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cellgeni / sceasy

A package to help convert different single-cell data formats to each other
GNU General Public License v3.0
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Can't install sceasy with Conda #36

Open aghr opened 3 years ago

aghr commented 3 years ago

Dear sceasy Team, I can't get sceasy installed within a Conda environment. Creating a bare new Conda environment I'm getting the output listed below which misses concrete infos on the reported UnsatisfiableError. Same issues when I first install r-base=3.6 or r-base3.7 or r-base=4.1. Could you please give more detailed infos on how to install sceasy within a Conda environment and check yourself if that installation is working. From the behavior I see, I would think there could be an issue with the Conda rule for installing sceasy that your team had contributed to Anaconda. Many thanks. Andre

======================= conda install -c bioconda r-sceasy Collecting package metadata (current_repodata.json): done 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 versions

VicenteFR commented 3 years ago

Thanks for reporting this issue @aghr! I'm having the exact same issue. May you please help us get through this error, sceasy team?

Thanks, Vicente

AAA-3 commented 2 years ago

Also struggling with this

gjhuizing commented 2 years ago

Hi, have you found a fix for this ?

colinmcgovern commented 2 years ago

Hello I also had this issue. Sometimes if you wait for several minutes after you get the "frozen solve" issue conda will find a source that works. The following is an example of that:

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: done

One common fix that worked for a lot of people is the following conda config --set channel_priority false conda update --all --yes conda install -c bioconda r-sceasy