很久以前，我删除了包含内置 Mac OS X Python 安装的 2.6 目录，现在我需要将其恢复。如何重新编译 Python 并将其安装到原始位置？
诸如 Fink、brew 和 MacPorts 都是我所知道的的，但如果他们能够解决我的问题，我不知道如何以这种方式使用它们。我需要将安装安装在原始位置（/System/Library/Frameworks/Python.framework/Versions）并像原来一样工作。
Quite a while back I deleted the 2.6 directory that contained the built in Mac OS X Python install, and now I am in need of having it back. How might one go about re-compiling and installing Python to the original location?
Solutions like Fink, brew, and MacPorts are all things I'm aware of, but if they are capable of solving my problem I don't know how to use them in that fashion. I need the install to be in the original location (/System/Library/Frameworks/Python.framework/Versions) and to work as it originally did.
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最简单的解决方案是在现有安装上重新安装 OS X 10.6。正如评论中所指出的，构建 Apple 提供的 Python 系统的精确副本是不切实际的，因为有大量的 Apple tweeks，尽管其中许多是由 Apple 此处（您可以深入了解特定的 OS X 版本，并找到其中包含的开源组件以及 Apple 提供的补丁）。但 OS X 安装程序可以轻松且万无一失地重新安装所有 OS X，而不会影响主目录中的文件或大多数记录的自定义项。如果您对
/System/Library或/usr（/usr/local除外）中的文件进行了其他更改或删除，那么一切都将失败。 >);正如您所了解到的，不要这样做！与往常一样，在开始之前对硬盘进行完整备份是明智的做法。重新安装不会超过几个小时，这比尝试从源代码重新创建系统 Python 要少得多。The simplest solution is to reinstall OS X 10.6 over your existing installation. As noted in the comments, it's not practical to build an exact duplicate of the Apple-supplied system Python because of the numerous Apple tweeks although many of them are published by Apple here (you can drill down to a particular OS X release and find the open source components that went into it along with the Apple-supplied patches). But the OS X installer makes it easy and generally foolproof to reinstall all of OS X without affecting files in your home directories or most documented customizations. All bets are off if you've made other changes or deletions to files in
/System/Libraryor/usr(other than/usr/local); as you've learned, don't do that! As always, it is prudent to do a full backup of your hard drive before you begin. A reinstall shouldn't take more than a couple of hours which will be a lot less time than trying to recreate the system Python from source.