CODEWITHSUNDEEP
pythonanacondacondaminiconda
Amethyst
Amethyst

Reputation: 53

Conda UnsatisfiableError with linux64 and glibc

I'm getting an error on all of my miniconda environments. I made a fresh environment just now, and still get the same error:


conda create --name py36 python=3.6 spyder jupyter

^ works fine. Then:


conda install -c conda-forge/label/rc_iris iris

gives the following error:

Solving environment: failed with initial frozen solve. Retrying with flexible solve.

Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.

Collecting package metadata (repodata.json): done

Solving environment: failed with initial frozen solve. Retrying with flexible solve.

Solving environment: -

Found conflicts! Looking for incompatible packages.

This can take several minutes.  Press CTRL-C to abort.

failed


UnsatisfiableError: The following specifications were found to be incompatible with each other:


Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:


  - feature:/linux-64::__glibc==2.17=0

  - feature:|@/linux-64::__glibc==2.17=0


Your installed version is: 2.17

But for some reason, if you create a whole new environment, this works:

conda create --name py36 -c conda-forge iris python=3.6 spyder jupyter

Does anyone know what's going on? How do I ensure this glibc error won't come up when I try to install something else?

Upvotes: 3

Views: 7495

Answers (1)

merv
merv

Reputation: 76820

It's not about GLIBC, rather Conda is simply bad at reporting conflicts. Looking at the package of interest clearly shows it has a python>=3.8 requirement. Since you locked Conda into python=3.6, it cannot solve, and tries to explain why.

If you really are interested in installing that release candidate, you need to do so in an environment with at least Python v3.8.

Upvotes: 6

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