OSPP: Implementation of Domain-Specific Large Model Benchmarking Based on KubeEdge-Ianvs #607

	name: CI

	on:
	push:
	branches:
	- main
	tags:
	pull_request:
	paths-ignore:
	- '**.md'

	jobs:
	pylint:
	runs-on: ubuntu-20.04
	name: pylint
	strategy:
	matrix:
	python-version: [ "3.7", "3.8", "3.9" ]
	steps:
	- uses: actions/checkout@v3
	- name: Set up Python ${{ matrix.python-version }}
	uses: actions/setup-python@v3
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install dependencies
	run: \|
	sudo apt-get update
	sudo apt-get install libgl1-mesa-glx -y
	python -m pip install pip==24.0
	python -m pip install pylint
	python -m pip install ${{github.workspace}}/examples/resources/third_party/*
	python -m pip install -r ${{github.workspace}}/requirements.txt
	- name: Analysing code of core with pylint
	# `--max-positional-arguments=10` is set for Python 3.9 to avoid `R0917: too-many-positional-arguments`.
	# See details at https://github.com/kubeedge/ianvs/issues/157
	run: \|
	if [ "${{ matrix.python-version }}" = "3.9" ]; then
	pylint --max-positional-arguments=10 '${{github.workspace}}/core'
	else
	pylint '${{github.workspace}}/core'
	fi

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