I have invented a new way to seed the random number generator with about as random a source of seeds as can be found: hashes generated from high cadence, high resolution images of the surface of the Sun. These are captured by the Solar Dynamics Observatory's (SDO) Atmospheric Imaging Assembly's (AIA) cameras at various frequencies. I wrote the POC code in Python and can be seen at https://github.com/flybd5/heliorandom. The HelioViewer project liked the idea and modified their API to do essentially what my POC code does at https://api.helioviewer.org/?action=getRandomSeed. Perhaps a solarseed() call could be created for the library to get seeds that way rather than from the system clock?

Hi, this is very specific and I don't think a way to seed the random generator using a third uncontrolled party will get merged in Python. You should probably try to package this as a third party library.

I'm not a Python guru, but I was wondering, is it possible to write a new module that overrides the seed() method in the random library in its initialization code and replaces it with this method of seeding the generator?

> is it possible to write a new module that overrides the seed()
> method in the random library in its initialization code and 
> replaces it with this method of seeding the generator?

Yes.  The simplest way is override seed() in a subclass.  You can put that subclass in a new module if you like and can even call the class "Random" if desired.

>>> class InputRandom(random.Random):
	def seed(self, a=None):
		if a is None:
			a = int(input('Enter a seed: '))
		super().seed(a)

		
>>> r = InputRandom()
Enter a seed: 1234
>>> r.random()
0.9664535356921388
>>> r.random()
0.4407325991753527
>>> r.seed()
Enter a seed: 1234
>>> r.random()
0.9664535356921388
>>> r.seed(1234)
>>> r.random()
0.9664535356921388

Marking as closed for these reasons listed by Rémi Lapeyre.

Also note that the default is to use a system source of entropy.  Time is only used as a fallback if such as source is unavailable.

Thanks Rémi. :)

This is definitely cool though. It might make a really sweet example in the demos that come with Python, or in the tutorial, showcasing both the awesomeness of HelioViewer and how to use Python to connect to web APIs.

https://github.com/python/cpython/tree/master/Tools/demo

How would I know if my demo is good enough to be included in that repo? Is there a guide for this, or do I just create a pull request, throw it over the fence and wait until the wolves either grunt in approval or throw it back at me in pieces? I ask because I have never participated in a repo related to as big a project as Python 3. :)

Pull request https://github.com/python/cpython/pull/21693 created for the demo steven.daprano suggested.