python的__future__模块
一、概述
Python的每个新版本都会增加一些新的功能,或者对原来的功能作一些改动。有些改动是不兼容旧版本的,也就是在当前版本运行正常的代码,到下一个版本运行就可能不正常了。
从Python 2.7到Python 3.x就有不兼容的一些改动,比如2.x里的字符串用'xxx'表示str,Unicode字符串用u'xxx'表示unicode,而在3.x中,所有字符串都被视为unicode。
因此,写u'xxx'和'xxx'是完全一致的,而在2.x中以'xxx'表示的str就必须写成b'xxx',以此表示“二进制字符串”。
直接把代码升级到3.x是比较冒进的,因为有大量的改动需要测试。相反,可以在2.7版本中先在一部分代码中测试一些3.x的特性,如果没有问题,再移植到3.x不迟。
Python提供了__future__模块,把下一个新版本的特性导入到当前版本,于是我们就可以在当前版本中测试一些新版本的特性。
二、源代码
个人Python环境,__future__路径:C:\ProgramData\Anaconda3\Lib\__future__.py
"""Record of phased-in incompatible language changes.
Each line is of the form:
FeatureName = "_Feature(" OptionalRelease "," MandatoryRelease ","
CompilerFlag ")"
where, normally, OptionalRelease < MandatoryRelease, and both are 5-tuples
of the same form as sys.version_info:
(PY_MAJOR_VERSION, # the 2 in 2.1.0a3; an int
PY_MINOR_VERSION, # the 1; an int
PY_MICRO_VERSION, # the 0; an int
PY_RELEASE_LEVEL, # "alpha", "beta", "candidate" or "final"; string
PY_RELEASE_SERIAL # the 3; an int
)
OptionalRelease records the first release in which
from __future__ import FeatureName
was accepted.
In the case of MandatoryReleases that have not yet occurred,
MandatoryRelease predicts the release in which the feature will become part
of the language.
Else MandatoryRelease records when the feature became part of the language;
in releases at or after that, modules no longer need
from __future__ import FeatureName
to use the feature in question, but may continue to use such imports.
MandatoryRelease may also be None, meaning that a planned feature got
dropped.
Instances of class _Feature have two corresponding methods,
.getOptionalRelease() and .getMandatoryRelease().
CompilerFlag is the (bitfield) flag that should be passed in the fourth
argument to the builtin function compile() to enable the feature in
dynamically compiled code. This flag is stored in the .compiler_flag
attribute on _Future instances. These values must match the appropriate
#defines of CO_xxx flags in Include/compile.h.
No feature line is ever to be deleted from this file.
"""
all_feature_names = [
"nested_scopes",
"generators",
"division",
"absolute_import",
"with_statement",
"print_function",
"unicode_literals",
"barry_as_FLUFL",
"generator_stop",
"annotations",
]
