def closeEvent(self, event):
r"""Things in here happen on GUI closing."""
close_immediately = True
filename = os.path.join(get_output_dir(), 'pentago.pkl')
if close_immediately:
GameStats.save(filename, self.state.game_hist)
event.accept()
else:
# Alternative with user choice
reply = QMessageBox.question(self, 'Message', \
"Are you sure to quit?", QMessageBox.Yes | \
QMessageBox.No, QMessageBox.No)
if reply == QMessageBox.Yes:
GameStats.save(filename, self.state.game_hist)
event.accept()
else:
event.ignore()
def initialize_state(self, filename):
r"""Loads the previous game based on settings and whether the file exists."""
# preallocate to not load
load_game = False
if OPTIONS['load_previous_game'] == 'No':
pass
elif OPTIONS['load_previous_game'] == 'Yes':
load_game = True
# ask if loading
elif OPTIONS['load_previous_game'] == 'Ask':
widget = QWidget()
reply = QMessageBox.question(widget, 'Message', \
"Do you want to load the previous game?", QMessageBox.Yes | \
QMessageBox.No, QMessageBox.No)
if reply == QMessageBox.Yes:
load_game = True
else:
raise ValueError(
'Unexpected value for the load_previous_game option.')
# initialize outputs
self.state = State()
# load previous game
if load_game:
if filename is None:
filename = os.path.join(get_output_dir(), 'pentago.pkl')
if os.path.isfile(filename):
self.state.game_hist = GameStats.load(filename)
self.state.cur_game = Counter(len(self.state.game_hist) - 1)
self.state.cur_move = Counter(
len(self.state.game_hist[-1].move_list))
self.state.board = create_board_from_moves(self.state.game_hist[-1].move_list, \
self.state.game_hist[-1].first_move)
self.state.move_status = {
'ok': False,
'pos': None,
'patch_object': None
}
else:
raise ValueError(
f'Could not find file: "{filename}"') # pragma: no cover
def closeEvent(self, event):
r"""Things in here happen on GUI closing."""
filename = os.path.join(get_output_dir(), 'tictactoe.pkl')
GameStats.save(filename, self.state.game_hist)
event.accept()
def test_function(self):
folder = dcs2.get_output_dir()
self.assertEqual(folder, os.path.join(dcs2.get_root_dir(), 'results'))
import pprofile
from dstauffman2 import get_output_dir, setup_dir
import dstauffman2.games.knight as knight
#%% Script
if __name__ == '__main__':
do_board = 'none' # from {'none', 'small', 'large', 'both'}
# convert board to numeric representation for efficiency
board1 = knight.char_board_to_nums(knight.BOARD1)
board2 = knight.char_board_to_nums(knight.BOARD2)
# create the output folder
folder = os.path.join(get_output_dir(), 'knight')
setup_dir(folder)
# create profiler
profile = pprofile.Profile()
# Small board
if do_board in {'small', 'both'}:
print('\nSolve the smaller board for the minimum length solution.')
# enable/disable profiler while running solver
profile.enable()
moves3 = knight.solve_min_puzzle(board1)
profile.disable()
# print solution
print(moves3)
import dstauffman2.archery.scoring as score
#%% Script
if __name__ == '__main__':
# turn interactive plotting off
plt.ioff()
#%% folder and file locations
username = getpass.getuser()
folder = os.path.join(r'C:\Users', username,
r'Google Drive\Python\2015-16_Indoor_Scores')
xlsx_datafile = os.path.join(folder, '2015-16 Indoor Scorecards.xlsx')
#%% opts settings for plots
opts = Opts()
opts.save_path = get_output_dir()
opts.save_plot = True
opts.plot_type = 'png'
#%% process data
(scores, names, dates) = score.read_from_excel_datafile(xlsx_datafile)
(nfaa_score, usaa_score) = score.convert_data_to_scores(scores)
#%% Specific dates
inner10 = []
outer10 = []
tulare = []
vegas = []
for (ix, this_name) in enumerate(names):
if 'Tulare' in this_name:
tulare.append(usaa_score[ix])