def evaluate2(self, state, player, action =None, quad_table_ext=None):
'''
@type state: loa_game.LinesOfActionState
'''
cmt = initialize(state.board)
cmt.coord_repr
EndTimer.check(name="cm_f")
my_coord_list = cmt.coord_repr[player]
cm = cmt.cm_dict[player]
EndTimer.check(name="cm_g")
GTimeStatistics.start_measure("sum_of_min_distances_ext2")
rsmd = self.sum_of_min_distances_ext2(cm,my_coord_list)
GTimeStatistics.stop_measure("sum_of_min_distances_ext2")
smart_sum, smart_sum_count, dsum, dmin_sum, dmin, dmin_count = rsmd
r1 = self.min_sum_res(smart_sum_count, smart_sum)
r2 = self.min_sum_fix(dmin, dmin_count, len(my_coord_list))
return r1, r2
def test5():
''' hash items()'''
root = LinesOfActionState(10, 50)
succs = root.getSuccessors().items()[0][1].getSuccessors()
dd = {}
def count(d):
k,v = d.popitem()
r = v.getSuccessors()
d[k]=v
sum = 0
#for k in d.items():
# sum += 1
return sum
def counts():
smax = -1
smin = 10000000
for _ in xrange(1000):
sum = GTimeStatistics.measure_function(count,succs)
smax = max(smax,sum)
smin = min(smin,sum)
return smax,smin
smax,smin = GTimeStatistics.measure_function(counts)
print GTimeStatistics
print smax,smin
def counts():
smax = -1
smin = 10000000
for _ in xrange(1000):
sum = GTimeStatistics.measure_function(count,succs)
smax = max(smax,sum)
smin = min(smin,sum)
return smax,smin
def utility(self, state, info_set):
GTimeStatistics.start_measure("agent.utility")
hv = self.evaluator.evaluate(state, self.player, info_set)
GTimeStatistics.stop_measure("agent.utility")
return hv
def g():
return GTimeStatistics.measure_function(f)
def utility(self,state,info_set):
GTimeStatistics.start_measure("heur")
r = self.evaluator.evaluate(state, self.player,info_set)
GTimeStatistics.stop_measure("heur")
return r
