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install via mamba failing #2050
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So this could be due to conda changing which GSL is present, leading to trying to link to the wrong version. To fix that, we need to bump the recipe, forcing a rebuild. A short-term fix for you will be to install msprime via pip. Using pip will solve this problem because the pre-built "wheel" contains the expected version of GSL. |
Easy enough, thanks! Should I close the issue or let someone else close it when the recipe is bumped? |
I think we should leave it open -- it is nice to have the conda builds actually working. |
Thanks for the report @silastittes, this is helpful. Have we any other conda users that could reproduce this? |
Trying it now @jeromekelleher in a fresh user account. |
Worked fine on Pop OS 22.04 with a brand-new miniconda/Py3.9 environment and an env built using the YAML file shown above. This may be a case of "delete all your conda and install the new miniconda"?
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Interesting! I'll give that a try and reply asap. |
Without reinstalling conda, using |
Okay, I ignored the mamba thing b/c I'd never heard of it before. |
Mamba is nice as it tends to build environments much faster than conda. First time I've encountered a problem with it. I'll close this as it seems to be entirely a mamba issue. |
Thanks for the help! |
Aha - anyone else hitting issues with mamba? Maybe there's some other magic conda stuff we need to provide so mamba pulls the right GSL? |
Possibly related:
It seems that mamba uses a database to cache dependency information, which is presumably where any speed ups come from. But it looks like things are going wrong occasionally. |
I mostly use |
Hi there!
Attempting to install msprime via conda is giving me the following:
Attempting to install from the following .yml file
Next commands are:
Installing instead via
pip install msprime
works without issue.Linux distribution details:
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