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OSPP: Cloud-edge collaborative inference for LLM based on KubeEdge-Ianvs #626

OSPP: Cloud-edge collaborative inference for LLM based on KubeEdge-Ianvs

OSPP: Cloud-edge collaborative inference for LLM based on KubeEdge-Ianvs #626

Workflow file for this run

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