from bots.rdeep import rdeep
from bots.bully import bully
from bots.ml_advanced import ml_advanced
from bots.ml import ml
from bots.alphabeta import alphabeta
#Pick the features of which bot you want to use for training the model:
#from bots.ml.ml import features
from bots.ml_stripped.ml_stripped import features
GAMES = 100000
# Which phase the game starts in
PHASE = 2
# The player we'll observe
player = alphabeta.Bot()
#player = rdeep.Bot()
#player = ml_advanced.Bot()
data = []
target = []
for g in range(GAMES):
# Randomly generate a state object starting in specified phase.
state = State.generate(phase=PHASE)
state_vectors = []
while not state.finished():
"""
Check that the minmax bot and alpha beta bot return the same judgement, and that alphabeta bot is faster
"""
from api import State, util
import random, time
from bots.alphabeta import alphabeta
from bots.minimax import minimax
REPEATS = 3
MOVES = 2
DEPTH = 4
ab = alphabeta.Bot(randomize=False, depth=DEPTH)
mm = minimax.Bot(randomize=False, depth=DEPTH)
mm_time = 0
ab_time = 0
for r in range(REPEATS):
# Generate a starting state
state = State.generate(10, phase=2)
# Do a few random moves
for m in range(MOVES):
state = state.next(random.choice(state.moves()))
# Ask both bots their move