✨ CogReader ndarray method to decode TIFF into an ndarray Array #32

	# Run performance benchmarks
	#
	# Continuous benchmarking using pytest-codspeed. Measures the execution speed
	# of tests marked with @pytest.mark.benchmark decorator.

	name: Benchmarks

	on:
	# Run on pushes to the main branch
	push:
	branches: [ main ]
	# Run on pull requests
	pull_request:
	types: [ opened, reopened, synchronize ]
	# `workflow_dispatch` allows CodSpeed to trigger backtest
	# performance analysis in order to generate initial data.
	workflow_dispatch:
	release:
	types: [ published ]

	jobs:
	benchmarks:
	runs-on: ubuntu-22.04
	defaults:
	run:
	shell: bash -l {0}

	steps:
	# Checkout current git repository
	- name: Checkout
	uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1

	# Setup Python interpreter
	- uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.0.0
	with:
	python-version: '3.12'

	# Build binary distribution wheel
	- name: Build wheels
	uses: PyO3/maturin-action@60d11847b29f81ca5375519a8eb33cc336ba4bfa # v1.41.0
	with:
	target: x86_64
	args: --release --out dist --find-interpreter
	sccache: 'true'
	manylinux: auto

	# Install the package that we want to test
	- name: Install the package
	run: \|
	set -e
	python -m pip install cog3pio[tests] --find-links dist --force-reinstall
	python -m pip list

	# Run the benchmark tests
	- name: Run benchmarks
	uses: CodSpeedHQ/action@2e04019f4572c19684929a755da499f19a00b25b # v2.2.1
	with:
	run: \|
	python -m pytest --verbose --codspeed

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