def score_planet(pw: planet_wars.PlanetWars, p: planet_wars.Planet):
"""
Function to give a planet a score based on many factors.
:param pw: `PlanetWars` object
:param p: `Planet` object
:return: `float` score of planet
"""
raw_score = get_raw_score(p)
structural_score = 1 - (pythag(MY_PLANETS_CENTER,
(p.x(), p.y())) / pw.map_size)
surrounding_score = 0
for planet in filter(lambda _p: _p != p, pw.planets()):
temp = (
1 -
(pw.distance(p.planet_id(), planet.planet_id()) / pw.map_size))**5
surrounding_score += get_raw_score(planet) * temp
surrounding_score /= pw.total_growth
latency_score = p.latency / pw.map_size
center_score = 1 - (pw.distance(p.planet_id(), 0) / pw.map_size)
score = 0
score += raw_score
score += STRUCTURAL_FACTOR * structural_score
score += SURROUNDING_FACTOR * surrounding_score
score += LATENCY_FACTOR * latency_score
score += CENTER_FACTOR * center_score
return score
def furthest_meaningful_planet(pw: planet_wars.PlanetWars,
planet: planet_wars.Planet, owner: int):
planets = tuple(filter(lambda p: p.owner() == owner, pw.planets()))
fleets = tuple(filter(lambda f: f.owner() == owner, pw.fleets()))
furthest_distance = 0
for other_planet in planets:
furthest_distance = max(
furthest_distance,
pw.distance(other_planet.planet_id(), planet.planet_id()))
for fleet in fleets:
furthest_distance = max(
furthest_distance,
fleet.turns_remaining() +
pw.distance(fleet.destination_planet(), planet.planet_id()))
return furthest_distance
def turn_to_take(pw: planet_wars.PlanetWars, my_planet: planet_wars.Planet,
neutral_planet: planet_wars.Planet):
"""
Finds the minimum turns to take `neutral_planet` with `my_planet`.
:param pw: `PlanetWars` object
:param my_planet: `Planet` object
:param neutral_planet: `Planet` object
:return: `int` turns to take the planet
"""
distance = pw.distance(my_planet.planet_id(), neutral_planet.planet_id())
if my_planet.num_ships() > neutral_planet.num_ships():
return distance
else:
lacking_ships = neutral_planet.num_ships() - my_planet.num_ships() + 1
for t in range(pw.map_size):
lacking_ships -= my_planet.my_arriving_ships[
t] + my_planet.growth_rate()
if lacking_ships <= 0:
break
else:
return 999999
return distance + t
