def minimax_serial(pos):
(score, move) = _minimax_serial(pos.numpyify(),
np.array(pos.wc).astype(np.uint8),
np.array(pos.bc).astype(np.uint8), pos.ep,
pos.kp, pos.score, 0, DEPTH)
nodes = print_eval()
return (score, move, nodes)
def pvsplit(pos):
(score, move) = _pvsplit(pos.numpyify(),
np.array(pos.wc).astype(np.uint8),
np.array(pos.bc).astype(np.uint8), pos.ep, pos.kp,
pos.score, 0, DEPTH, -1000000, 1000000,
NUM_THREADS)
nodes = print_eval()
return (score, move, nodes)
def alpha_beta_top_level_parallel(pos):
(score, move) = _alpha_beta_top_level_parallel(
pos.numpyify(),
np.array(pos.wc).astype(np.uint8),
np.array(pos.bc).astype(np.uint8), pos.ep, pos.kp, pos.score, 0, DEPTH,
NUM_THREADS, -100000, 100000)
nodes = print_eval()
return (score, move, nodes)
def alpha_beta_serial(pos):
(score, move) = _alpha_beta_serial(pos.numpyify(),
np.array(pos.wc).astype(np.uint8),
np.array(pos.bc).astype(np.uint8),
pos.ep, pos.kp, pos.score, 0, DEPTH,
-100000, 100000)
nodes = print_eval()
return (score, move, nodes)
def minimax_top_level_parallel(pos):
(score,
move) = _minimax_top_level_parallel(pos.numpyify(),
np.array(pos.wc).astype(np.uint8),
np.array(pos.bc).astype(np.uint8),
pos.ep, pos.kp, pos.score, 0, DEPTH,
NUM_THREADS)
nodes = print_eval()
return (score, move, nodes)
