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What's New In Python 3.5
************************
Editors:
Elvis Pranskevichus <elvis@magic.io>, Yury Selivanov
<yury@magic.io>
This article explains the new features in Python 3.5, compared to 3.4.
Python 3.5 was released on September 13, 2015. See the changelog for
a full list of changes.
See also: **PEP 478** - Python 3.5 Release Schedule
Summary -- Release highlights
=============================
New syntax features:
* PEP 492, coroutines with async and await syntax.
* PEP 465, a new matrix multiplication operator: "a @ b".
* PEP 448, additional unpacking generalizations.
New library modules:
* "typing": PEP 484 -- Type Hints.
* "zipapp": PEP 441 Improving Python ZIP Application Support.
New built-in features:
* "bytes % args", "bytearray % args": PEP 461 -- Adding "%" formatting
to bytes and bytearray.
* New "bytes.hex()", "bytearray.hex()" and "memoryview.hex()" methods.
(Contributed by Arnon Yaari in bpo-9951.)
* "memoryview" now supports tuple indexing (including multi-
dimensional). (Contributed by Antoine Pitrou in bpo-23632.)
* Generators have a new "gi_yieldfrom" attribute, which returns the
object being iterated by "yield from" expressions. (Contributed by
Benno Leslie and Yury Selivanov in bpo-24450.)
* A new "RecursionError" exception is now raised when maximum
recursion depth is reached. (Contributed by Georg Brandl in
bpo-19235.)
CPython implementation improvements:
* When the "LC_TYPE" locale is the POSIX locale ("C" locale),
"sys.stdin" and "sys.stdout" now use the "surrogateescape" error
handler, instead of the "strict" error handler. (Contributed by
Victor Stinner in bpo-19977.)
* ".pyo" files are no longer used and have been replaced by a more
flexible scheme that includes the optimization level explicitly in
".pyc" name. (See PEP 488 overview.)
* Builtin and extension modules are now initialized in a multi-phase
process, which is similar to how Python modules are loaded. (See PEP
489 overview.)
Significant improvements in the standard library:
* "collections.OrderedDict" is now implemented in C, which makes it 4
to 100 times faster.
* The "ssl" module gained support for Memory BIO, which decouples SSL
protocol handling from network IO.
* The new "os.scandir()" function provides a better and significantly
faster way of directory traversal.
* "functools.lru_cache()" has been mostly reimplemented in C, yielding
much better performance.
* The new "subprocess.run()" function provides a streamlined way to
run subprocesses.
* The "traceback" module has been significantly enhanced for improved
performance and developer convenience.
Security improvements:
* SSLv3 is now disabled throughout the standard library. It can still
be enabled by instantiating a "ssl.SSLContext" manually. (See
bpo-22638 for more details; this change was backported to CPython
3.4 and 2.7.)
* HTTP cookie parsing is now stricter, in order to protect against
potential injection attacks. (Contributed by Antoine Pitrou in
bpo-22796.)
Windows improvements:
* A new installer for Windows has replaced the old MSI. See Using
Python on Windows for more information.
* Windows builds now use Microsoft Visual C++ 14.0, and extension
modules should use the same.
Please read on for a comprehensive list of user-facing changes,
including many other smaller improvements, CPython optimizations,
deprecations, and potential porting issues.
New Features
============
PEP 492 - Coroutines with async and await syntax
------------------------------------------------
**PEP 492** greatly improves support for asynchronous programming in
Python by adding *awaitable objects*, *coroutine functions*,
*asynchronous iteration*, and *asynchronous context managers*.
Coroutine functions are declared using the new "async def" syntax:
>>> async def coro():
... return 'spam'
Inside a coroutine function, the new "await" expression can be used to
suspend coroutine execution until the result is available. Any object
can be *awaited*, as long as it implements the *awaitable* protocol by
defining the "__await__()" method.
PEP 492 also adds "async for" statement for convenient iteration over
asynchronous iterables.
