def gas_helps(constraints, race):
for unit, count in constraints:
# reactor build time 50s, marine 25s
if unit == MARINE and count > 3:
return True
# cycore time 50
# warp gate time 160
# zealot time 38 -> 28 with warpgate
if unit == ZEALOT and count > 5:
return True
instance = Instance()
instance.init_as_race(race)
can_reach = set([i for i in xrange(NUM_UNITS) if instance.units[i] > 0])
old_size = 0
new_size = len(can_reach)
gasless_events = filter(lambda event: event.cost[1] == 0, events)
while old_size < new_size:
old_size = new_size
for event in gasless_events:
for req, kind in event.requirements:
if kind is not NOT and req not in can_reach:
break
else:
if event.result in [add, warp, research, warp]:
can_reach |= set([product for product in event.args])
new_size = len(can_reach)
required = set([i for unit, count in constraints])
return required.issubset(can_reach)
def a_star_optimization(race, constraints):
"""
Returns the optimal build order for fitting the given constraints, having calculated it via an A* search
Optimality is measured according to time required to meet constraints. This function necessarily returns a most optimal build
Contraints is an array of units required in the form [(UNIT_INDEX, UNIT_COUNT)]
Race denotes the race: "Z", "P", or "T"
"""
frozen_cons = frozenset(constraints)
set_up(frozen_cons,race)
frontier = PriorityQueue() # no limit
first_instance = Instance()
first_instance.init_as_race(race)
# The items in the queue should be a tuple, with the first element being a tuple of events, and the second element being the last instance of those events.
if has_constraints(first_instance, constraints):
# Create the desired order using the events list
best_order = Order(race = race, events_list = tuple())
return best_order
frontier.push((tuple(), first_instance), 1)
while not frontier.isEmpty():
events_so_far, current_instance = frontier.pop()
# Check all available event options
# TODO move filter into all avaialable
options = current_instance.all_available() # somehow we need to handle gas tricks
# filter ones that help
# TODO chronoboost
options = [[option, ""] for option in options if helps(option, frozen_cons) and Order(race = race, events_list = events_so_far + ([option,""],), calc = False).sanity_check(True)]
while len(options) > 0:
for index in xrange(len(options) -1, -1, -1): # yeah
event_info = options[index]
if (current_instance.available(now = True, event_index = event_info[0])):
del options[index]
new_instance = copy.deepcopy(current_instance)
new_instance.apply_event(event_info)
extension = (events_so_far + (event_info,), new_instance)
if events[event_info[0]].get_result() == boost:
pass
else:
frontier.push(extension, cost(extension[1]) + heuristic(extension[1],constraints))
current_instance.increment({},{})
if has_constraints(current_instance, constraints):
best_order = Order(race = race, events_list = events_so_far)
return best_order
raise Exception("a_star optimization shouldn't have exited without a solution.")