The environment is inconsistent, please check the package plan carefully

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忘了有多久
忘了有多久 2020-11-28 02:29

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         


        
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  • 2020-11-28 02:40

    The command conda install -c anaconda anaconda did the trick for me. For my setup, I need to specify the channel otherwise it would not work. After running the command in the terminal, I was prompted to update a list of packages that was found to be inconsistent. Without this step, I was not able to install or update any packages with conda install <package_name> or conda update <package_name respectively.

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  • 2020-11-28 02:55

    What worked for me was to conda remove <offending_packagename>, conda update --all and then finally conda install <offending_packagename>.

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  • 2020-11-28 02:56

    If the other solutions don't work, reverting the environment can fix this.

    Use conda list --revisions, pick a revision number, and use conda install --revision [#] going back step-by-step until everything works again.

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  • 2020-11-28 02:57

    Given a situation like the following,

    > 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
    

    As mentioned in other answers, the idea is to have some sort of re-installation to occur for the inconsistent packages.

    Thus, with a few copy-&-paste's, you could:

    > 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
    

    (and you would have to repeat for all the packages)


    My “Shortcut”

    Alternatively, cook up an (ugly) one-liner (this should work for Windows as well as other platforms)

    Note: by "ORIGINAL_COMMAND", I'm referring to any command that gives you the error message (without any other side-effects, ideally)

    <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))"
    

    Expanding the above one-liner:

    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
    )
    
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  • I had faced the same problem. Simply running

    conda install anaconda
    

    solved the problem for me.

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  • 2020-11-28 03:01

    saw this on Google Groups

    This message was added in conda 4.6.9, previously there was no indication when conda detected an inconsistent environment unless conda was run in debug mode. It is likely that your environment was inconsistent for some time but the upgrade to conda made it visible. The best option it to run "conda install package_name" for the inconsistent packages to let conda try to restore consistency.

    and it really works for me.

    Maybe you should try conda install anaconda in your situation.

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