__all__ = ["all_feature_names"] + all_feature_names
# The CO_xxx symbols are defined here under the same names defined in
# code.h and used by compile.h, so that an editor search will find them here.
# However, they're not exported in __all__, because they don't really belong to
# this module.
CO_NESTED = 0x0010 # nested_scopes
CO_GENERATOR_ALLOWED = 0 # generators (obsolete, was 0x1000)
CO_FUTURE_DIVISION = 0x2000 # division
CO_FUTURE_ABSOLUTE_IMPORT = 0x4000 # perform absolute imports by default
CO_FUTURE_WITH_STATEMENT = 0x8000 # with statement
CO_FUTURE_PRINT_FUNCTION = 0x10000 # print function
CO_FUTURE_UNICODE_LITERALS = 0x20000 # unicode string literals
CO_FUTURE_BARRY_AS_BDFL = 0x40000
CO_FUTURE_GENERATOR_STOP = 0x80000 # StopIteration becomes RuntimeError in generators
CO_FUTURE_ANNOTATIONS = 0x100000 # annotations become strings at runtime
class _Feature:
def __init__(self, optionalRelease, mandatoryRelease, compiler_flag):
self.optional = optionalRelease
self.mandatory = mandatoryRelease
self.compiler_flag = compiler_flag
def getOptionalRelease(self):
"""Return first release in which this feature was recognized.
This is a 5-tuple, of the same form as sys.version_info.
"""
return self.optional
def getMandatoryRelease(self):
"""Return release in which this feature will become mandatory.
This is a 5-tuple, of the same form as sys.version_info, or, if
the feature was dropped, is None.
"""
return self.mandatory
def __repr__(self):
return "_Feature" + repr((self.optional,
self.mandatory,
self.compiler_flag))
nested_scopes = _Feature((2, 1, 0, "beta", 1),
(2, 2, 0, "alpha", 0),
CO_NESTED)
generators = _Feature((2, 2, 0, "alpha", 1),
(2, 3, 0, "final", 0),
CO_GENERATOR_ALLOWED)
division = _Feature((2, 2, 0, "alpha", 2),
(3, 0, 0, "alpha", 0),
CO_FUTURE_DIVISION)
absolute_import = _Feature((2, 5, 0, "alpha", 1),
(3, 0, 0, "alpha", 0),
CO_FUTURE_ABSOLUTE_IMPORT)
with_statement = _Feature((2, 5, 0, "alpha", 1),
(2, 6, 0, "alpha", 0),
CO_FUTURE_WITH_STATEMENT)
print_function = _Feature((2, 6, 0, "alpha", 2),
(3, 0, 0, "alpha", 0),
CO_FUTURE_PRINT_FUNCTION)
unicode_literals = _Feature((2, 6, 0, "alpha", 2),
(3, 0, 0, "alpha", 0),
CO_FUTURE_UNICODE_LITERALS)
barry_as_FLUFL = _Feature((3, 1, 0, "alpha", 2),
(3, 9, 0, "alpha", 0),
CO_FUTURE_BARRY_AS_BDFL)
generator_stop = _Feature((3, 5, 0, "beta", 1),
(3, 7, 0, "alpha", 0),
CO_FUTURE_GENERATOR_STOP)
annotations = _Feature((3, 7, 0, "beta", 1),
(4, 0, 0, "alpha", 0),
CO_FUTURE_ANNOTATIONS)
三、使用说明
1.division
- Python2
整数相除的结果为取整去余;浮点数相除为精确除法。

