def _get_fitness_(self):
"""
Helper method to perform a single simulation to evaluate the performance
of the chromosome. This will be called multiple times and the overall
performance of the chromosome is the average of all the runs.
"""
tetrominos = [
Tetromino.ITetromino(),
Tetromino.OTetromino(),
Tetromino.TTetromino(),
Tetromino.STetromino(),
Tetromino.ZTetromino(),
Tetromino.JTetromino(),
Tetromino.LTetromino()
]
field = Field()
field_score = -1
for length in range(self.max_simulation_length):
tetromino = random.choice(tetrominos)
_, __, _field, _field_score = field.get_optimal_drop(
tetromino, self.genes)
if _field_score == math.inf:
return length, field_score
else:
field = _field
field_score = _field_score
return length, field_score
def show(chromosome):
tetrominos = [
Tetromino.ITetromino(),
Tetromino.OTetromino(),
Tetromino.TTetromino(),
Tetromino.STetromino(),
Tetromino.ZTetromino(),
Tetromino.JTetromino(),
Tetromino.LTetromino()
]
field = Field()
pieces = 0
while True:
tetromino = random.choice(tetrominos)
_, __, field, ___ = field.get_optimal_drop(tetromino, chromosome.genes)
if field == None:
break
print(field)
pieces += 1
time.sleep(0.1)
print('Performance: {}'.format(pieces))
next_rows = driver.find_element_by_xpath(
'/html/body/div[2]/div/div/div[1]/div[2]/div[1]/div[2]/div/table/tbody'
).find_elements_by_tag_name("tr")
field = Field()
current_tetromino = get_t(first_rows)()
print(current_tetromino)
next_tetromino = None
while True:
time.sleep(1)
try:
next_tetromino = get_next_t(next_rows)()
except Exception as e:
driver.quit()
quit()
print(str(e))
print(next_tetromino)
opt = field.get_optimal_drop(current_tetromino)
rotation = opt[-1]
column = opt[1]
current_tetromino.rotate(rotation)
field.drop(current_tetromino, column)
keys = get_keystrokes(rotation, column, {
'rotate_right': 'k',
'move_left': 'h',
'move_right': 'l',
'drop': ' '
})
pyautogui.typewrite(keys)
current_tetromino = next_tetromino
time.sleep(0.2)