 to Py3, to match what users expect from a Python compiler these days without additional options or configuration. Cython 2 code will continue to be supported as before with the directive "language_level=2", although the future default (called "3str", Py3 with str literals) is already available in the 0.29 release, so users might prefer switching to that. We're happy to hear your feedback on the proposed changes.
PEP-489 multi-phase module initialisation has been enabled again. Module reloads in other subinterpreters raise an exception to prevent corruption of the static module state.
A set of
mypy compatible PEP-484 declarations were added for Cython's
C data types to integrate with static analysers in typed Python code.
They are available in the
Cython/Shadow.pyi module and describe the
types in the special
cython module that can be used for typing in
Python code. Original patch by Julian Gethmann. (Github issue #1965)
Memoryviews are supported in PEP-484/526 style type declarations. (Github issue #2529)
@cython.nogil is supported as a C-function decorator in Python code.
(Github issue #2557)
Raising exceptions from nogil code will automatically acquire the GIL,
instead of requiring an explicit
with gil block.
C++ functions can now be declared as potentially raising both C++ and Python exceptions, so that Cython can handle both correctly. (Github issue #2615)
cython.inline() supports a direct
that was previously only available via a directive.
A new language level name
3str was added that mostly corresponds to
language level 3, but keeps unprefixed string literals as type 'str' in
both Py2 and Py3, and the builtin 'str' type unchanged. This will become
the default in the next Cython release and is meant to help user code
a) transition more easily to this new default and b) migrate to Python 3
source code semantics without making support for Python 2.x difficult.
In CPython 3.6 and later, looking up globals in the module dict is almost as fast as looking up C globals. (Github issue #2313)
For a Python subclass of an extension type, repeated method calls to non-overridden cpdef methods can avoid the attribute lookup in Py3.6+, which makes them 4x faster. (Github issue #2313)
(In-)equality comparisons of objects to integer literals are faster. (Github issue #2188)
Some internal and 1-argument method calls are faster.
Modules that cimport many external extension types from other Cython modules execute less import requests during module initialisation.
Constant tuples and slices are deduplicated and only created once per module. (Github issue #2292)
The coverage plugin considers more C file extensions such as
.cxx. (Github issue #2266)
cythonize command accepts compile time variable values (as set
DEF) through the new
Patch by Jerome Kieffer. (Github issue #2315)
pyximport can import from namespace packages.
Patch by Prakhar Goel. (Github issue #2294)
Some missing numpy and CPython C-API declarations were added. Patch by John Kirkham. (Github issues #2523, #2520, #2537)
Declarations for the
pylifecycle C-API functions were added in a new
The Pythran support was updated to work with the latest Pythran 0.8.7. Original patch by Adrien Guinet. (Github issue #2600)
%a is included in the string formatting types that are optimised into
f-strings. In this case, it is also automatically mapped to
New C macro
CYTHON_HEX_VERSION to access Cython's version in the same
libc.math are now declared as
check_size clause was added to the
name specification to allow suppressing warnings when importing modules
PyTypeObject size changes.
Patch by Matti Picus. (Github issue #2627)
The exception handling in generators and coroutines under CPython 3.7 was adapted to the newly introduced exception stack. Users of Cython 0.28 who want to support Python 3.7 are encouraged to upgrade to 0.29 to avoid potentially incorrect error reporting and tracebacks. (Github issue #1958)
Crash when importing a module under Stackless Python that was built for CPython. Patch by Anselm Kruis. (Github issue #2534)
2-value slicing of typed sequences failed if the start or stop index was None. Patch by Christian Gibson. (Github issue #2508)
Multiplied string literals lost their factor when they are part of another constant expression (e.g. 'x' * 10 + 'y' => 'xy').
String formatting with the '%' operator didn't call the special
__rmod__() method if the right side is a string subclass that
implements it. (Python issue 28598)
language_level=3 did not apply to the first token
in the source file. (Github issue #2230)
Overriding cpdef methods did not work in Python subclasses with slots. Note that this can have a performance impact on calls from Cython code. (Github issue #1771)
Fix declarations of builtin or C types using strings in pure python mode. (Github issue #2046)
Generator expressions and lambdas failed to compile in
functions. (Github issue #459)
Global names with
const types were not excluded from star-import
assignments which could lead to invalid C code.
(Github issue #2621)
Several internal function signatures were fixed that lead to warnings in gcc-8. (Github issue #2363)
The numpy helper functions
were adapted to the current numpy C-API recommendations.
Patch by Matti Picus. (Github issue #2528)
Some NumPy related code was updated to avoid deprecated API usage. Original patch by jbrockmendel. (Github issue #2559)
Several C++ STL declarations were extended and corrected. Patch by Valentin Valls. (Github issue #2207)
C lines of the module init function were unconditionally not reported in exception stack traces. Patch by Jeroen Demeyer. (Github issue #2492)
When PEP-489 support is enabled, reloading the module overwrote any static module state. It now raises an exception instead, given that reloading is not actually supported.
Object-returning, C++ exception throwing functions were not checking that the return value was non-null. Original patch by Matt Wozniski (Github Issue #2603)
The source file encoding detection could get confused if the
c_string_encoding directive appeared within the first two lines.
(Github issue #2632)
Cython generated modules no longer emit a warning during import when the size of the NumPy array type is larger than what was found at compile. Instead, this is assumed to be a backwards compatible change on NumPy side.
Cython now emits a warning when no
language_level (2, 3 or '3str')
is set explicitly, neither as a
cythonize() option nor as a compiler
directive. This is meant to prepare the transition of the default
language level from currently Py2 to Py3, since that is what most new
users will expect these days. The future default will, however, not
enforce unicode literals, because this has proven a major obstacle in
the support for both Python 2.x and 3.x. The next major release is
intended to make this change, so that it will parse all code that does
not request a specific language level as Python 3 code, but with
literals. The language level 2 will continue to be supported for an
The documentation was restructured, cleaned up and examples are now tested. The NumPy tutorial was also rewritten to simplify the running example. Contributed by Gabriel de Marmiesse. (Github issue #2245)
Cython compiles less of its own modules at build time to reduce the installed package size to about half of its previous size. This makes the compiler slightly slower, by about 5-7%.
cython-devel mailing list firstname.lastname@example.org https://mail.python.org/mailman/listinfo/cython-devel