def test_synchrone_evaluation(self):
"""
Tests asynchrone evaluation
"""
# Evaluate Game
cp, nodes = csa.evaluate_game(self.chess_game,
reset_engine=True,
halfmove_numbers=[1, 2, 3],
depths=range(1, 3),
verbose=0,
async_callback=False)
def test_asynchrone_evaluation(self):
"""
Tests asynchrone evaluation
"""
# Evaluate Game / Check here None in halfmove_numbers
cp, nodes = csa.evaluate_game(self.chess_game,
reset_engine=True,
halfmove_numbers=None,
depths=range(1, 3),
verbose=0,
async_callback=True)
"""
Run the analysis on all alpha zero games and save the resulting plot
"""
from csa import csa
# Load Game from PGN
for game_id in range(1, 11):
path_to_pgn = './games/alphazero/alphazero-vs-stockfish_game{}.pgn'.format(game_id)
chess_game = csa.load_game_from_pgn(path_to_pgn)
# Evaluate Game
depths = range(1, 35)
cp, nodes = csa.evaluate_game(chess_game, reset_engine=True,
halfmove_numbers=None, depths=depths,
verbose=1, async_callback=True)
# Save cp
csa.save_evaluation(cp, nodes, depths, True,
True, 'alphazero_stockfish_game{}'.format(game_id))
# Plot heatmap
csa.plot_cp(cp, fn='alphazero/alphazero_stockfish_game{}.svg'.format(game_id), save=True)