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I had a bit of trouble building the environment (on windows). I suspect it was due to large amount of packages with quite a few dependencies themselves. I resolved the issue by letting conda do the heavy lifting of managing the package and only using pip for the packages that didn't exist on either anaconda or conda-forge. The YAML is as follows:
I have just tried to reproduce here on my Linux machine, but can't get any errors. With a standard mini-conda installation, I can execute the command below and get the environment that I tested with the notebooks in this repo and it works fine.
Thank you for the cool repo.
I had a bit of trouble building the environment (on windows). I suspect it was due to large amount of packages with quite a few dependencies themselves. I resolved the issue by letting conda do the heavy lifting of managing the package and only using pip for the packages that didn't exist on either anaconda or conda-forge. The YAML is as follows:
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