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Updated Conda Packaging for 1.2 Release / Python 3.8 #329

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deemishra opened this issue Feb 3, 2022 · 2 comments
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Updated Conda Packaging for 1.2 Release / Python 3.8 #329

deemishra opened this issue Feb 3, 2022 · 2 comments

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@deemishra
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Thank you for your bug report!

Please fill out the following template.

PLATFORM (Mac, PC, Linux, other): Mac and Linux

OPERATING SYSTEM (eg OSX 10.7, Windows 8.1): OS 11.6.1 on Mac, Ubuntu 18.05 w/ Jupyter Hub [For BioCEL]

SEVERITY (Critical? Major? Minor? Enhancement?): Critical to Just An Enhancement

DESCRIPTION:

Working on moving from using the GUI to Jupyter Notebooks for BioCEL and built out a Jupyter Hub on AWS which is happily doing well. The PIP install failed spectacularly and the 'sudo -E conda install -c bpteague cytoflow' has been fighting me with a package not found.

Working on my fresh Mac environment -- tried to install cytoflow and it is able to be found but throws following installation error. I imagine the new releases have also updated Python dependencies and pushing a new Conda package would be great!


conda install -c bpteague cytoflow
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 the existing python installation in your environment:

Specifications:

  • cytoflow -> python[version='3.5.4|3.6.7']

Your python: python=3.8


Don't forget to attach the log file to this bug report!

If you are having trouble with a particular FCS file, please attach that file too.

@deemishra
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P.S. I am in the process of creating a new conda environment for old python as I know this is the easiest workaround in the interim. =)

@deemishra
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Jupyter-Hub has some weird dependencies but all is fine, now. BioCEL -- assemble!

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