Refactor code to avoid eager dependencies

[bcollazo]

Right now it seems tensorflow, numpy, and pandas are only needed for CsvDataAccumulator which seems to be a Machine Learning inclined feature. It would be nice if the catanatron could come with the simulator without having to include heavy dependencies like these (tensorflow, numpy, and pandas). Actually, maybe even without including rich or click.

This issue is to study and think about how could we structure the codebase so that people could use the simulator by just pip install catanatron and something like:

from catanatron import RandomPlayer, Color, play_batch

# Play a simple 4v4 game
players = [
    RandomPlayer(Color.RED),
    RandomPlayer(Color.BLUE),
    RandomPlayer(Color.WHITE),
    RandomPlayer(Color.ORANGE),
]
results = play_batch(100, players)  # simulates 100 games

or so.

Maybe have a catanatron_cli package that uses this core play_batch and includes the click and rich libraries to do its thing? Maybe another catanatron_ai that includes the ML-based features like the CsvDataAccumulator and the AI-based players that depend on tensorflow, numpy, and pandas?

This would help with slow startup time #208 and would make it easier to adopt in M1 machines where tensorflow is a little more involved to install. Open to thoughts.

[bcollazo]

Improved by #252. Still further work could be done.