Python 分段错误:OSX 上的 11

Python Segmentation fault: 11 on OSX(Python 分段错误:OSX 上的 11)
本文介绍了Python 分段错误:OSX 上的 11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跟版网的小编来一起学习吧!

问题描述

我开始使用 python 进行开发,并尝试了一些简单的命令,例如计算.

Im starting development with python, and tried some simple commands like calculations.

但是,有时 python 会因Segmentation fault:11"而中止在谷歌我没有找到类似的问题或解决方案.

But, some times python aborts with "Segmentation fault:11" In google i didnt find a similar issue or solution for that.

Python 与自制软件一起安装.home-brew doctor 命令不显示 python 安装的任何问题并且是最新的.

Python is installed with homebrew. home-brew doctor command don't show any issues for the python installation and is up to date.

有没有人知道如何解决这个问题?

Have anyone an Idea how to fix this ?

这是 OSX 崩溃日志:http://pastebin.com/rKpPJKxJ

Here is the OSX Crash Log: http://pastebin.com/rKpPJKxJ

推荐答案

嗯...传播这个词.以下似乎修复了它:

Hmmm... spread the word. The following seems that it fixed it:

cd /Library/Frameworks/Python.framework/Versions/3.3 
cd ./lib/python3.3/lib-dynload 
sudo mv readline.so readline.so.disabled 

这篇关于Python 分段错误:OSX 上的 11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跟版网!

本站部分内容来源互联网,如果有图片或者内容侵犯了您的权益,请联系我们,我们会在确认后第一时间进行删除!

相关文档推荐

groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)