An example of a rudimentary HTTP client written using the new syntax:
import asyncio
async def http_get(domain):
reader, writer = await asyncio.open_connection(domain, 80)
writer.write(b'\r\n'.join([
b'GET / HTTP/1.1',
b'Host: %b' % domain.encode('latin-1'),
b'Connection: close',
b'', b''
]))
async for line in reader:
print('>>>', line)
writer.close()
loop = asyncio.get_event_loop()
try:
loop.run_until_complete(http_get('example.com'))
finally:
loop.close()
Similarly to asynchronous iteration, there is a new syntax for
asynchronous context managers. The following script:
import asyncio
async def coro(name, lock):
print('coro {}: waiting for lock'.format(name))
async with lock:
print('coro {}: holding the lock'.format(name))
await asyncio.sleep(1)
print('coro {}: releasing the lock'.format(name))
loop = asyncio.get_event_loop()
lock = asyncio.Lock()
coros = asyncio.gather(coro(1, lock), coro(2, lock))
try:
loop.run_until_complete(coros)
finally:
loop.close()
will output:
coro 2: waiting for lock
coro 2: holding the lock
coro 1: waiting for lock
coro 2: releasing the lock
coro 1: holding the lock
coro 1: releasing the lock
Note that both "async for" and "async with" can only be used inside a
coroutine function declared with "async def".
Coroutine functions are intended to be run inside a compatible event
loop, such as the asyncio loop.
Note:
Changed in version 3.5.2: Starting with CPython 3.5.2, "__aiter__"
can directly return *asynchronous iterators*. Returning an
*awaitable* object will result in a "PendingDeprecationWarning".See
more details in the Asynchronous Iterators documentation section.
See also:
**PEP 492** -- Coroutines with async and await syntax
PEP written and implemented by Yury Selivanov.
PEP 465 - A dedicated infix operator for matrix multiplication
--------------------------------------------------------------
**PEP 465** adds the "@" infix operator for matrix multiplication.
Currently, no builtin Python types implement the new operator,
however, it can be implemented by defining "__matmul__()",
"__rmatmul__()", and "__imatmul__()" for regular, reflected, and in-
place matrix multiplication. The semantics of these methods is
similar to that of methods defining other infix arithmetic operators.
Matrix multiplication is a notably common operation in many fields of
mathematics, science, engineering, and the addition of "@" allows
writing cleaner code:
S = (H @ beta - r).T @ inv(H @ V @ H.T) @ (H @ beta - r)
instead of:
S = dot((dot(H, beta) - r).T,
dot(inv(dot(dot(H, V), H.T)), dot(H, beta) - r))
NumPy 1.10 has support for the new operator:
>>> import numpy
>>> x = numpy.ones(3)
>>> x
array([ 1., 1., 1.])
>>> m = numpy.eye(3)
>>> m
array([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
>>> x @ m
array([ 1., 1., 1.])
See also:
**PEP 465** -- A dedicated infix operator for matrix multiplication
PEP written by Nathaniel J. Smith; implemented by Benjamin
Peterson.
PEP 448 - Additional Unpacking Generalizations
----------------------------------------------
**PEP 448** extends the allowed uses of the "*" iterable unpacking
operator and "**" dictionary unpacking operator. It is now possible
to use an arbitrary number of unpackings in function calls:
>>> print(*[1], *[2], 3, *[4, 5])
1 2 3 4 5
>>> def fn(a, b, c, d):
... print(a, b, c, d)
...
>>> fn(**{'a': 1, 'c': 3}, **{'b': 2, 'd': 4})
1 2 3 4
Similarly, tuple, list, set, and dictionary displays allow multiple
unpackings (see Expression lists and Dictionary displays):
>>> *range(4), 4
(0, 1, 2, 3, 4)
>>> [*range(4), 4]
[0, 1, 2, 3, 4]
>>> {*range(4), 4, *(5, 6, 7)}
{0, 1, 2, 3, 4, 5, 6, 7}
>>> {'x': 1, **{'y': 2}}
{'x': 1, 'y': 2}
See also:
**PEP 448** -- Additional Unpacking Generalizations
PEP written by Joshua Landau; implemented by Neil Girdhar, Thomas
Wouters, and Joshua Landau.
PEP 461 - percent formatting support for bytes and bytearray
------------------------------------------------------------
**PEP 461** adds support for the "%" interpolation operator to "bytes"
and "bytearray".
While interpolation is usually thought of as a string operation, there
are cases where interpolation on "bytes" or "bytearrays" makes sense,
and the work needed to make up for this missing functionality detracts
from the overall readability of the code. This issue is particularly
important when dealing with wire format protocols, which are often a
mixture of binary and ASCII compatible text.
