Changed the directory structure.

[progcomp2012.git] / samples / asmodeus / asmodeus.py

diff --git a/samples/asmodeus/asmodeus.py b/samples/asmodeus/asmodeus.py
deleted file mode 100644 (file)
index 29c50a2..0000000
--- a/samples/asmodeus/asmodeus.py
+++ /dev/null
@@ -1,81 +0,0 @@
-#!/usr/bin/python -u
-
-#NOTE: The -u option is required for unbuffered stdin/stdout.
-#      If stdin/stdout are buffered, the manager program will not recieve any messages and assume that the agent has timed out.
-
-'''
- asmodeus.py - A sample Stratego AI for the UCC Programming Competition 2012
-
- Written in python, the slithery language 
-
- author Sam Moore (matches) [SZM]
- website http://matches.ucc.asn.au/stratego
- email [email protected] or [email protected]
- git git.ucc.asn.au/progcomp2012.git
-'''
-
-from basic_python import *
-from path import *
-
-
-
-class Asmodeus(BasicAI):
-       " A slightly more advanced python based AI who calculates the optimum score for each move "
-       def __init__(self):
-               #sys.stderr.write("Asmodeus initialised...\n")
-               BasicAI.__init__(self)
-               self.riskScores = {'1' : 0.01 , '2' : 0.05 , '3' : 0.15 , '4' : 0.2, '5' : 0.2, '6' : 0.25, '7' : 0.25, '8' : 0.01 , '9' : 0.4, 's' : 0.01}
-               self.bombScores = {'1' : 0.0 , '2' : 0.0 , '3' : 0.05 , '4' : 0.1, '5' : 0.3, '6' : 0.4, '7' : 0.5, '8' : 1 , '9' : 0.6, 's' : 0.1}
-               self.flagScores = {'1' : 1.0 , '2' : 1.0 , '3' : 1.0 , '4' : 1.0, '5' : 1.0, '6' : 1.0, '7' : 1, '8' : 1.0 , '9' : 1.0, 's' : 1.0}
-               self.suicideScores = {'1' : 0.0 , '2' : 0.0 , '3' : 0.0, '4' : 0.0, '5' : 0.0, '6' : 0.05, '7' : 0.1, '8' : 0.0 , '9' : 0.0, 's' : 0.0}
-               self.killScores = {'1' : 1.0 , '2' : 0.9 , '3' : 0.8 , '4' : 0.5, '5' : 0.5, '6' : 0.5, '7' : 0.4, '8' : 0.9 , '9' : 0.6, 's' : 0.9}    
-
-       def MakeMove(self):
-               #sys.stderr.write("Asmodeus MakingMove...\n")
-               "Over-rides the default BasicAI.MakeMove function"
-
-               moveList = []
-
-               for unit in self.units:
-                       if unit.mobile() == False:
-                               continue
-
-                       for enemy in self.enemyUnits:
-                               if enemy == unit:
-                                       continue
-                               path = PathFinder().pathFind((unit.x, unit.y), (enemy.x, enemy.y), self.board)
-
-                               #sys.stderr.write("Computed path: " + str(path) + "\n")
-                               if path == False or len(path) <= 0:
-                                       continue
-                               score = self.CalculateScore(unit, enemy)
-
-                               score = float(score / float(len(path) + 1))
-                               moveList.append([unit, path, enemy, score])
-
-
-               
-               if len(moveList) <= 0:
-                       #sys.stderr.write("NO Moves!\n")
-                       return BasicAI.MakeMove(self)
-
-               moveList.sort(key = lambda e : e[len(e)-1], reverse=True)
-
-               #sys.stderr.write("Chosen move is: " + str(moveList[0][0].x) + " " + str(moveList[0][0].y) + " " + moveList[0][1][0] + " (targeting enemy with rank " + moveList[0][2].rank + " at position " + str(moveList[0][2].x) + " " + str(moveList[0][2].y) + " (my rank " + moveList[0][0].rank+")\n")
-               print str(moveList[0][0].x) + " " + str(moveList[0][0].y) + " " + moveList[0][1][0]
-               return True     
-
-       def CalculateScore(self, attacker, defender):
-               if defender.rank == '?':
-                       return self.riskScores[attacker.rank]
-               elif defender.rank == 'B':
-                       return self.bombScores[attacker.rank]
-               elif defender.rank == 'F':
-                       return self.flagScores[attacker.rank]
-               elif defender.valuedRank() < attacker.valuedRank() or defender.rank == '1' and attacker.rank == 's':
-                       return self.killScores[defender.rank]
-               else:
-                       return self.suicideScores[attacker.rank]
-               
-
-