diff options
author | SpitfireX <timm.weber@me.com> | 2015-08-13 04:09:32 +0200 |
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committer | SpitfireX <timm.weber@me.com> | 2015-08-13 04:09:32 +0200 |
commit | 2f353651102a0173f10a44b8e13d3946daaaa4a9 (patch) | |
tree | afa2dbf1d4cac5340e8fd9c7924e75709980099e | |
parent | dff67de3971d8c42d7f023ff21f9ae501cc933e5 (diff) | |
parent | b6f5787233b87725dd743082fbff5f94039d2479 (diff) |
Merge remote-tracking branch 'origin/tastyness'
Conflicts:
strategy.py
Todesmerge aus der Hölle.
-rw-r--r-- | strategy.py | 63 |
1 files changed, 60 insertions, 3 deletions
diff --git a/strategy.py b/strategy.py index 258bef0..5b8ca5a 100644 --- a/strategy.py +++ b/strategy.py @@ -33,7 +33,7 @@ class Strategy: relpos = ((cell.pos[0]-self.c.player.center[0]),(cell.pos[1]-self.c.player.center[1])) dist = math.sqrt(relpos[0]**2+relpos[1]**2) - if (not cell.is_virus and dist < 500+2*cell.size and cell.mass > 1.25 * my_smallest) or (cell.is_virus and dist < my_largest and cell.mass < my_largest): + if (not cell.is_virus and dist < ((500+2*cell.size) if cell.mass > 1.25*my_smallest*2 else (300+cell.size)) and cell.mass > 1.25 * my_smallest) or (cell.is_virus and dist < my_largest and cell.mass < my_largest): angle = math.atan2(relpos[1],relpos[0]) corridor_halfwidth = math.asin(cell.size / dist) forbidden_intervals += canonicalize_angle_interval((angle-corridor_halfwidth, angle+corridor_halfwidth)) @@ -73,7 +73,21 @@ class Strategy: gui.draw_arc(self.c.player.center, self.c.player.total_size+10, i, (255,0,255)) # if however there's no enemy to avoid, chase food or jizz randomly around - else: + else: + def rival(cell, food): + if cell.is_virus or cell.is_food: return False + if cell.cid in self.c.player.own_ids: return False + + if cell.mass < 1.25*my_smallest: + return food.is_food or cell.size > 1.25*food.size + else: + return False + def splitkiller(cell): + return not cell.is_virus and not cell.is_food and cell.mass > 1.25*2*my_smallest + + def nonsplitkiller(cell): + return not cell.is_virus and not cell.is_food and 1.20*my_smallest < cell.mass and cell.mass < 1.25*2*my_smallest + if self.target_cell != None: self.target = tuple(self.target_cell.pos) if self.target_cell not in self.c.world.cells.values() or not self.edible(self.target_cell): @@ -86,7 +100,50 @@ class Strategy: if not self.has_target: food = list(filter(self.edible, self.c.world.cells.values())) - food = sorted(food, key = self.dist) + + def quality(cell): + dd_sq = max((cell.pos[0]-self.c.player.center[0])**2 + (cell.pos[1]-self.c.player.center[1])**2,0.001) + sigma = 500 + dist_score = -math.exp(-dd_sq/(2*sigma**2)) + + rivals = filter(lambda r : rival(r,cell), self.c.world.cells.values()) + splitkillers = filter(splitkiller, self.c.world.cells.values()) + nonsplitkillers = filter(nonsplitkiller, self.c.world.cells.values()) + + rival_score = 0 + for r in rivals: + dd_sq = max(0.001, (r.pos[0]-cell.pos[0])**2 + (r.pos[1]-cell.pos[1])**2) + sigma = r.size + 100 + rival_score += math.exp(-dd_sq/(2*sigma**2)) + + splitkill_score = 0 + for s in splitkillers: + dd_sq = max(0.001, (s.pos[0]-cell.pos[0])**2 + (s.pos[1]-cell.pos[1])**2) + sigma = (500+2*s.size) + splitkill_score += math.exp(-dd_sq/(2*sigma**2)) + + nonsplitkill_score = 0 + for s in nonsplitkillers: + dd_sq = max(0.001, (s.pos[0]-cell.pos[0])**2 + (s.pos[1]-cell.pos[1])**2) + sigma = (300+s.size) + nonsplitkill_score += math.exp(-dd_sq/(2*sigma**2)) + + density_score = 0 + sigma = 300 + for f in filter(lambda c : c.is_food and c!=cell, self.c.world.cells.values()): + dd_sq = (f.pos[0]-cell.pos[0])**2 + (f.pos[1]-cell.pos[1])**2 + density_score -= math.exp(-dd_sq/(2*sigma**2)) + + wall_score = 0 + wall_dist = min( cell.pos[0]-self.c.world.top_left[1], self.c.world.bottom_right[1]-cell.pos[0], cell.pos[1]-self.c.world.top_left[0], self.c.world.bottom_right[0]-cell.pos[1] ) + sigma = 100 + wall_score = math.exp(-wall_dist**2/(2*sigma**2)) + + return dist_score + 0.2*rival_score + nonsplitkill_score + 5*splitkill_score + 0.1*density_score + 5*wall_score + ##print (density_score) + #return density_score + + food = sorted(food, key = quality) if len(food) > 0: self.target = (food[0].pos[0], food[0].pos[1]) |