Examples:
>>> b'Hello %b!' % b'World'
b'Hello World!'
>>> b'x=%i y=%f' % (1, 2.5)
b'x=1 y=2.500000'
Unicode is not allowed for "%b", but it is accepted by "%a"
(equivalent of "repr(obj).encode('ascii', 'backslashreplace')"):
>>> b'Hello %b!' % 'World'
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: %b requires bytes, or an object that implements __bytes__, not 'str'
>>> b'price: %a' % '10€'
b"price: '10\\u20ac'"
Note that "%s" and "%r" conversion types, although supported, should
only be used in codebases that need compatibility with Python 2.
See also:
**PEP 461** -- Adding % formatting to bytes and bytearray
PEP written by Ethan Furman; implemented by Neil Schemenauer and
Ethan Furman.
PEP 484 - Type Hints
--------------------
Function annotation syntax has been a Python feature since version 3.0
(**PEP 3107**), however the semantics of annotations has been left
undefined.
Experience has shown that the majority of function annotation uses
were to provide type hints to function parameters and return values.
It became evident that it would be beneficial for Python users, if the
standard library included the base definitions and tools for type
annotations.
**PEP 484** introduces a *provisional module* to provide these
standard definitions and tools, along with some conventions for
situations where annotations are not available.
For example, here is a simple function whose argument and return type
are declared in the annotations:
def greeting(name: str) -> str:
return 'Hello ' + name
While these annotations are available at runtime through the usual
"__annotations__" attribute, *no automatic type checking happens at
runtime*. Instead, it is assumed that a separate off-line type
checker (e.g. mypy) will be used for on-demand source code analysis.
The type system supports unions, generic types, and a special type
named "Any" which is consistent with (i.e. assignable to and from) all
types.
See also:
* "typing" module documentation
* **PEP 484** -- Type Hints
PEP written by Guido van Rossum, Jukka Lehtosalo, and Łukasz
Langa; implemented by Guido van Rossum.
* **PEP 483** -- The Theory of Type Hints
PEP written by Guido van Rossum
PEP 471 - os.scandir() function -- a better and faster directory iterator
-------------------------------------------------------------------------
**PEP 471** adds a new directory iteration function, "os.scandir()",
to the standard library. Additionally, "os.walk()" is now implemented
using "scandir", which makes it 3 to 5 times faster on POSIX systems
and 7 to 20 times faster on Windows systems. This is largely achieved
by greatly reducing the number of calls to "os.stat()" required to
walk a directory tree.
Additionally, "scandir" returns an iterator, as opposed to returning a
list of file names, which improves memory efficiency when iterating
over very large directories.
The following example shows a simple use of "os.scandir()" to display
all the files (excluding directories) in the given *path* that don't
start with "'.'". The "entry.is_file()" call will generally not make
an additional system call:
for entry in os.scandir(path):
if not entry.name.startswith('.') and entry.is_file():
print(entry.name)
See also:
**PEP 471** -- os.scandir() function -- a better and faster
directory iterator
PEP written and implemented by Ben Hoyt with the help of Victor
Stinner.
PEP 475: Retry system calls failing with EINTR
----------------------------------------------
An "errno.EINTR" error code is returned whenever a system call, that
is waiting for I/O, is interrupted by a signal. Previously, Python
would raise "InterruptedError" in such cases. This meant that, when
writing a Python application, the developer had two choices:
1. Ignore the "InterruptedError".
2. Handle the "InterruptedError" and attempt to restart the
interrupted system call at every call site.
The first option makes an application fail intermittently. The second
option adds a large amount of boilerplate that makes the code nearly
unreadable. Compare:
print("Hello World")
and:
while True:
try:
print("Hello World")
break
except InterruptedError:
continue
**PEP 475** implements automatic retry of system calls on "EINTR".
This removes the burden of dealing with "EINTR" or "InterruptedError"
in user code in most situations and makes Python programs, including
the standard library, more robust. Note that the system call is only
retried if the signal handler does not raise an exception.
