Implement benchmarks for broadcasting QO types #2

	name: Performance tracking
	on:
	pull_request:

	env:
	PYTHON: ~

	jobs:
	performance-tracking:
	runs-on: ubuntu-latest
	#runs-on: self-hosted
	steps:
	# setup
	- uses: actions/checkout@v4
	- uses: julia-actions/setup-julia@latest
	with:
	version: '1.10'
	- uses: julia-actions/julia-buildpkg@latest
	- name: install dependencies
	run: julia -e 'using Pkg; pkg"add PkgBenchmark BenchmarkCI@0.1"'

	# run the benchmark suite
	- name: run benchmarks
	run: \|
	julia -e '
	using BenchmarkCI
	BenchmarkCI.judge()
	BenchmarkCI.displayjudgement()
	'

	# generate and record the benchmark result as markdown
	- name: generate benchmark result
	run: \|
	body=$(julia -e '
	using BenchmarkCI

	let
	judgement = BenchmarkCI._loadjudge(BenchmarkCI.DEFAULT_WORKSPACE)
	title = "Benchmark Result"
	ciresult = BenchmarkCI.CIResult(; judgement, title)
	BenchmarkCI.printcommentmd(stdout::IO, ciresult)
	end
	')
	body="${body//'%'/'%25'}"
	body="${body//$'\n'/'%0A'}"
	body="${body//$'\r'/'%0D'}"
	echo $body > ./benchmark-result.artifact

	# record the pull request number
	- name: record pull request number
	run: echo ${{ github.event.pull_request.number }} > ./pull-request-number.artifact

	# save as artifacts (performance tracking (comment) workflow will use it)
	- uses: actions/upload-artifact@v4
	with:
	name: performance-tracking
	path: ./*.artifact

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