Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

Facilitating gameplay

The file that's responsible for governing the facilitation of gameplay in the program is the util/arena.py file.

It defines the following two methods within the Arena class:

def fight(self, state, p1, p2, count):    stats = [0, 0, 0]    for i in range(count):        print('==== EPS #{} ===='.format(i + 1))        winner = self._fight(state, p1, p2)        stats[winner + 1] += 1        print('stats', stats[::-1])        winner = self._fight(state, p2, p1)        stats[winner * -1 + 1] += 1        print('stats', stats[::-1])

The preceding fight() function manages the stats of victories/losses or ties for the players. It ensures that in each round, two games are played, where each player gets to play first only once.

The other _fight() function that was defined in this class ...