Below is a list of functions which are now retried when interrupted by
a signal:
* "open()" and "io.open()";
* functions of the "faulthandler" module;
* "os" functions: "fchdir()", "fchmod()", "fchown()", "fdatasync()",
"fstat()", "fstatvfs()", "fsync()", "ftruncate()", "mkfifo()",
"mknod()", "open()", "posix_fadvise()", "posix_fallocate()",
"pread()", "pwrite()", "read()", "readv()", "sendfile()", "wait3()",
"wait4()", "wait()", "waitid()", "waitpid()", "write()", "writev()";
* special cases: "os.close()" and "os.dup2()" now ignore "EINTR"
errors; the syscall is not retried (see the PEP for the rationale);
* "select" functions: "devpoll.poll()", "epoll.poll()",
"kqueue.control()", "poll.poll()", "select()";
* methods of the "socket" class: "accept()", "connect()" (except for
non-blocking sockets), "recv()", "recvfrom()", "recvmsg()",
"send()", "sendall()", "sendmsg()", "sendto()";
* "signal.sigtimedwait()" and "signal.sigwaitinfo()";
* "time.sleep()".
See also:
**PEP 475** -- Retry system calls failing with EINTR
PEP and implementation written by Charles-François Natali and
Victor Stinner, with the help of Antoine Pitrou (the French
connection).
PEP 479: Change StopIteration handling inside generators
--------------------------------------------------------
The interaction of generators and "StopIteration" in Python 3.4 and
earlier was sometimes surprising, and could conceal obscure bugs.
Previously, "StopIteration" raised accidentally inside a generator
function was interpreted as the end of the iteration by the loop
construct driving the generator.
**PEP 479** changes the behavior of generators: when a "StopIteration"
exception is raised inside a generator, it is replaced with a
"RuntimeError" before it exits the generator frame. The main goal of
this change is to ease debugging in the situation where an unguarded
"next()" call raises "StopIteration" and causes the iteration
controlled by the generator to terminate silently. This is
particularly pernicious in combination with the "yield from"
construct.
This is a backwards incompatible change, so to enable the new
behavior, a *__future__* import is necessary:
>>> from __future__ import generator_stop
>>> def gen():
... next(iter([]))
... yield
...
>>> next(gen())
Traceback (most recent call last):
File "<stdin>", line 2, in gen
StopIteration
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
RuntimeError: generator raised StopIteration
Without a "__future__" import, a "PendingDeprecationWarning" will be
raised whenever a "StopIteration" exception is raised inside a
generator.
See also:
**PEP 479** -- Change StopIteration handling inside generators
PEP written by Chris Angelico and Guido van Rossum. Implemented
by Chris Angelico, Yury Selivanov and Nick Coghlan.
PEP 485: A function for testing approximate equality
----------------------------------------------------
**PEP 485** adds the "math.isclose()" and "cmath.isclose()" functions
which tell whether two values are approximately equal or "close" to
each other. Whether or not two values are considered close is
determined according to given absolute and relative tolerances.
Relative tolerance is the maximum allowed difference between "isclose"
arguments, relative to the larger absolute value:
>>> import math
>>> a = 5.0
>>> b = 4.99998
>>> math.isclose(a, b, rel_tol=1e-5)
True
>>> math.isclose(a, b, rel_tol=1e-6)
False
It is also possible to compare two values using absolute tolerance,
which must be a non-negative value:
>>> import math
>>> a = 5.0
>>> b = 4.99998
>>> math.isclose(a, b, abs_tol=0.00003)
True
>>> math.isclose(a, b, abs_tol=0.00001)
False
See also:
**PEP 485** -- A function for testing approximate equality
PEP written by Christopher Barker; implemented by Chris Barker
and Tal Einat.
PEP 486: Make the Python Launcher aware of virtual environments
---------------------------------------------------------------
**PEP 486** makes the Windows launcher (see **PEP 397**) aware of an
active virtual environment. When the default interpreter would be used
and the "VIRTUAL_ENV" environment variable is set, the interpreter in
the virtual environment will be used.
See also:
**PEP 486** -- Make the Python Launcher aware of virtual
environments
PEP written and implemented by Paul Moore.
PEP 488: Elimination of PYO files
---------------------------------
**PEP 488** does away with the concept of ".pyo" files. This means
that ".pyc" files represent both unoptimized and optimized bytecode.
To prevent the need to constantly regenerate bytecode files, ".pyc"
files now have an optional "opt-" tag in their name when the bytecode
is optimized. This has the side-effect of no more bytecode file name
clashes when running under either "-O" or "-OO". Consequently,
bytecode files generated from "-O", and "-OO" may now exist
simultaneously. "importlib.util.cache_from_source()" has an updated
API to help with this change.
