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Car.py
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65 lines (58 loc) · 2.19 KB
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from algo_utils import get_manhattan
class Car:
def __init__(self, max_time, bonus):
self.position = (0, 0)
self.passed_rides = []
self.current_ride = None
self.max_time = max_time
self.ctime = 0
self.goal = (0, 0)
self.ride_time = 0
self.bonus = bonus
def choose_best_ride(self, rides):
scores = []
ride = None
for r in rides:
dist = get_manhattan(self.position, r.start)
if r.score + dist <= (self.max_time - self.ctime):
ride_start = abs(self.ctime + dist - r.earliest_start)
score = r.score - ride_start
if ride_start == 0:
score += self.bonus
scores.append((score, r))
if scores:
ride = max(scores, key=lambda x: x[0])[1]
rides.remove(ride)
return ride
def get_new_ride(self, rides):
self.current_ride = self.choose_best_ride(rides)
if self.current_ride is None:
return
if self.position != self.current_ride.start:
self.goal = self.current_ride.start
self.ride_time = get_manhattan(self.position,
self.current_ride.start)
else:
self.goal = self.current_ride.goal
self.ride_time = get_manhattan(self.position,
self.current_ride.goal)
def update_position(self, rides):
self.position = self.goal
if self.current_ride.goal == self.goal:
self.passed_rides.append(self.current_ride)
self.get_new_ride(rides)
elif self.ctime >= self.current_ride.earliest_start:
self.goal = self.current_ride.goal
self.ride_time = self.current_ride.score
def drive(self, rides):
if self.current_ride is None:
self.get_new_ride(rides)
elif self.ride_time <= 0:
self.update_position(rides)
self.ride_time -= 1
self.ctime += 1
def __str__(self):
res = "{}".format(len(self.passed_rides))
for p in self.passed_rides:
res += " {}".format(p.id)
return res