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Server: Minor AI algorithm performance optimization.
authorChristian Heller <c.heller@plomlompom.de>
Thu, 3 Mar 2016 01:19:15 +0000 (02:19 +0100)
committerChristian Heller <c.heller@plomlompom.de>
Thu, 3 Mar 2016 01:19:15 +0000 (02:19 +0100)
server/ai.py

index 71961a33c401d3ec6d5be95318d61f811f43f6f9..54bdb6f2d282affbd301ea46f16499aec6422eec 100644 (file)
@@ -59,12 +59,7 @@ def get_dir_to_target(t, filter):
     def animates_in_fov(maplength):
         return [Thing for Thing in world_db["Things"].values()
                 if Thing["T_LIFEPOINTS"] and not Thing["carried"]
     def animates_in_fov(maplength):
         return [Thing for Thing in world_db["Things"].values()
                 if Thing["T_LIFEPOINTS"] and not Thing["carried"]
-                   and not Thing == t and 118 == t["fovmap"][Thing["pos"]]]
-
-    #def animates_in_fov_gen(maplength):
-    #    return (Thing for Thing in world_db["Things"].values()
-    #            if Thing["T_LIFEPOINTS"] and not Thing["carried"]
-    #               and not Thing == t and 118 == t["fovmap"][Thing["pos"]])
+                    and 118 == t["fovmap"][Thing["pos"]] and not Thing == t]
 
     def good_attack_target(v):
         eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])
 
     def good_attack_target(v):
         eat_cost = eat_vs_hunger_threshold(t["T_TYPE"])