See also:
**PEP 488** -- Elimination of PYO files
PEP written and implemented by Brett Cannon.
PEP 489: Multi-phase extension module initialization
----------------------------------------------------
**PEP 489** updates extension module initialization to take advantage
of the two step module loading mechanism introduced by **PEP 451** in
Python 3.4.
This change brings the import semantics of extension modules that opt-
in to using the new mechanism much closer to those of Python source
and bytecode modules, including the ability to use any valid
identifier as a module name, rather than being restricted to ASCII.
See also:
**PEP 489** -- Multi-phase extension module initialization
PEP written by Petr Viktorin, Stefan Behnel, and Nick Coghlan;
implemented by Petr Viktorin.
Other Language Changes
======================
Some smaller changes made to the core Python language are:
* Added the ""namereplace"" error handlers. The ""backslashreplace""
error handlers now work with decoding and translating. (Contributed
by Serhiy Storchaka in bpo-19676 and bpo-22286.)
* The "-b" option now affects comparisons of "bytes" with "int".
(Contributed by Serhiy Storchaka in bpo-23681.)
* New Kazakh "kz1048" and Tajik "koi8_t" codecs. (Contributed by
Serhiy Storchaka in bpo-22682 and bpo-22681.)
* Property docstrings are now writable. This is especially useful for
"collections.namedtuple()" docstrings. (Contributed by Berker Peksag
in bpo-24064.)
* Circular imports involving relative imports are now supported.
(Contributed by Brett Cannon and Antoine Pitrou in bpo-17636.)
New Modules
===========
typing
------
The new "typing" *provisional* module provides standard definitions
and tools for function type annotations. See Type Hints for more
information.
zipapp
------
The new "zipapp" module (specified in **PEP 441**) provides an API and
command line tool for creating executable Python Zip Applications,
which were introduced in Python 2.6 in bpo-1739468, but which were not
well publicized, either at the time or since.
With the new module, bundling your application is as simple as putting
all the files, including a "__main__.py" file, into a directory
"myapp" and running:
$ python -m zipapp myapp
$ python myapp.pyz
The module implementation has been contributed by Paul Moore in
bpo-23491.
See also: **PEP 441** -- Improving Python ZIP Application Support
Improved Modules
================
argparse
--------
The "ArgumentParser" class now allows disabling abbreviated usage of
long options by setting allow_abbrev to "False". (Contributed by
Jonathan Paugh, Steven Bethard, paul j3 and Daniel Eriksson in
bpo-14910.)
asyncio
-------
Since the "asyncio" module is *provisional*, all changes introduced in
Python 3.5 have also been backported to Python 3.4.x.
Notable changes in the "asyncio" module since Python 3.4.0:
* New debugging APIs: "loop.set_debug()" and "loop.get_debug()"
methods. (Contributed by Victor Stinner.)
* The proactor event loop now supports SSL. (Contributed by Antoine
Pitrou and Victor Stinner in bpo-22560.)
* A new "loop.is_closed()" method to check if the event loop is
closed. (Contributed by Victor Stinner in bpo-21326.)
* A new "loop.create_task()" to conveniently create and schedule a new
"Task" for a coroutine. The "create_task" method is also used by
all asyncio functions that wrap coroutines into tasks, such as
"asyncio.wait()", "asyncio.gather()", etc. (Contributed by Victor
Stinner.)
* A new "transport.get_write_buffer_limits()" method to inquire for
*high-* and *low-* water limits of the flow control. (Contributed by
Victor Stinner.)
* The "async()" function is deprecated in favor of "ensure_future()".
(Contributed by Yury Selivanov.)
* New "loop.set_task_factory()" and "loop.get_task_factory()" methods
to customize the task factory that "loop.create_task()" method uses.
(Contributed by Yury Selivanov.)
* New "Queue.join()" and "Queue.task_done()" queue methods.
(Contributed by Victor Stinner.)
* The "JoinableQueue" class was removed, in favor of the
"asyncio.Queue" class. (Contributed by Victor Stinner.)
Updates in 3.5.1:
* The "ensure_future()" function and all functions that use it, such
as "loop.run_until_complete()", now accept all kinds of *awaitable
objects*. (Contributed by Yury Selivanov.)
