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

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** Conda Fails to Create a new env: stuck at "Executing transaction"**

I am working with a MacOS, BigSur 11.6, and have updated conda and mamba

conda update --all

conda update mamba

and, following guidance from a software installation guide I tried to create a new env:

conda create -n fermi -c conda-forge -c fermi fermitools python=3 clhep=2.4.4.1

Also tried with the dev version:

conda create -n fermi-2.0.24 -c conda-forge -c fermi/label/dev fermitools=2.0.24

and with mamba

mamba create -n fermi -c conda-forge -c fermi fermitools python=3 clhep=2.4.4.1

All trials get stuck in " executing transaction \ " (> 1h)

when hitting ctrl+c, all trials show the same error msg:

" ERROR conda.core.link:_execute(699): An error occurred while installing package 'conda-forge::gdk-pixbuf-2.42.6-h2e6141f_0'. " " Rolling back transaction: done "

my uname -v:

Darwin Kernel Version 20.6.0: Mon Aug 30 06:12:21 PDT 2021; root:xnu-7195.141.6~3/RELEASE_X86_64

my conda --version

conda 4.10.3

There seems to be a long standing discussion about similar issues here. Some argue that hitting "enter" solved the problem after " executing transaction \ " was running for a long time. It would be great, but did not worked.

The issue #6986 seems to persist and it is not clear how to deal with it.

Any ideas on how to approach this? Thank you in advance!

7

2 Answers

Looking for resources on the error " Solving environment: failed with current_repodata.json, will retry with next repodata source. "

Then, reading: link1 , link2 , link3 (check the comment from "glass-ships") , link4

It seems the following can help:

conda update conda -c conda-canary

conda config --set channel_priority false

conda create --name your_env_name

conda activate your_env_name

conda install XXXXXX

then conda activate your_env_name and the tool is working just fine.

2

This is what worked for me. Set the conda channel_priority to flexible in the conda configuration

conda config --set channel_priority flexible

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