atlas-object-partitioning 1.0.0

Object partitioning package.

Object Partitioning

A Python package to help understand partitioning by objects. Works only on ATLAS xAOD format files (PHYS, PHYSLITE, etc.).

Writes a parquet file with per-event data.

Installation

Install via pip:

pip install atlas-object-partitioning

Install via uv:

• If you don't have the uv tool installed, it is highly recommended as a way to quickly install local versions of the code without having to build custom environments, etc.

Install locally so always available:

uv tool install atlas-object-partitioning
atlas-object-partitioning --help

Update it to the most recent version with uv tool upgrade atlas-object-partitioning.

Or running it in an ephemeral environment:

uvx atlas-object-partitioning --help

Or install from source:

git clone https://github.com/yourusername/atlas-object-partitioning.git
cd atlas-object-partitioning
pip install .

Usage

You'll need a servicex.yaml file with a valid token to use the ServiceX backend. See here to help you get started.

From the command line.

• Use --help to see all options
• Specify a rucio dataset, for example, tlas-object-partitioning mc23_13p6TeV:mc23_13p6TeV.601237.PhPy8EG_A14_ttbar_hdamp258p75_allhad.deriv.DAOD_PHYSLITE.e8514_s4369_r16083_p6697
• Use the -n option to specify how many files in the dataset to run over. By default 1, specify 0 to run on everything. Some datasets are quite large. Feel free to start the transform, then re-run the same command to have it pick up where it left off. See the dashboard to monitor status.

If you wish, you can also use it as a library:

from atlas_object_partitioning.partition import partition_objects
from atlas_object_partitioning.scan_ds import scan_dataset

# Example: Partition a list of objects
data = [...]  # your data here
partitions = partition_objects(data, num_partitions=4)

# Scan a dataset
results = scan_dataset('object_counts.parquet')

Contributing

Contributions are welcome! Please open issues or pull requests on GitHub.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/my-feature)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature/my-feature)
5. Open a pull request

License

This project is licensed under the terms of the MIT license. See LICENSE.txt for details.