* New "run_coroutine_threadsafe()" function to submit coroutines to
event loops from other threads. (Contributed by Vincent Michel.)
* New "Transport.is_closing()" method to check if the transport is
closing or closed. (Contributed by Yury Selivanov.)
* The "loop.create_server()" method can now accept a list of hosts.
(Contributed by Yann Sionneau.)
Updates in 3.5.2:
* New "loop.create_future()" method to create Future objects. This
allows alternative event loop implementations, such as uvloop, to
provide a faster "asyncio.Future" implementation. (Contributed by
Yury Selivanov.)
* New "loop.get_exception_handler()" method to get the current
exception handler. (Contributed by Yury Selivanov.)
* New "StreamReader.readuntil()" method to read data from the stream
until a separator bytes sequence appears. (Contributed by Mark
Korenberg.)
* The "loop.create_connection()" and "loop.create_server()" methods
are optimized to avoid calling the system "getaddrinfo" function if
the address is already resolved. (Contributed by A. Jesse Jiryu
Davis.)
* The "loop.sock_connect(sock, address)" no longer requires the
*address* to be resolved prior to the call. (Contributed by A. Jesse
Jiryu Davis.)
bz2
---
The "BZ2Decompressor.decompress" method now accepts an optional
*max_length* argument to limit the maximum size of decompressed data.
(Contributed by Nikolaus Rath in bpo-15955.)
cgi
---
The "FieldStorage" class now supports the *context manager* protocol.
(Contributed by Berker Peksag in bpo-20289.)
cmath
-----
A new function "isclose()" provides a way to test for approximate
equality. (Contributed by Chris Barker and Tal Einat in bpo-24270.)
code
----
The "InteractiveInterpreter.showtraceback()" method now prints the
full chained traceback, just like the interactive interpreter.
(Contributed by Claudiu Popa in bpo-17442.)
collections
-----------
The "OrderedDict" class is now implemented in C, which makes it 4 to
100 times faster. (Contributed by Eric Snow in bpo-16991.)
"OrderedDict.items()", "OrderedDict.keys()", "OrderedDict.values()"
views now support "reversed()" iteration. (Contributed by Serhiy
Storchaka in bpo-19505.)
The "deque" class now defines "index()", "insert()", and "copy()", and
supports the "+" and "*" operators. This allows deques to be
recognized as a "MutableSequence" and improves their substitutability
for lists. (Contributed by Raymond Hettinger in bpo-23704.)
Docstrings produced by "namedtuple()" can now be updated:
Point = namedtuple('Point', ['x', 'y'])
Point.__doc__ += ': Cartesian coodinate'
Point.x.__doc__ = 'abscissa'
Point.y.__doc__ = 'ordinate'
(Contributed by Berker Peksag in bpo-24064.)
The "UserString" class now implements the "__getnewargs__()",
"__rmod__()", "casefold()", "format_map()", "isprintable()", and
"maketrans()" methods to match the corresponding methods of "str".
(Contributed by Joe Jevnik in bpo-22189.)
collections.abc
---------------
The "Sequence.index()" method now accepts *start* and *stop* arguments
to match the corresponding methods of "tuple", "list", etc.
(Contributed by Devin Jeanpierre in bpo-23086.)
A new "Generator" abstract base class. (Contributed by Stefan Behnel
in bpo-24018.)
New "Awaitable", "Coroutine", "AsyncIterator", and "AsyncIterable"
abstract base classes. (Contributed by Yury Selivanov in bpo-24184.)
For earlier Python versions, a backport of the new ABCs is available
in an external PyPI package.
compileall
----------
A new "compileall" option, "-j *N*", allows running *N* workers
simultaneously to perform parallel bytecode compilation. The
"compile_dir()" function has a corresponding "workers" parameter.
(Contributed by Claudiu Popa in bpo-16104.)
Another new option, "-r", allows controlling the maximum recursion
level for subdirectories. (Contributed by Claudiu Popa in bpo-19628.)
The "-q" command line option can now be specified more than once, in
which case all output, including errors, will be suppressed. The
corresponding "quiet" parameter in "compile_dir()", "compile_file()",
and "compile_path()" can now accept an integer value indicating the
level of output suppression. (Contributed by Thomas Kluyver in
bpo-21338.)
concurrent.futures
------------------
The "Executor.map()" method now accepts a *chunksize* argument to
allow batching of tasks to improve performance when
"ProcessPoolExecutor()" is used. (Contributed by Dan O'Reilly in
bpo-11271.)
