* Add also references to --with-trace-refs option.
* Move _ob_next and _ob_prev at the end, since they don't exist by
default and are related to debug.
Add Doc/using/configure.rst documentation to document configure,
preprocessor, compiler and linker options.
Add a new section about the "Python debug build".
bpo-42967: [security] Address a web cache-poisoning issue reported in urllib.parse.parse_qsl().
urllib.parse will only us "&" as query string separator by default instead of both ";" and "&" as allowed in earlier versions. An optional argument seperator with default value "&" is added to specify the separator.
Co-authored-by: Éric Araujo <merwok@netwok.org>
Co-authored-by: blurb-it[bot] <43283697+blurb-it[bot]@users.noreply.github.com>
Co-authored-by: Ken Jin <28750310+Fidget-Spinner@users.noreply.github.com>
Co-authored-by: Éric Araujo <merwok@netwok.org>
#msg373510
[bpo-32528]()/#13528 changed `asyncio.CancelledError` such that it no longer inherits from `concurrent.futures.CancelledError`. As this affects existing code, specifically when catching the latter instead of the former in exception handling, it should be documented in the "What's new in 3.8?" document.
Automerge-Triggered-By: @1st1
* "Return true/false" is replaced with "Return ``True``/``False``"
if the function actually returns a bool.
* Fixed formatting of some True and False literals (now in monospace).
* Replaced "True/False" with "true/false" if it can be not only bool.
* Replaced some 1/0 with True/False if it corresponds the code.
* "Returns <bool>" is replaced with "Return <bool>".
CC @encukou
I'm also adding Petr Viktorin as contributor for vectorcall in the "what's new" section.
https://bugs.python.org/issue36974
Automerge-Triggered-By: @encukou
Automerge-Triggered-By: @encukou
* math.perm() and math.comb()
* math.isqrt()
* Add singledispatchmethod()
* itertools.accumulate()
* Optional headers for xmlrpc.client.ServerProxy
* IDLE non-BMP characters
* import collections.abc directly
* @coroutine is deprecated
* pprint.pp()
* New options for object.__reduce__()
* DictReader no longer returns OrderedDicts
* "force" option for logging.basicConfig()
* Fix spelling
* cProfile context manager
* Various markup/grammar fixes from Kyle Stanley.
Other minor fixes as well.
Also, dedup the __reduce__ entry.
* Fix markup
* Fix grammar nits found by MS Word
Py_SetPath() now sets sys.executable to the program full path
(Py_GetProgramFullPath()), rather than to the program name
(Py_GetProgramName()).
Fix also memory leaks in pathconfig_set_from_config().
The socket module now has the socket.send_fds() and socket.recv.fds() functions.
Contributed by Joannah Nanjekye, Shinya Okano (original patch)
and Victor Stinner.
Co-Authored-By: Victor Stinner <vstinner@redhat.com>
* Document `unittest.IsolatedAsyncioTestCase` API
* Add a simple example with respect to order of evaluation of setup and teardown calls.
https://bugs.python.org/issue32972
Automerge-Triggered-By: @asvetlov
The purpose of the `unicodedata.is_normalized` function is to answer
the question `str == unicodedata.normalized(form, str)` more
efficiently than writing just that, by using the "quick check"
optimization described in the Unicode standard in UAX #15.
However, it turns out the code doesn't implement the full algorithm
from the standard, and as a result we often miss the optimization and
end up having to compute the whole normalized string after all.
Implement the standard's algorithm. This greatly speeds up
`unicodedata.is_normalized` in many cases where our partial variant
of quick-check had been returning MAYBE and the standard algorithm
returns NO.
At a quick test on my desktop, the existing code takes about 4.4 ms/MB
(so 4.4 ns per byte) when the partial quick-check returns MAYBE and it
has to do the slow normalize-and-compare:
$ build.base/python -m timeit -s 'import unicodedata; s = "\uf900"*500000' \
-- 'unicodedata.is_normalized("NFD", s)'
50 loops, best of 5: 4.39 msec per loop
With this patch, it gets the answer instantly (58 ns) on the same 1 MB
string:
$ build.dev/python -m timeit -s 'import unicodedata; s = "\uf900"*500000' \
-- 'unicodedata.is_normalized("NFD", s)'
5000000 loops, best of 5: 58.2 nsec per loop
This restores a small optimization that the original version of this
code had for the `unicodedata.normalize` use case.
With this, that case is actually faster than in master!
$ build.base/python -m timeit -s 'import unicodedata; s = "\u0338"*500000' \
-- 'unicodedata.normalize("NFD", s)'
500 loops, best of 5: 561 usec per loop
$ build.dev/python -m timeit -s 'import unicodedata; s = "\u0338"*500000' \
-- 'unicodedata.normalize("NFD", s)'
500 loops, best of 5: 512 usec per loop
Adam Turner
Serhiy Storchaka
Stanley
georgically
Julien Palard
Gregory P. Smith
Łukasz Langa
Victor Stinner
Ken Jin
Adam Goldschmidt
Terry Jan Reedy
JustAnotherArchivist
Javier Buzzi
Raymond Hettinger
Ammar Askar
Baljak
fireattack
Kyle Stanley
Jeroen Demeyer
benedwards14
Jero Bado
Stéphane Wirtel
Andrew Kuchling
Hugo van Kemenade
Phil Jones
bariod
Victor Stinner
Joannah Nanjekye
Emily Morehouse
Simon Willison
Xtreak
Ashwin Vishnu
Greg Price
Christian Heimes