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I've often found that the environment.yml file can't be successfully resolved when users first try out the repository in development mode (rather than installing the Python package directly). See for example sparks-baird/self-driving-lab-demo#164. I tend to keep setup.cfg up-to-date, but I'm not regularly checking environment.yml.
Describe the solution you would like to see for your use-case
It would be nice to add a step to GitHub actions that ensures the environment.yml file can be successfully installed. This could also be a step that only runs when environment.yml gets changed to reduce the overhead.
Alternatively, there could be a note in the README installation section to try:
in case conda create -f environment.yml produces an error, and manually install additional packages from environment.yml as needed (e.g., for running notebooks).
The text was updated successfully, but these errors were encountered:
Describe your use-case
I've often found that the
environment.yml
file can't be successfully resolved when users first try out the repository in development mode (rather than installing the Python package directly). See for example sparks-baird/self-driving-lab-demo#164. I tend to keepsetup.cfg
up-to-date, but I'm not regularly checkingenvironment.yml
.Describe the solution you would like to see for your use-case
It would be nice to add a step to GitHub actions that ensures the
environment.yml
file can be successfully installed. This could also be a step that only runs whenenvironment.yml
gets changed to reduce the overhead.Alternatively, there could be a note in the README installation section to try:
in case
conda create -f environment.yml
produces an error, and manually install additional packages fromenvironment.yml
as needed (e.g., for running notebooks).The text was updated successfully, but these errors were encountered: