feat: batched sampling for vectorized MCMC (#1176) #58

	name: Continuous Deployment

	on:
	push:
	branches: [main]
	workflow_dispatch:

	defaults:
	run:
	shell: bash

	concurrency:
	group: ${{ github.workflow }}-${{ github.head_ref \|\| github.ref }}
	cancel-in-progress: true

	jobs:
	cd:
	name: CD
	runs-on: ubuntu-latest

	steps:
	- name: Checkout
	uses: actions/checkout@v4
	with:
	fetch-depth: 0
	lfs: false

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.8'

	- name: Cache dependency
	id: cache-dependencies
	uses: actions/cache@v4
	with:
	path: ~/.cache/pip
	key: ${{ runner.os }}-pip

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -e .[dev]

	- name: Run the fast and the slow CPU tests with coverage
	run: \|
	pytest -v -x -n auto -m "not gpu" --cov=sbi --cov-report=xml tests/

	- name: Upload coverage to Codecov
	uses: codecov/codecov-action@v4-beta
	with:
	env_vars: OS,PYTHON
	file: ./coverage.xml
	flags: unittests
	name: codecov-sbi-all-cpu
	token: ${{ secrets.CODECOV_TOKEN }}

	- name: Check doc building
	run: \|
	jupyter nbconvert --to markdown tutorials/*.ipynb --output-dir docs/tutorial/
	jupyter nbconvert --to markdown examples/*.ipynb --output-dir docs/examples/
	mkdocs build -f docs/mkdocs.yml --site-dir site

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