The number of workers in the "ThreadPoolExecutor" constructor is
optional now. The default value is 5 times the number of CPUs.
(Contributed by Claudiu Popa in bpo-21527.)
configparser
------------
"configparser" now provides a way to customize the conversion of
values by specifying a dictionary of converters in the "ConfigParser"
constructor, or by defining them as methods in "ConfigParser"
subclasses. Converters defined in a parser instance are inherited by
its section proxies.
Example:
>>> import configparser
>>> conv = {}
>>> conv['list'] = lambda v: [e.strip() for e in v.split() if e.strip()]
>>> cfg = configparser.ConfigParser(converters=conv)
>>> cfg.read_string("""
... [s]
... list = a b c d e f g
... """)
>>> cfg.get('s', 'list')
'a b c d e f g'
>>> cfg.getlist('s', 'list')
['a', 'b', 'c', 'd', 'e', 'f', 'g']
>>> section = cfg['s']
>>> section.getlist('list')
['a', 'b', 'c', 'd', 'e', 'f', 'g']
(Contributed by Łukasz Langa in bpo-18159.)
contextlib
----------
The new "redirect_stderr()" *context manager* (similar to
"redirect_stdout()") makes it easier for utility scripts to handle
inflexible APIs that write their output to "sys.stderr" and don't
provide any options to redirect it:
>>> import contextlib, io, logging
>>> f = io.StringIO()
>>> with contextlib.redirect_stderr(f):
... logging.warning('warning')
...
>>> f.getvalue()
'WARNING:root:warning\n'
(Contributed by Berker Peksag in bpo-22389.)
csv
---
The "writerow()" method now supports arbitrary iterables, not just
sequences. (Contributed by Serhiy Storchaka in bpo-23171.)
curses
------
The new "update_lines_cols()" function updates the "LINES" and "COLS"
environment variables. This is useful for detecting manual screen
resizing. (Contributed by Arnon Yaari in bpo-4254.)
dbm
---
"dumb.open" always creates a new database when the flag has the value
""n"". (Contributed by Claudiu Popa in bpo-18039.)
difflib
-------
The charset of HTML documents generated by "HtmlDiff.make_file()" can
now be customized by using a new *charset* keyword-only argument. The
default charset of HTML document changed from ""ISO-8859-1"" to
""utf-8"". (Contributed by Berker Peksag in bpo-2052.)
The "diff_bytes()" function can now compare lists of byte strings.
This fixes a regression from Python 2. (Contributed by Terry J. Reedy
and Greg Ward in bpo-17445.)
distutils
---------
Both the "build" and "build_ext" commands now accept a "-j" option to
enable parallel building of extension modules. (Contributed by Antoine
Pitrou in bpo-5309.)
The "distutils" module now supports "xz" compression, and can be
enabled by passing "xztar" as an argument to "bdist --format".
(Contributed by Serhiy Storchaka in bpo-16314.)
doctest
-------
The "DocTestSuite()" function returns an empty "unittest.TestSuite" if
*module* contains no docstrings, instead of raising "ValueError".
(Contributed by Glenn Jones in bpo-15916.)
email
-----
A new policy option "Policy.mangle_from_" controls whether or not
lines that start with ""From "" in email bodies are prefixed with a
"">"" character by generators. The default is "True" for "compat32"
and "False" for all other policies. (Contributed by Milan Oberkirch in
bpo-20098.)
A new "Message.get_content_disposition()" method provides easy access
to a canonical value for the *Content-Disposition* header.
(Contributed by Abhilash Raj in bpo-21083.)
A new policy option "EmailPolicy.utf8" can be set to "True" to encode
email headers using the UTF-8 charset instead of using encoded words.
This allows "Messages" to be formatted according to **RFC 6532** and
used with an SMTP server that supports the **RFC 6531** "SMTPUTF8"
extension. (Contributed by R. David Murray in bpo-24211.)
The "mime.text.MIMEText" constructor now accepts a "charset.Charset"
instance. (Contributed by Claude Paroz and Berker Peksag in
bpo-16324.)
enum