Simplify E2E tests with matrix #588

	name: E2E

	on:
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	env:
	FLWR_TELEMETRY_ENABLED: 0

	jobs:
	e2e:
	runs-on: ubuntu-22.04
	timeout-minutes: 10
	# Using approach described here:
	# https://docs.github.com/en/actions/using-jobs/using-a-matrix-for-your-jobs
	strategy:
	matrix:
	include:
	- directory: bare

	- directory: jax

	- directory: pytorch
	dataset: \|
	from torchvision.datasets import CIFAR10
	CIFAR10('./data', download=True)

	- directory: tensorflow
	dataset: \|
	import tensorflow as tf
	tf.keras.datasets.cifar10.load_data()

	- directory: opacus
	dataset: \|
	from torchvision.datasets import CIFAR10
	CIFAR10('./data', download=True)

	- directory: mxnet
	dataset: \|
	import mxnet as mx
	mx.test_utils.get_mnist()

	- directory: scikit-learn
	dataset: \|
	import openml
	openml.datasets.get_dataset(554)

	- directory: fastai
	dataset: \|
	from fastai.vision.all import untar_data, URLs
	untar_data(URLs.MNIST)

	- directory: pandas
	dataset: \|
	from pathlib import Path
	from sklearn.datasets import load_iris
	Path('data').mkdir(exist_ok=True)
	load_iris(as_frame=True)['data'].to_csv('./data/client.csv')

	name: ${{matrix.directory}}

	defaults:
	run:
	working-directory: e2e/${{ matrix.directory }}

	steps:
	- uses: actions/checkout@v3
	- name: Bootstrap
	uses: ./.github/actions/bootstrap
	with:
	python-version: 3.8
	- name: Install dependencies
	run: python -m poetry install
	- name: Download dataset
	if: ${{matrix.dataset}}
	run: python -c "${{ matrix.dataset }}"
	- name: Run edge client test
	run: ./test.sh
	- name: Run virtual client test
	run: python simulation.py

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