Tensorflow 2.13.1 Version Issue with Python 3.8

[Faizack]

Bug Report

Describe the bug
I was running the example MNIST TensorFlow and encountered an issue. In Python 3.8, TensorFlow version 2.13.1 is not available.

To Reproduce
Steps to reproduce the behavior:

1. Change TensorFlow version to 2.13.0 manually.

2. fedn package create --path client

3. Upload package.tgz in fedn.scaleoutsystems in Compute Package

4. fedn run build --path client and upload seed model in fed

5. Run fedn client start -in client.yaml --secure=True --force-ssl.

6. Observe that python_env.yaml is generated with tensorflow==2.13.1 dependencies.

Expected behavior
The script should recognize the available TensorFlow version (2.13.0) and not generate a python_env.yaml file with tensorflow==2.13.1.

Environment (please complete the following information):

• Python version: 3.8
• TensorFlow version: 2.13.0

[sgronlund]

The requirement file in the example directory states that you need to use tensorflow>=2.13.1. Thus, I wouldn't consider this a bug, but a maintainer could argue otherwise as they know more :)

I'd suggest creating a new (and empty) virtual environment and then installing fedn, and finally running pip install -r requirements.txt within the example directory.

fedn/examples/mnist-keras/requirements.txt

Lines 1 to 3 in f4b9e1b

	tensorflow>=2.13.1
	fire==0.3.1
	docker==6.1.1