Skip to main content

Plotting API for HEP flavour tagging plots.

Project description

puma - Plotting UMami Api

Code style: black Umami docs PyPI version DOI

Testing workflow Linting workflow Pages workflow Docker build workflow

The Python package puma provides a plotting API for commonly used plots in flavour tagging.

ROC curves Histogram plots Variable vs efficiency

Installation

The puma package is currently under construction. It can be installed from PyPI or using the latest code from this repository.

Install latest release from PyPI

pip install puma-hep

The installation from PyPI only allows to install tagged releases, meaning you can not install the latest code from this repo using the above command. If you just want to use a stable release of puma, this is the way to go.

Install latest version from GitHub

pip install https://github.com/umami-hep/puma/archive/main.tar.gz

This will install the latest version of puma, i.e. the current version from the main branch (no matter if it is a release/tagged commit). If you plan on contributing to puma and/or want the latest version possible, this is what you want.

Docker images

The Docker images are built on GitHub and contain the latest version from the main branch.

The container registry with all available tags can be found here.

The puma:latest image is based on python:3.8-slim and is meant for users who want to use the latest version of puma. For each release, there is a corresponding tagged image. You can start an interactive shell in a container with your current working directory mounted into the container by using one of the commands provided below.

On a machine with Docker installed:

docker run -it --rm -v $PWD:/puma_container -w /puma_container gitlab-registry.cern.ch/atlas-flavor-tagging-tools/training-images/puma-images/puma:latest bash

On a machine/cluster with singularity installed:

singularity shell -B $PWD docker://gitlab-registry.cern.ch/atlas-flavor-tagging-tools/training-images/puma-images/puma:latest

Extended image for development

For development, just replace the tag of the image:

latest -> latest-dev

In addition to the minimal requirements that are required to use puma, the puma:latest-dev image has the requirements.txt from the puma repo installed as well. This means that packages like pytest, black, pylint, etc. are installed as well. However, note that puma itself is not installed in that image such that the dev-version on your machine can be used/tested.

The images are automatically updated via GitHub and pushed to this repository registry.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

puma-hep-0.1.3.tar.gz (36.8 kB view details)

Uploaded Source

Built Distribution

puma_hep-0.1.3-py3-none-any.whl (40.0 kB view details)

Uploaded Python 3

File details

Details for the file puma-hep-0.1.3.tar.gz.

File metadata

  • Download URL: puma-hep-0.1.3.tar.gz
  • Upload date:
  • Size: 36.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.13

File hashes

Hashes for puma-hep-0.1.3.tar.gz
Algorithm Hash digest
SHA256 74036c701193d42b8602a3c439839bea864a94b0012603c0ea5e4972c3b3adaf
MD5 2cf3aec35d0a1f7c070200c97603c765
BLAKE2b-256 9bbf19c3df6ea57ae0d30cf20262b87c4043efdd6d4a308617dada7124a8b3b2

See more details on using hashes here.

File details

Details for the file puma_hep-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: puma_hep-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 40.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.13

File hashes

Hashes for puma_hep-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d0f301f8aaccf361c463dce8e39c414eceb70293766eabd299aef62eb70c6fe1
MD5 4cd9daaf3bc7b079dbc49baabb67ee79
BLAKE2b-256 8955fef993f5eeca190d3a7a4ed2dc26f5db87466d8839531a194387e7a58432

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page