def test_start_game_print_rules(self):
sys.argv = ["term2048", "--rules"]
try:
ui.start_game()
except helpers.FakeExit:
pass
else:
self.assertFalse(True, "should exit after printing the version")
self.assertEqual(self.exit_status, 0)
self.assertRegexpMatches(self.output["output"], r".+")
def test_start_game_print_rules(self):
sys.argv = ['term2048', '--rules']
try:
ui.start_game()
except helpers.FakeExit:
pass
else:
self.assertFalse(True, "should exit after printing the version")
self.assertEqual(self.exit_status, 0)
self.assertRegexpMatches(self.output.read(), r'.+')
def test_start_game_print_rules(self):
sys.argv = ['term2048', '--rules']
try:
ui.start_game()
except helpers.FakeExit:
pass
else:
self.assertFalse(True, "should exit after printing the version")
self.assertEqual(self.exit_status, 0)
self.assertRegexpMatches(self.output.read(), r'.+')
def test_start_game_print_version_over_rules(self):
sys.argv = ['term2048', '--rules', '--version']
try:
ui.start_game()
except helpers.FakeExit:
pass
else:
self.assertFalse(True, "should exit after printing the version")
self.assertEqual(self.exit_status, 0)
self.assertRegexpMatches(self.output['output'],
r'^term2048 v\d+\.\d+\.\d+$')
def test_start_game_print_version(self):
sys.argv = ['term2048', '--version']
try:
ui.start_game()
except helpers.FakeExit:
pass
else:
self.assertFalse(True, "should exit after printing the version")
self.assertEqual(self.exit_status, 0)
self.assertRegexpMatches(self.output['output'],
r'^term2048 v\d+\.\d+\.\d+$')
def test_start_game_no_resume(self):
g1 = Game(scores_file=None)
g1.board.setCell(0, 0, 16)
self.assertTrue(g1.store())
sys.argv = ['term2048']
g2 = ui.start_game(debug=True)
self.assertIn(g2.board.getCell(0, 0), [0, 2, 4])
def test_start_game_no_resume(self):
g1 = Game(scores_file=None)
g1.board.setCell(0, 0, 16)
self.assertTrue(g1.store())
sys.argv = ['term2048']
g2 = ui.start_game(debug=True)
self.assertIn(g2.board.getCell(0, 0), [0, 2, 4])
def test_start_game_resume(self):
cellvalue = 2
g1 = Game(scores_file=None)
g1.board.setCell(0, 0, cellvalue)
g1.score = 42
self.assertTrue(g1.store())
sys.argv = ['term2048', '--resume']
g2 = ui.start_game(debug=True)
self.assertEqual(cellvalue, g2.board.getCell(0, 0))
self.assertEqual(g1.score, g2.score)
def test_start_game_resume(self):
cellvalue = 2
g1 = Game(scores_file=None)
g1.board.setCell(0, 0, cellvalue)
g1.score = 42
self.assertTrue(g1.store())
sys.argv = ['term2048', '--resume']
g2 = ui.start_game(debug=True)
self.assertEqual(cellvalue, g2.board.getCell(0, 0))
self.assertEqual(g1.score, g2.score)
def test_start_game_loop(self):
ui.debug = False
self.assertEqual(ui.start_game(), None) # interrupted
def test_start_game_print_argparse_warning(self):
ui.start_game()
self.assertIn('output', self.output)
self.assertRegexpMatches(self.output['output'], r'^WARNING')
#!/usr/bin/env python
from term2048.ui import start_game
if __name__ == '__main__':
start_game()
def test_start_game_print_argparse_warning(self):
ui.start_game()
self.assertIn('output', self.output)
self.assertRegexpMatches(self.output['output'], r'^WARNING')
def test_start_game_loop(self):
sys.argv = ['term2048']
self.assertFalse(self._game_loop_started)
ui.start_game()
self.assertTrue(self._game_loop_started)
def test_start_game_loop(self):
ui.debug = False
self.assertEqual(ui.start_game(), None) # interrupted
def test_start_game_print_argparse_warning(self):
ui.start_game()
self.assertIn("output", self.output)
self.assertRegexpMatches(self.output["output"], r"^WARNING")
def test_start_game_loop(self):
sys.argv = ['term2048']
self.assertFalse(self._game_loop_started)
ui.start_game()
self.assertTrue(self._game_loop_started)
from term2048.ui import start_game start_game()
bias[example_action] += example_reward
update += bias
print "update:", update
train_value = old_value + self.learning_rate * (self.discount_factor *
update - old_value)
self.train_step.run(feed_dict={self.x: np.matrix(example_input),
self.y_: np.matrix(train_value),
self.keep_prob: 0.5})
print "example added: %s -> %s" % (example_input, train_value)
def get_next_move(self, state):
weights = self.y.eval(feed_dict={self.x: np.matrix(state)})[0]
print "weights:", weights
best_action = self.prediction.eval(feed_dict={self.x: np.matrix(state),
self.keep_prob: 1.0})[0]
print "predicted action:", best_action
self.counter += 1
random_chance = 1 / (self.counter / self.counter**0.5)
print "random chance:", random_chance
if randint(1, self.counter) < self.counter**0.5:
pass
#best_action = randint(0, 3)
print "taken action:", best_action
return self.INDEX_TO_KEY[best_action]
if __name__ == "__main__":
learner = Learner()
while 1:
ui.start_game(learner)