- Python3
默认为精确除法;如果需要取整时使用//,也称之为地板除。

2.print
- Python2中print为打印关键字

- Python3中print为打印函数名

3.unicode_literals
- Python2,字符串默认为str类型;添加前缀u后变为Unicode类型

- Python3,字符串默认为Unicode类型;如果需要str类型,添加前缀b

4.absolute_import
首先需要了解相对导入、绝对导入的概念
相对导入:在不指明 package 名的情况下导入自己这个 package 的模块,比如一个 package 下有 a.py 和 b.py 两个文件,在 a.py 里 from . import b 即是相对导入 b.py
绝对导入:指明顶层 package 名,比如 import a,Python 会在 sys.path里寻找所有名为 a 的顶层模块
- Python2,支持绝对导入,
- Python3,支持相对导入、绝对导入
python的__future__模块的更多相关文章
- 【python】__future__模块
转自:http://www.jb51.net/article/65030.htm Python的每个新版本都会增加一些新的功能,或者对原来的功能作一些改动.有些改动是不兼容旧版本的,也就是在当前版本运 ...
- python模块之__future__模块
Python的每个新版本都会增加一些新的功能,或者对原来的功能作一些改动.有些改动是不兼容旧版本的,也就是在当前版本运行正常的代码,到下一个版本运行就可能不正常了.为了在低版本中可以使用高版本的新特性 ...
- python 使用__future__
Python的每个新版本都会增加一些新的功能,或者对原来的功能作一些改动.有些改动是不兼容旧版本的,也就是在当前版本运行正常的代码,到下一个版本运行就可能不正常了. 从Python 2.7到Pytho ...
- python使用__future__
Python的新版本会引入新的功能,但是,实际上这些功能在上一个老版本中就已经存在了.要“试用”某一新的特性,就可以通过导入__future__模块的某些功能来实现. 例如,Python 2.7的整数 ...
- Python进阶之模块与包
模块 .note-content {font-family: "Helvetica Neue",Arial,"Hiragino Sans GB","S ...
- Python进阶之模块
在计算机程序的开发过程中,随着程序代码越写越多,在一个文件里代码就会越来越长,越来越不容易维护. 为了编写可维护的代码,我们把很多函数分组,分别放到不同的文件里,这样,每个文件包含的代码就相对较少,很 ...
- __future__模块
Python提供了__future__模块,把下一个新版本的特性导入到当前版本,于是我们就可以在当前版本中使用一些新版本的特性,比如除法: 在Python 2.x中,对于除法有两种情况,如果是整数相除 ...
- 关于python 的 __future__
经常看到__future__: from __future__ import absolute_importfrom __future__ import print_functionfrom __fu ...
- python之platform模块
python之platform模块 ^_^第三个模块从天而降喽!! 函数列表 platform.system() 获取操作系统类型,windows.linux等 platform.platform() ...
随机推荐
- mysql初始化/usr/local/mysql/bin/mysqld: error while loading shared libraries: libnuma.so.1: cannot open shared object file: No such file or directory
[root@test153 ~]# /usr/local/mysql/bin/mysqld --initialize --user=mysql --basedir=/usr/local/mysql - ...
- C#后台架构师成长之路-Orm篇体系
成为了高工,只是完成体系的熟练,这个时候就要学会啃一些框架了... 常用Orm底层框架的熟悉: 1.轻量泛型的DBHelper,一般高工都自己写的出来的 2.EF-基于Linq的,好好用 3.Keel ...
- Linux 目录管理的相关命令
mkdir,rmdir 创建目录mkdir -p:当上级目录不存在时,自动创建上级目录 -v:显示创建过程 $ mkdir -pv /tmp/x/y/z/ mkdir: created directo ...
- LVS的工作模式介绍和NAT模式&DR模式实验步骤
一:LVS介绍 二.LVS的NAT和DR模式的实验及配置步骤 一.LVS的简单介绍 linux virtual server 简单来讲lvs是一段内核代码 类似于netfilter本身是一框架但不提供 ...
- 011.MongoDB性能监控
一 MongoDB 监控 1.1 监控概述 MongoDB自带了mongostat 和 mongotop 这两个命令来监控MongoDB的运行情况.这两个命令用于处理MongoDB数据库变慢等等问题非 ...
- ABC135记录
date: 2019-07-28 A - Harmony 题目大意: 给你两个不同的整数A和B,要求你找到一个整数K,同时满足|A-K|=|B-K|.找不到时,输出"IMPOSSIBLE&q ...
- 20182320《Program Design and Data Structures》Learning Summary Week9
20182320<Program Design and Data Structures>Learning Summary Week9 1.Summary of Textbook's Con ...
- MySQL数据库解决大数据量存储问题
转载自:https://www.cnblogs.com/ryanzheng/p/8334915.html 提问:如何设计或优化千万级别的大表?此外无其他信息,个人觉得这个话题有点范,就只好简单说下该如 ...
- 新版Notepad++加十六进制查看的插件HexEditor
Notepad++新版虽然去掉了在线插件商店功能,但是依然可以使用自定义插件 Notepad++下载地址 腾讯(请务必点普通下载):https://pc.qq.com/detail/0/detail_ ...
- requeests模块请求常用参数的写法整理
主要是针对写法 一.requests.get requests.get是调用了requests.request('get', url, params=params, **kwargs) 1.url 协 ...