pip install stanza报错Failed to build tokenizers

最新推荐文章于 2025-03-10 22:16:22 发布

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最新推荐文章于 2025-03-10 22:16:22 发布

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分类专栏： python 文章标签： pip rust python

本文链接：https://blog.youkuaiyun.com/muxi5/article/details/126582285

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1.在安装text_mining_tools时候需要安装stanza模块时出现的问题

1.开始使用了python3.5,发现无法调用stanza，查阅得知，stanza不支持3.6以下版本（stanza无download模块）

2.使用python3.6进行安装

pip install stanza -i https://pypi.tuna.tsinghua.edu.cn/simple/

使用报错信息为：

  running build_rust
  error: can't find Rust compiler

  If you are using an outdated pip version, it is possible a prebuilt wheel is available for this package but pip is not able to install from it. Installing from the wheel would avoid the need for a Rust compiler.

  To update pip, run:

      pip install --upgrade pip

  and then retry package installation.

  If you did intend to build this package from source, try installing a Rust compiler from your system package manager and ensure it is on the PATH during installation. Alternatively, rustup (available at https://rustup.rs) is the recommended way to download and update the Rust compiler toolchain.
  ----------------------------------------
  ERROR: Failed building wheel for tokenizers
Failed to build tokenizers
ERROR: Could not build wheels for tokenizers, which is required to install pyproject.toml-based projects

通过上面报错信息：给出了两条解决方案，
1.为安装rust
2.为更新pip
通过

easy_install pip

更新，发现pip版本已经最新，无法更新
则去重新安装rust，后发现cmd无法调用rust，不知道是配置原因还是啥

最后是更新了python版本更新为3.7解决了这个问题。

import stanza
stanza.download('en')

2.期间出现过的问题

Script file 'G:\Anaconda\envs\py36\Scripts\pip-script.py' is not present.

报错，我是用过curl

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

再更新pip解决的，其中-o xxx.py,为保存源文件

2.当python文件版本不对，可以直接使用anaconda构建虚拟环境

conda create -n xxx python=3.7
conda info --envs
activate xxx
##如果想升级anaconda原环境版本
conda install python=3.8

3.当安装pip时，出现多个版本pip
报错：

WARNING: Ignoring invalid distribution -ip（地址）

解决方案：删除地址中~开头的文件

https://blog.youkuaiyun.com/weixin_43848614/article/details/118426100

国内源：

清华：https://pypi.tuna.tsinghua.edu.cn/simple/
豆瓣：https://pypi.douban.com/simple
阿里：https://mirrors.aliyun.com/pypi/simple