add test flow #2

	# This workflow will install Python dependencies, run tests and lint with a single version of Python
	# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python

	name: MLDebugger Test

	on:
	pull_request:
	branches: [ "main" ]
	push:
	branches: [ "main" ]
	workflow_dispatch:

	permissions:
	contents: write

	#env:
	# # Differentiate manual testing from automated testing
	# GIT_MODE: 1
	# # pip install to conda env
	# PYTHONNOUSERSITE: 1

	jobs:
	build:
	runs-on: [ vdi ]
	steps:
	- name: Set correct Git path
	run: echo "/usr/bin" >> $GITHUB_PATH
	- uses: actions/checkout@v4
	with:
	clean: true
	lfs: true

	- name: Pull LFS files
	run: git lfs pull

	- name: Lint with flake8, pylint
	run: \|
	# stop the build if there are Python syntax errors or undefined names
	flake8 . --exclude=.venv --count --select=E9,F63,F7,F82 --show-source --statistics --indent-size 2
	# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
	# flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics --indent-size 2
	find src/ -type f -name "*.py" \| xargs pylint --ignore=.venv --indent-string=' ' --exit-zero --max-line-length=120

	- name: Update submodules
	run: \|
	git submodule update --init --recursive
	# Pull LFS files inside any submodules that use LFS
	git submodule foreach --recursive 'git lfs pull \|\| true'

	- name: Run debugger with test backend
	run: \|
	cd ext
	git clone https://gitenterprise.xilinx.com/XDP/MLDebugTest tests
	python run_tests.py

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