Home Backend Development Python Tutorial python中from module import * 的一个坑

python中from module import * 的一个坑

Jun 16, 2016 am 08:43 AM
import python

但还有另外一个问题 - 你以为你修改了某个变量,其实,被from module import *后的那个并没有被更新,非常危险,因为程序有可能还可以正常运行, 只不过结果错了,到了production才被发现就比较惨了。

举个例子:

你定义了一些变量在base模块中:

# reference data type
class Demo:
 def __init__(self, name):
  self.name = name
demo = Demo('Demo')

# primitive type
foo = 1
Copy after login

然后在一个模块中用from module import 的方式读它:

from base import *
def read():
    print 'reference data id: ' + str(id(demo))
    print 'reference data value : ' + demo.name

    print 'primitive data id: ' + str(id(foo))
    print 'primitive data value: ' + str(foo)
Copy after login

在另外一个模块中写它:

import base

def write():
 print "\nOriginal:"
 print "Original reference data id: " + str(id(base.demo))
 base.demo.name = "Updated Demo" # this will reflect that change
 #base.demo = base.Demo("Updated Demo") # this won't relfect the change
 print "Original data id: " + str(id(base.foo))
 base.foo = 1000
 print "Original data id after assignment: " + str(id(base.foo))
Copy after login

然后先写,后读,看写的内容是否有效:

import read
import write

print "before write"
read.read()

write.write()

print "\nafter write"
read.read()
Copy after login

结论是没有,原因是:

当你用from module import时,其实是copy了一份reference或者pointer,指向一份内存,var和module.var都指向同一份内存
当你修改module.var时,其实你是让它指向了另外一份内存,此时var和module.var指向的是不同的内存
所以,虽然module.var的值变了,var还是指向原来那份内存,原来的值
这个对于object,比较容易理解,你可以直接修改object里的值,这个是有效的,但是当你指向另外一个object时就无效了。 对于primitive类型来讲,其实也是一个道理,因为每次赋值,都是让其指向一个不同的内存地址,而不是inplace修改已有的那份内存 - 这个很容易验证:

In [1]: a = 10

In [2]: id(a)
Out[2]: 20429204

In [3]: a = 100

In [4]: id(a)
Out[4]: 20430108
Copy after login

所以,建议是除非是一个quick and dirty的脚本,否则不要使用from module import *!

例子: https://github.com/baiyanhuang/blog/tree/master/arena/python/from_module_import

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1666
14
PHP Tutorial
1273
29
C# Tutorial
1252
24
PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

See all articles