Implement zero inflated negative binomial likelihood (ZINB) for HBR #398

	# This configuration does the following:

	# It runs the tests when code is pushed to dev branch and
	# when a pull request to dev is created.
	# It sets up a Python environment, installs project dependencies, and runs pytest.
	# Test results are uploaded as artifacts for later examination.

	name: testing

	on:
	push:
	branches:
	- dev
	pull_request:
	branches:
	- dev
	jobs:
	build:
	runs-on: ubuntu-latest
	steps:
	- name: Checkout Repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.12'

	- name: Install Dependencies
	run: \| # Install the project dependencies, including pytest-html for generating test reports in the next steps.
	pip install -e ".[dev]"
	pip install pytest-html

	- name: Run Tests with coverage and save report
	run: \|
	coverage run -m pytest test/ --junitxml=report.xml --html=report.html
	coverage xml -o coverage.xml
	continue-on-error: true # Continue to the next step even if tests fail

	- name: Upload HTML Report
	uses: actions/upload-artifact@v4
	with:
	name: test-report-html
	path: report.html

	- name: Upload XML Report
	uses: actions/upload-artifact@v4
	with:
	name: test-report-xml
	path: report.xml

	- name: Upload Coverage Report
	uses: actions/upload-artifact@v4
	with:
	name: coverage-report
	path: coverage.xml

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