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0.0.7

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abcd-pyhf

pyhf implementation of the ABCD method for background estimation

Published21 Jan 2025

Direct dependencies5

Transitive dependenciesNot calculated

README

Version 0.0.7 documentation

pyhf-based implementation of the ABCD method for background estimation

Instructions for LXPLUS

The code can be run on LXPLUS by following the instructions below.

Create a virtual Python environment:

python3 -m venv abcd-pyhf

This will create a directory named abcd-pyhf that will contain all the necessary packages to run the code. Activate the virtual Python environment with the following command:

source abcd-pyhf/bin/activate

You can shut down the virtual Python environment at any time with the Bash command deactivate. You can later reactivate the environment by running the Bash command source abcd-pyhf/bin/activate.

To run the code, you will have to download the necessary packages in the Python environment (this only needs to be done once):

pip install --upgrade pip
pip install abcd-pyhf

You can then use the package in Python:

from abcd_pyhf import ABCD

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Declared dependencies 5

Native requirements

5 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
numpy Environment { "extras": "", "marker": null, "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`numpy`	runtime
matplotlib Environment { "extras": "", "marker": null, "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`matplotlib`	runtime
pyhf Environment { "extras": "contrib,minuit", "marker": null, "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`pyhf[contrib,minuit]>=0.7`	runtime
flake8 Environment { "extras": "", "marker": "extra == \"test\"", "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`flake8; extra == "test"`	runtime
pytest Environment { "extras": "", "marker": "extra == \"test\"", "requires_python": ">=3.8", "evaluation": "NOT_EVALUATED" }	`pytest; extra == "test"`	runtime