Installation

Stable release

To install Argonne AI-Driven Adaptive Sampling System, run this command in your terminal:

$ pip install aidas-atmos

This is the preferred method to install Argonne AI-Driven Adaptive Sampling System, as it will always install the most recent stable release.

If you don’t have pip installed, this Python installation guide can guide you through the process.

From sources

The sources for Argonne AI-Driven Adaptive Sampling System can be downloaded from the Github repo.

You can either clone the public repository:

$ git clone https://github.com/rcjackson/AIDAS.git

Or download the tarball:

$ curl -OJL https://github.com/rcjackson/AIDAS/tarball/main

Once you have a copy of the source, you can install it with:

$ pip install .

Migrating from adam-atmos

Through version 0.5.0 this project was released on PyPI as adam-atmos, under the name ATMOS Analogue Digital Twin (ADAM), and imported as adam. From version 0.6.0 it is released as aidas-atmos and imported as aidas.

PyPI distribution names cannot be renamed in place, so adam-atmos remains a separate project. Its final release, 0.5.1, contains no functionality of its own: it depends on aidas-atmos and forwards import adam to aidas with a DeprecationWarning. Existing code will keep working, but the shim will be removed in a future release.

To migrate:

$ pip uninstall adam-atmos
$ pip install aidas-atmos

and update your imports:

import aidas  # was: import adam

Every module, class and function keeps its name; only the top-level package changed, so adam.io.preprocess_radar_image becomes aidas.io.preprocess_radar_image, and so on.

Releases of adam-atmos up to and including 0.5.0 remain installable from PyPI for reproducibility, but will not receive further updates.