Optimize `merge` algorithm for data sizes equal or greater then 4M items with SLM cache usage #44

	name: oneDPL CI Docs

	on:
	push:
	branches: [main]
	pull_request:
	branches:
	- release_oneDPL
	- main
	- 'release/**'

	permissions: read-all

	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.ref }}
	cancel-in-progress: ${{ !contains(github.ref, 'refs/heads/main') }}

	jobs:
	codespell:
	runs-on: ubuntu-latest
	timeout-minutes: 10
	steps:
	- uses: actions/checkout@v4
	- name: Install prerequisites
	run: \|
	sudo apt update && sudo apt install -y codespell
	- name: Run scan
	run: \|
	${GITHUB_WORKSPACE}/.github/scripts/codespell.sh $(pwd)

	documentation:
	runs-on: ubuntu-latest
	steps:
	- uses: actions/checkout@v4
	- uses: actions/setup-python@v5
	with:
	python-version: '3.x'
	- name: Install prerequisites
	run: \|
	echo GITHUB_SHA_SHORT=${GITHUB_SHA::8} >> $GITHUB_ENV
	python -m pip install -r documentation/library_guide/requirements.txt
	- name: Build documentation
	run: \|
	mkdir html
	sphinx-build -b html documentation/library_guide/ html/
	- name: Archive build directory
	uses: actions/upload-artifact@v4
	with:
	name: onedpl-html-docs-${{ env.GITHUB_SHA_SHORT }}
	path: html

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