Updating AVNI

If you want to update AVNI to a newer version, there are a few different options, depending on how you originally installed it.

Warning

Before performing package upgrade operations, check to make sure that the environment you wish to modify has been activated (and if not, call conda activate name_of_environment first).

Upgrading AVNI only

If you wish to update AVNI only and leave other packages in their current state, you can usually safely do this with pip, even if you originally installed via conda. With the avni environment active, do:

$ pip install -U avni

Upgrading all packages

Generally speaking, if you want to upgrade your whole software stack including all the dependencies, the best approach is to re-create it as a new virtual environment, because neither conda nor pip are fool-proof at making sure all packages remain compatible with one another during upgrades.

Here we’ll demonstrate renaming the old environment first, as a safety measure. We’ll assume that the existing environment is called avni and you want to rename the old one so that the new, upgraded environment can be called avni instead. Unfortunately conda doesn’t have a “rename” command so we’ll first clone the old one with a new name (old_avni), then delete the original, then create the new, updated environment re-using the original name. In the first step we’ll also use conda in --offline mode so that it uses cached copies of all the packages instead of re-downloading them.

$ conda create --name old_avni --clone avni --offline  # copy with new name,
$ conda env remove --name avni --all                  # remove original, $
conda create --name avni --channel conda-forge avni  # replace with updated

Note

If you installed extra packages into your old avni environment, you’ll need to repeat that process after re-creating the updated environment. Comparing the output of conda list --name old_avni versus conda list --name avni will show you what is missing from the new environment. On Linux, you can automate that comparison like this:

$ diff <(conda list -n avni | cut -d " " -f 1 | sort) <(conda list -n
old_avni | cut -d " " -f 1 | sort) | grep "^>" | cut -d " " -f 2

Upgrading to the development version

Warning

In between releases, function and class APIs can change without warning.

Sometimes, new features or bugfixes become available that are important to your research and you just can’t wait for the next official release of AVNI to start taking advantage of them. In such cases, you can use pip to install the development version of AVNI:

$ pip install -U --no-deps
https://github.com/globalseismology/avni/archive/main.zip