def _find_closest_to_target(self, from_pos: Point2,
grid: np.ndarray) -> Point2:
try:
nearest_spot = grid[np.sum(
np.square(np.abs(grid - np.array([[from_pos.x, from_pos.y]]))),
1,
).argmin()]
pos = Point2(Pointlike((nearest_spot[0], nearest_spot[1])))
return pos
except ValueError:
return from_pos.towards(self.bot.start_location, 1)
def _find_existing_tumor_placement(self,
from_pos: Point2) -> Optional[Point2]:
# find closest no creep tile that is in pathing grid
target: Point2 = self._find_closest_to_target(from_pos,
self.no_creep_map)
# start at possible placement area, and move back till we find a spot
for i in range(self.policy.distance_between_existing_tumors):
new_pos: Point2 = from_pos.towards(
target, self.policy.distance_between_existing_tumors - i)
if (self.bot.is_visible(new_pos) and self.bot.has_creep(new_pos)
and self.bot.in_pathing_grid(new_pos)):
return new_pos
def adjust_build_to_move(self, position: Point2) -> Point2:
closest_zone = position.closest(
map_to_point2s_center(self.knowledge.expansion_zones))
return position.towards(closest_zone, 1)
