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MIT

Overview: Easy, clean, reliable Python 2/3 compatibility

python-future is the missing compatibility layer between Python 2 and Python 3. It allows you to use a single, clean Python 3.x-compatible codebase to support both Python 2 and Python 3 with minimal overhead.

It provides future and past packages with backports and forward ports of features from Python 3 and 2. It also comes with futurize and pasteurize, customized 2to3-based scripts that helps you to convert either Py2 or Py3 code easily to support both Python 2 and 3 in a single clean Py3-style codebase, module by module.

Notable projects that use python-future for Python 2/3 compatibility are Mezzanine and ObsPy.

Features

https://travis-ci.org/PythonCharmers/python-future.svg?branch=master
  • future.builtins package (also available as builtins on Py2) provides backports and remappings for 20 builtins with different semantics on Py3 versus Py2
  • support for directly importing 30 standard library modules under their Python 3 names on Py2
  • support for importing the other 14 refactored standard library modules under their Py3 names relatively cleanly via future.standard_library and future.moves
  • past.builtins package provides forward-ports of 19 Python 2 types and builtin functions. These can aid with per-module code migrations.
  • past.translation package supports transparent translation of Python 2 modules to Python 3 upon import. [This feature is currently in alpha.]
  • 1000+ unit tests, including many from the Py3.3 source tree.
  • futurize and pasteurize scripts based on 2to3 and parts of 3to2 and python-modernize, for automatic conversion from either Py2 or Py3 to a clean single-source codebase compatible with Python 2.6+ and Python 3.3+.
  • a curated set of utility functions and decorators in future.utils and past.utils selected from Py2/3 compatibility interfaces from projects like six, IPython, Jinja2, Django, and Pandas.
  • support for the surrogateescape error handler when encoding and decoding the backported str and bytes objects. [This feature is currently in alpha.]

Code examples

Replacements for Py2's built-in functions and types are designed to be imported at the top of each Python module together with Python's built-in __future__ statements. For example, this code behaves identically on Python 2.6/2.7 after these imports as it does on Python 3.3+:

from __future__ import absolute_import, division, print_function
from builtins import (bytes, str, open, super, range,
                      zip, round, input, int, pow, object)

# Backported Py3 bytes object
b = bytes(b'ABCD')
assert list(b) == [65, 66, 67, 68]
assert repr(b) == "b'ABCD'"
# These raise TypeErrors:
# b + u'EFGH'
# bytes(b',').join([u'Fred', u'Bill'])

# Backported Py3 str object
s = str(u'ABCD')
assert s != bytes(b'ABCD')
assert isinstance(s.encode('utf-8'), bytes)
assert isinstance(b.decode('utf-8'), str)
assert repr(s) == "'ABCD'"      # consistent repr with Py3 (no u prefix)
# These raise TypeErrors:
# bytes(b'B') in s
# s.find(bytes(b'A'))

# Extra arguments for the open() function
f = open('japanese.txt', encoding='utf-8', errors='replace')

# New zero-argument super() function:
class VerboseList(list):
    def append(self, item):
        print('Adding an item')
        super().append(item)

# New iterable range object with slicing support
for i in range(10**15)[:10]:
    pass

# Other iterators: map, zip, filter
my_iter = zip(range(3), ['a', 'b', 'c'])
assert my_iter != list(my_iter)

# The round() function behaves as it does in Python 3, using
# "Banker's Rounding" to the nearest even last digit:
assert round(0.1250, 2) == 0.12

# input() replaces Py2's raw_input() (with no eval()):
name = input('What is your name? ')
print('Hello ' + name)

# pow() supports fractional exponents of negative numbers like in Py3:
z = pow(-1, 0.5)

# Compatible output from isinstance() across Py2/3:
assert isinstance(2**64, int)        # long integers
assert isinstance(u'blah', str)
assert isinstance('blah', str)       # only if unicode_literals is in effect

