环境不一致，请仔细检查包装图 [英] The environment is inconsistent, please check the package plan carefully

问题描述

我试图从anaconda更新或安装新软件包，最近，此消息出现了:

I tried to update or install new packages from anaconda and lately, this message has appeared:

The environment is inconsistent, please check the package plan carefully
The following package are causing the inconsistency:

   - defaults/win-32::anaconda==5.3.1=py37_0

done

我尝试过使用conda clean --all，然后使用conda update --all，但是它仍然存在.

I tried with conda clean --all and then conda update --all but it persists.

Conda信息

active environment : base
    active env location : C:\Users\NAME\Continuum
            shell level : 1
       user config file : C:\Users\NAME\.condarc
 populated config files : C:\Users\NAME\.condarc
          conda version : 4.6.11
    conda-build version : 3.17.7
         python version : 3.7.3.final.0
       base environment : C:\Users\NAME\Continuum  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/win-32
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/free/win-32
                          https://repo.anaconda.com/pkgs/free/noarch
                          https://repo.anaconda.com/pkgs/r/win-32
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-32
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\NAME\Continuum\pkgs
                          C:\Users\NAME\.conda\pkgs
                          C:\Users\NAME\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\NAME\Continuum\envs
                          C:\Users\NAME\.conda\envs
                          C:\Users\NAME\AppData\Local\conda\conda\envs
               platform : win-32
             user-agent : conda/4.6.11 requests/2.21.0 CPython/3.7.3 Windows/10 Windows/10.0.17763
          administrator : False
             netrc file : None
           offline mode : False

推荐答案

我遇到了同样的问题.只需运行

I had faced the same problem. Simply running

conda install anaconda

为我解决了这个问题.

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