class TestCgolMethods(unittest.TestCase):
def setUp(self):
self.g = GameOfLife()
self.conf = configurations()
with open('config.json') as config_fd:
config = json.load(config_fd)
self.grid_width = np.clip(config['width'], 8, 30)
self.grid_height = np.clip(config['height'], 8, 30)
def test_created_grid(self):
np.testing.assert_array_equal(self.g.get_grid(), np.zeros((self.grid_width, self.grid_height)))
def test_pattern_placement(self):
self.g.add_object(self.conf.Beacon, 0, 0)
self.g.add_object(self.conf.Block, 10, 10)
test_grid = np.zeros((self.grid_width, self.grid_height))
test_grid[0:4, 0:4] = np.array([[1, 1, 0, 0], [1, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 1]])
test_grid[10:12, 10:12] = np.array([[1, 1], [1, 1]])
np.testing.assert_array_equal(self.g.get_grid(), test_grid)
def test_still_life(self):
self.g.add_object(self.conf.Block, 0, 0)
self.g.add_object(self.conf.Beehive, 6, 0)
self.g.add_object(self.conf.Tub, 6, 12)
self.g.update_grid()
test_grid = np.zeros((self.grid_width, self.grid_height))
test_grid[0:2, 0:2] = np.array([[1, 1], [1, 1]])
test_grid[6:9, 0:4] = np.array([[0, 1, 1, 0], [1, 0, 0, 1], [0, 1, 1, 0]])
test_grid[6:9,12:15] = np.array([[0, 1, 0], [1, 0, 1], [0, 1, 0]])
np.testing.assert_array_equal(self.g.get_grid(), test_grid)
def test_oscillators(self):
self.g.add_object(self.conf.Blinker, 0, 0)
self.g.add_object(self.conf.Toad, 6, 0)
self.g.add_object(self.conf.Beacon, 6, 12)
self.g.update_grid()
test_grid = np.zeros((self.grid_width, self.grid_height))
test_grid[0:3, 0:3] = np.array([[0, 1, 0], [0, 1, 0], [0, 1, 0]])
test_grid[6:10, 0:4] = np.array([[0, 0, 1, 0], [1, 0, 0, 1], [1, 0, 0, 1], [0, 1, 0, 0]])
test_grid[6:10,12:16] = np.array([[1, 1, 0, 0], [1, 1, 0, 0], [0, 0, 1, 1], [0, 0, 1, 1]])
np.testing.assert_array_equal(self.g.get_grid(), test_grid)
def test_spaceships(self):
self.g.add_object(self.conf.Glider, 0, 0)
self.g.add_object(self.conf.LWSpaceship, 12, 5)
self.g.update_grid()
test_grid = np.zeros((self.grid_width, self.grid_height))
test_grid[0:3, 1:4] = np.array([[1, 0, 0], [0, 1, 1], [1, 1, 0]])
test_grid[12:16, 5:10] = np.array([[0, 1, 1, 1, 1], [1, 0, 0, 0, 1], [0, 0, 0, 0, 1], [1, 0, 0, 1, 0]])
np.testing.assert_array_equal(self.g.get_grid(), test_grid)
input("Please enter the maximum number of iterations (int): "))
max_iterations = np.clip(max_iterations, 10, 1000)
for _ in range(20):
print("\nEnter the key to the configuration you want to add :")
print(
"\n0 Start Game\t1 Block \n2 Beehive\t3 Tub\n4 Blinker\t5 Toad\n6 Beacon\t7 Glider\n8 Light Space Ship\t9 Random Grid"
)
selection = int(input("\nYour Choice: "))
if selection == 9:
g.random_grid()
else:
i, j = map(
int,
input(
"Please enter the location for the pattern as two space-seperated integers: "
).split())
g.add_object(conf.d[selection], i, j)
response = input('\n Do you want to add more configurations? Y/N')
if response != 'Y' or response != 'y':
break
print(
"Press Ctrl+C at any point to exit. The program shall automatically exit after the maximum iterations."
)
for counter in range(max_iterations):
g.run_once()
time.sleep(t / 1000)
g.move_cursor_down()
print("\n **************** THANKS FOR PLAYING! ********************")