# Py3-style iterators written as new-style classes (subclasses of
# future.types.newobject) are automatically backward compatible with Py2:
class Upper(object):
    def __init__(self, iterable):
        self._iter = iter(iterable)
    def __next__(self):                 # note the Py3 interface
        return next(self._iter).upper()
    def __iter__(self):
        return self
assert list(Upper('hello')) == list('HELLO')

There is also support for renamed standard library modules. The recommended interface works like this:

# Many Py3 module names are supported directly on both Py2.x and 3.x:
from http.client import HttpConnection
import html.parser
import queue
import xmlrpc.client

# Refactored modules with clashing names on Py2 and Py3 are supported
# as follows:
from future import standard_library
standard_library.install_aliases()

# Then, for example:
from itertools import filterfalse, zip_longest
from urllib.request import urlopen
from collections import ChainMap
from collections import UserDict, UserList, UserString
from subprocess import getoutput, getstatusoutput
from collections import Counter, OrderedDict   # backported to Py2.6

Automatic conversion to Py2/3-compatible code

python-future comes with two scripts called futurize and pasteurize to aid in making Python 2 code or Python 3 code compatible with both platforms (Py2/3). It is based on 2to3 and uses fixers from lib2to3, lib3to2, and python-modernize, as well as custom fixers.

futurize passes Python 2 code through all the appropriate fixers to turn it into valid Python 3 code, and then adds __future__ and future package imports so that it also runs under Python 2.

For conversions from Python 3 code to Py2/3, use the pasteurize script instead. This converts Py3-only constructs (e.g. new metaclass syntax) to Py2/3 compatible constructs and adds __future__ and future imports to the top of each module.

In both cases, the result should be relatively clean Py3-style code that runs mostly unchanged on both Python 2 and Python 3.

Futurize: 2 to both

For example, running futurize -w mymodule.py turns this Python 2 code:

import Queue
from urllib2 import urlopen

def greet(name):
    print 'Hello',
    print name

print "What's your name?",
name = raw_input()
greet(name)

into this code which runs on both Py2 and Py3:

from __future__ import print_function
from future import standard_library
standard_library.install_aliases()
from builtins import input
import queue
from urllib.request import urlopen

def greet(name):
    print('Hello', end=' ')
    print(name)

print("What's your name?", end=' ')
name = input()
greet(name)

See :ref:`forwards-conversion` and :ref:`backwards-conversion` for more details.

Automatic translation

The past package can automatically translate some simple Python 2 modules to Python 3 upon import. The goal is to support the "long tail" of real-world Python 2 modules (e.g. on PyPI) that have not been ported yet. For example, here is how to use a Python 2-only package called plotrique on Python 3. First install it:

$ pip3 install plotrique==0.2.5-7 --no-compile   # to ignore SyntaxErrors

(or use pip if this points to your Py3 environment.)

Then pass a whitelist of module name prefixes to the autotranslate() function. Example:

$ python3

>>> from past import autotranslate
>>> autotranslate(['plotrique'])
>>> import plotrique

This transparently translates and runs the plotrique module and any submodules in the plotrique package that plotrique imports.

This is intended to help you migrate to Python 3 without the need for all your code's dependencies to support Python 3 yet. It should be used as a last resort; ideally Python 2-only dependencies should be ported properly to a Python 2/3 compatible codebase using a tool like futurize and the changes should be pushed to the upstream project.

Note: the auto-translation feature is still in alpha; it needs more testing and development, and will likely never be perfect.

For more info, see :ref:`translation`.

Licensing

Author: Ed Schofield
Copyright: 2013-2016 Python Charmers Pty Ltd, Australia.
Sponsor: Python Charmers Pty Ltd, Australia, and Python Charmers Pte Ltd, Singapore. http://pythoncharmers.com
Licence: MIT. See LICENSE.txt or here.
Other credits: See here.

Next steps

If you are new to Python-Future, check out the Quickstart Guide.

For an update on changes in the latest version, see the What's New page.

Copyright (c) 2013-2016 Python Charmers Pty Ltd, Australia Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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