HEPData pyhf extractor

Python package to extract and summarize information from the pyhf submissions.

About

This package aims to define the post-submission computations to summarize the information that pyhf submissions hold. Its evolution is coupled with the hepdata-pyhf-visualizer JS package, as this one renders what gets summarized by this component.

Installation

Via pip:

pip install hepdata-pyhf-extractor

Via GitHub (for developers):

git clone https://github.com/HEPData/hepdata-pyhf-extractor
cd hepdata-pyhf-extractor
pip install ".[dev]"

Usage

To extract basic information out of a pyhf Pallet file, the summarizers can:

A) Receive a Pallet file path for them to open and read it internally.

from pyhf_extractor import V1PalletSummarizer

# The provided file can be either .json.gz or .json
pallet_path = "example_pallet.json.gz"
pallet_path = "example_pallet.json"

summarizer = V1PalletSummarizer(pallet_path=pallet_path)
summary = summarizer.summarize()

B) Receive an already parsed Pallet file:

import gzip
import json
from pyhf_extractor import V1PalletSummarizer

pallet_path = "example_pallet.json.gz"

with gzip.open(pallet_path) as file:
    pallet_data = json.load(file)           

summarizer = V1PalletSummarizer(pallet_data=pallet_data)
summary = summarizer.summarize()

Development

The package uses Black, in addition to pre-commit to control its style.

To install the pre-commit hook:

pre-commit install

To check for style inconsistencies:

make check

Testing

The package uses pytest to run all the tests:

make test

Release version

To bump and tag a particular commit to mark a release:

# Any of the following options
make tag-major
make tag-minor
make tag-patch