环境不一致，请仔细检查包装计划

Question

我尝试从anaconda更新或安装新软件包，最近，这条消息出现了：

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

我尝试使用conda clean --all然后conda update --all，但它仍然存在。

康达信息

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

Answer 1

我遇到了同样的问题。简单地跑

conda install anaconda

为我解决了这个问题。

Answer 2

在Google Groups看到了这个

此消息是在conda 4.6.9中添加的，之前没有迹象表明conda检测到不一致的环境，除非conda在调试模式下运行。您的环境很可能在一段时间内不一致，但升级到conda使其可见。对于不一致的包运行“conda install package_name”以让conda尝试恢复一致性的最佳选择。

它真的对我有用。

也许你应该在你的情况下尝试conda install anaconda。

Answer 3

不一致是由于包的不同版本及其冲突依赖性引起的。

conda update --all

此命令更新所有软件包，然后conda自行解决不一致问题。

Answer 4

鉴于以下情况，

> conda update -c intel --all
Collecting package metadata: done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - intel/win-64::ipython==6.3.1=py36_3
  - intel/win-64::prompt_toolkit==1.0.15=py36_2
done

正如其他答案中所提到的，我们的想法是为不一致的包发生某种重新installation。

因此，通过一些复制和粘贴，您可以：

> conda install intel/win-64::ipython==6.3.1=py36_3
Collecting package metadata: done
Solving environment: /
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - intel/win-64::ipython==6.3.1=py36_3
  - intel/win-64::prompt_toolkit==1.0.15=py36_2
done

## Package Plan ##

  environment location: c:\conda

  added / updated specs:
    - ipython


The following NEW packages will be INSTALLED:

  jedi               intel/win-64::jedi-0.12.0-py36_2
  parso              intel/win-64::parso-0.2.0-py36_2
  pygments           intel/win-64::pygments-2.2.0-py36_5
  wcwidth            intel/win-64::wcwidth-0.1.7-py36_6


Proceed ([y]/n)? y

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

（你必须重复所有的包裹）

---

我的“捷径”

或者，煮一个（丑陋的）单行（这适用于Windows以及其他平台）

注意：通过“ORIGINAL_COMMAND”，我指的是任何给你错误信息的命令（理想情况下没有任何其他副作用）

<ORIGINAL_COMMAND> 2>&1 | python -c "import sys,re,conda.cli; conda.cli.main('conda','install','-y',*re.findall(r'^\s*-\s*(\S+)$',sys.stdin.read(),re.MULTILINE))"

扩展上述单线程：

from re import findall, MULTILINE
from sys import stdin
from conda.cli import main

main(
    "conda", "install", "-y",
    "--force",  # Maybe add a '--force'/'--force-reinstall' (I didn't add it for the one-liner above)
    *findall(r"^\s*-\s*(\S+)$", stdin.read(), MULTILINE)  # Here are the offenders
)

Answer 5

命令conda install -c anaconda anaconda为我做了伎俩。对于我的设置，我需要指定通道，否则它将无法正常工作。在终端中运行命令后，系统提示我更新发现不一致的软件包列表。如果没有这一步，我无法分别使用conda install <package_name>或conda update <package_name安装或更新任何软件包。