Pyomo and PAO + Streamlit (solver packages)

[edsaac]

It’s probably the same issue as this other post,

Error when deploying using a conda environment.yml

I’m trying to build an environment using conda because there is this package that is only available from one of their channels (Installation — pyGIMLi - Geophysical Inversion and Modelling Library). It works fine locally, so I just exported the environment with conda env export > environment.yml and putting that file in the repo (GitHub - edsaac/groundwater_course: Groundwater course + streamlit). However, it gets stuck with the following error: # To activate this environment, use # # $ con…

Apparently, the community cloud fails when you try to do anything with conda that exceeds the memory allocation, which looks to be always the case if you add conda-forge in the list of channels. This was just a hypothesis though, I haven’t seen this issue confirmed from the cloud team.