克服 Python 关于实例方法的限制

Overcoming Python#39;s limitations regarding instance methods(克服 Python 关于实例方法的限制)
本文介绍了克服 Python 关于实例方法的限制的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

似乎 Python 在实例方法方面有一些限制.

It seems that Python has some limitations regarding instance methods.

  1. 无法复制实例方法.
  2. 实例方法不能被pickle.

这对我来说是个问题,因为我在一个非常面向对象的项目中工作,我在其中引用了实例方法,并且使用深度复制和酸洗.酸洗的事情主要是由多处理机制来完成的.

This is problematic for me, because I work on a very object-oriented project in which I reference instance methods, and there's use of both deepcopying and pickling. The pickling thing is done mostly by the multiprocessing mechanism.

什么是解决这个问题的好方法?我对复制问题做了一些丑陋的解决方法,但是我正在为这两个问题寻找更好的解决方案.

What would be a good way to solve this? I did some ugly workaround to the copying issue, but I'm looking for a nicer solution to both problems.

有人有什么建议吗?

更新:

我的用例:我有一个很小的事件系统.每个事件都有一个 .action 属性,该属性指向它应该触发的函数,有时该函数是某个对象的实例方法.

My use case: I have a tiny event system. Each event has an .action attribute that points to a function it's supposed to trigger, and sometimes that function is an instance method of some object.

推荐答案

您也许可以使用 copy_reg.pickle.在 Python 2.6 中:

You might be able to do this using copy_reg.pickle. In Python 2.6:

import copy_reg
import types

def reduce_method(m):
    return (getattr, (m.__self__, m.__func__.__name__))

copy_reg.pickle(types.MethodType, reduce_method)

这不存储方法的代码,只是它的名字;但这在常见情况下可以正常工作.

This does not store the code of the method, just its name; but that will work correctly in the common case.

这使得酸洗和复制都可以工作!

This makes both pickling and copying work!

这篇关于克服 Python 关于实例方法的限制的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持编程学习网!

本站部分内容来源互联网,如果有图片或者内容侵犯您的权益请联系我们删除!

相关文档推荐

Leetcode 234: Palindrome LinkedList(Leetcode 234:回文链接列表)
How do I read an Excel file directly from Dropbox#39;s API using pandas.read_excel()?(如何使用PANDAS.READ_EXCEL()直接从Dropbox的API读取Excel文件?)
subprocess.Popen tries to write to nonexistent pipe(子进程。打开尝试写入不存在的管道)
I want to realize Popen-code from Windows to Linux:(我想实现从Windows到Linux的POpen-code:)
Reading stdout from a subprocess in real time(实时读取子进程中的标准输出)
How to call type safely on a random file in Python?(如何在Python中安全地调用随机文件上的类型?)