def attack(self, button: "Box") -> Tuple[int, int]:
"""Click button, albeit 'skip', 'verify', or 'next'"""
left = int(button.left + 0.2 * button.width)
top = int(button.top + 0.2 * button.height)
right = int(button.left + 0.8 * button.width)
bottom = int(button.top + 0.8 * button.height)
return human_click(left, top, right, bottom)
def refresh_puzzle(self, button: "Box") -> Tuple[int, int]:
left = int(button.left) - 325 + int(
(button.width + button.width % 2) / 2)
top = int(button.top) - 10 + int(
(button.height + button.height % 2) / 2)
right = left + 20
bottom = top + 20
return human_click(left, top, right, bottom)
def run(self) -> None:
print("\nEntered", self.__class__.__name__)
print("Look for robot nazi...")
starttime = time.time()
while time.time() - starttime < 30:
try:
# Locate "I'm not a robot" button on-screen
imnotarobot = locateOnScreen(os.path.join(
self.fullpath, "imnotarobot.png"),
confidence=0.6)
assert hasattr(imnotarobot, "left")
except:
pass
else:
# Click "I'm not a robot" button like a human
left = int(imnotarobot.left + 0.20 * imnotarobot.width)
top = int(imnotarobot.top + 0.20 * imnotarobot.height)
right = int(imnotarobot.left + 0.75 * imnotarobot.width)
bottom = int(imnotarobot.top + 0.80 * imnotarobot.height)
clicked = human_click(left, top, right, bottom) # type: ignore
print(clicked, time.time())
break
def select_things(
self,
things: List[Tuple[int, int, int, int]],
grid: Tuple[str, int, int, int, int],
) -> None:
"""Click on all things, relative to button location.
If grid parameter specified, click on all grid cells occupied by any things.
INPUT
-----
cached_things : dict()
"""
# Constant parameters
puzzle_offset_y = 120
click_margin_x = 5
click_margin_y = 35
# Check for whether nxn grid was identified
if grid[0] == "4x4" or grid[0] == "3x3":
# Constant parameters
n, m = int(grid[0][0]), int(grid[0][2])
grid_margin_x, grid_margin_y = self.grid_margins(n, m)
cell_width, cell_height = self.cell_dimensions(
grid[3], grid[4], grid_margin_x, grid_margin_y, n, m)
# Grid exists. Iterate through cells in nxn grid and click it if occupied by an thing
for cell in range(n * m):
# Define cell as row & col no.
row, col = self.nxm(n, m, cell)
# Calculate cell region relative to puzzle coordinates
cell_left = col * cell_width + grid_margin_x
cell_top = row * cell_width + grid_margin_y
cell_right = (col + 1) * cell_width + grid_margin_x
cell_bottom = (row + 1) * cell_width + grid_margin_y
# Determine whether cell region contains an thing
for thing in things:
try:
# Check if a collision occurs
assert (
# Collision in x axis
self.is_collision( # type: ignore
tuple([thing[0], thing[2]]),
tuple([cell_left, cell_right]),
)
# Collision in y axis
and self.is_collision( # type: ignore
tuple([thing[1], thing[3]]),
tuple([cell_top, cell_bottom]),
))
except:
# No collision here
pass
else:
# Click within cell region & proceed to next cell
left = grid[1] + cell_left + click_margin_x
top = grid[
2] + cell_top + puzzle_offset_y + click_margin_y
right = grid[1] + cell_right - click_margin_x
bottom = (grid[2] + cell_bottom + puzzle_offset_y -
click_margin_y)
clicked = human_click(left, top, right, bottom)
print(clicked, time.time())
break
# No grid specified. Click all things relative to button
else:
try:
for thing in things:
left = thing[0] + grid[1] + int(0.2 *
(thing[2] - thing[0]))
top = (thing[1] + grid[2] +
int(0.2 * (thing[3] - thing[1])) + puzzle_offset_y)
right = thing[2] + grid[1] - int(0.2 *
(thing[2] - thing[0]))
bottom = (thing[3] + grid[2] - int(0.2 *
(thing[3] - thing[1])) +
puzzle_offset_y)
clicked = human_click(left, top, right, bottom)
print(clicked, time.time())
except:
pass