Python替代編譯器Nuitka發布0.5.16穩定版

jopen 9年前發布 | 6K 次閱讀 Python
 

11月11日,Nuitka開發團隊通過博客,發布了最新的穩定版本。

據介紹,這次主要是維護版本發布,主要是改進對新平臺的支持,并進行部分修正。該版本會提升獨立模式下的運行速度,以及部分使用場景下的編譯效率。

Bug修復

  • Python: Fix, the gi_running attribute of generators is no longer an int, but bool instead.

  • Python3: Fix, the int built-in with two arguments, value and base, raised UnicodeDecodeError instead of ValueError for illegal bytes given as value.

  • Python3: Using tokenize.open to read source code, instead of reading manually and decoding from tokenize.detect_encoding, this handles corner cases more compatible.

  • Fix, the PyLint warnings plug-in could crash in some cases, make sure it's more robust.

  • Windows: Fix, the combination of AnaConda Python, MinGW 64 bits and mere acceleration was not working. Issue#254.

  • Standalone: Preserve not only namespace packages created by .pth files, but also make the imports done by them. This makes it more compatible with uses of it in Fedora 22.

  • Standalone: The extension modules could be duplicated, turned this into an error and cache finding them during compile time and during early import resolution to avoid duplication.

  • Standalone: Handle "not found" from ldd output, on some systems not all the libraries wanted are accessible for every library.

  • Python3.5: Fixed support for namespace packages, these were not yet working for that version yet.

  • Python3.5: Fixes lack of support for unpacking in normal tuple, list, and set creations.

更多Bug修復信息和此次更新的其他情況,請查看 官方網站

什么是Nuitka?

Nuitka 是一個Python的替代品,支持 CPython 提供的代碼,可翻譯 Python 代碼到 C++ 程序,并使用 libpython 來執行這些代碼,就像 CPython 一樣。兼容 Python 2.6, 2.7, 3.2, 3.3 ,3.4和3.5。一些團隊正用它做完全的Python編譯工具,并嘗試將Python代碼轉譯為其它可高速運行的編程語言。

從反饋情況來看,Nuitka編譯后的Python程序雖然可移植性降低,但是同時也減少了一些開銷,對提升Python程序的效率有一定效果。

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