mirror of
https://github.com/Sneed-Group/Poodletooth-iLand
synced 2024-10-31 08:47:54 +00:00
465 lines
14 KiB
Python
465 lines
14 KiB
Python
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from DistributedMinigameAI import *
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from direct.distributed.ClockDelta import *
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from direct.interval.IntervalGlobal import *
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from direct.fsm import ClassicFSM
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from direct.fsm import State
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from direct.actor import Actor
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import DivingGameGlobals
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import random
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import random
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import types
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class DistributedDivingGameAI(DistributedMinigameAI):
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fishProportions = []
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for i in xrange(6):
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fishProportions.append([])
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n = 100
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fishProportions[0]
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fishProportions[0].append(([0, 0.8],
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[0.8, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[0].append(([0, 0.8],
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[0.8, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[0].append(([0, 0.7],
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[0.7, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[0].append(([0, 0.7],
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[0.7, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[0].append(([0, 0.5],
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[0.5, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[0].append(([n, 0.5],
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[0.5, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[1]
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fishProportions[1].append(([0, 0.8],
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[0.8, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[1].append(([0, 0.8],
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[0.8, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[1].append(([0, 0.7],
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[0.7, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[1].append(([0, 0.7],
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[0.7, 0.9],
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[n, n],
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[n, n],
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[n, n],
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[0.9, 1]))
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fishProportions[1].append(([0, 0.4],
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[0.4, 0.8],
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[n, n],
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[n, n],
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[n, n],
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[0.8, 1]))
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fishProportions[1].append(([n, 0.3],
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[0.3, 0.6],
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[n, n],
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[n, n],
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[n, n],
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[0.6, 1]))
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fishProportions[2]
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fishProportions[2].append(([0, 0.7],
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[0.7, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[2].append(([0, 0.6],
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[0.6, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[2].append(([0, 0.6],
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[0.6, 0.8],
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[n, n],
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[0.8, 1],
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[n, n],
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[n, n]))
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fishProportions[2].append(([0, 0.5],
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[0.5, 0.7],
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[n, n],
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[0.7, 0.9],
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[n, n],
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[0.9, 1]))
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fishProportions[2].append(([0, 0.2],
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[0.2, 0.4],
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[n, n],
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[0.4, 0.75],
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[n, n],
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[0.75, 1]))
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fishProportions[2].append(([n, 0.2],
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[0.2, 0.6],
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[n, n],
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[0.6, 0.8],
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[n, n],
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[0.8, 1]))
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fishProportions[3]
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fishProportions[3].append(([0, 0.7],
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[0.7, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[3].append(([0, 0.6],
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[0.6, 1],
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[n, n],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[3].append(([0, 0.6],
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[0.6, 0.8],
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[n, n],
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[0.95, 1],
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[n, n],
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[n, n]))
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fishProportions[3].append(([0, 0.5],
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[0.5, 0.7],
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[n, n],
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[0.7, 0.85],
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[0.9, 0.95],
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[0.95, 1]))
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fishProportions[3].append(([0, 0.2],
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[0.2, 0.4],
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[n, n],
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[0.4, 0.75],
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[0.75, 0.85],
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[0.85, 1]))
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fishProportions[3].append(([n, 0.2],
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[0.2, 0.6],
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[n, n],
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[0.6, 0.8],
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[n, n],
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[0.8, 1]))
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fishProportions[4]
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fishProportions[4].append(([0, 0.7],
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[0.7, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[4].append(([0, 0.45],
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[0.45, 0.9],
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[n, n],
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[0.9, 1],
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[n, n],
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[n, n]))
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fishProportions[4].append(([0, 0.2],
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[0.2, 0.5],
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[n, n],
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[0.5, 0.95],
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[0.95, 1],
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[n, n]))
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fishProportions[4].append(([0, 0.1],
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[0.1, 0.3],
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[n, n],
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[0.3, 0.75],
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[0.75, 0.8],
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[0.8, 1]))
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fishProportions[4].append(([n, n],
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[0, 0.15],
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[n, n],
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[0.15, 0.4],
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[n, n],
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[0.4, 1]))
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fishProportions[4].append(([n, n],
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[n, n],
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[n, n],
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[0, 0.4],
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[n, n],
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[0.6, 1]))
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fishProportions[5]
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fishProportions[5].append(([0, 0.7],
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[0.7, 0.9],
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[0.9, 1],
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[n, n],
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[n, n],
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[n, n]))
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fishProportions[5].append(([0, 0.45],
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[0.45, 0.9],
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[n, n],
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[0.9, 1],
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[n, n],
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[n, n]))
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fishProportions[5].append(([0, 0.2],
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[0.2, 0.5],
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[n, n],
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[0.5, 0.95],
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[0.95, 1],
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[n, n]))
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fishProportions[5].append(([0, 0.1],
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[0.1, 0.3],
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[n, n],
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[0.3, 0.75],
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[0.75, 0.8],
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[0.8, 1]))
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fishProportions[5].append(([n, n],
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[0, 0.15],
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[n, n],
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[0.15, 0.4],
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[n, n],
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[0.4, 1]))
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fishProportions[5].append(([n, n],
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[n, n],
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[n, n],
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[0, 0.4],
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[n, n],
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[0.6, 1]))
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difficultyPatternsAI = {ToontownGlobals.ToontownCentral: [3.5, fishProportions[0], 1.5],
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ToontownGlobals.DonaldsDock: [3.0, fishProportions[1], 1.8],
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ToontownGlobals.DaisyGardens: [2.5, fishProportions[2], 2.1],
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ToontownGlobals.MinniesMelodyland: [2.0, fishProportions[3], 2.4],
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ToontownGlobals.TheBrrrgh: [2.0, fishProportions[4], 2.7],
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ToontownGlobals.DonaldsDreamland: [1.5, fishProportions[5], 3.0]}
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def __init__(self, air, minigameId):
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try:
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self.DistributedDivingGameAI_initialized
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except:
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self.DistributedDivingGameAI_initialized = 1
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DistributedMinigameAI.__init__(self, air, minigameId)
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self.gameFSM = ClassicFSM.ClassicFSM('DistributedDivingGameAI', [State.State('inactive', self.enterInactive, self.exitInactive, ['swimming']), State.State('swimming', self.enterSwimming, self.exitSwimming, ['cleanup']), State.State('cleanup', self.enterCleanup, self.exitCleanup, ['inactive'])], 'inactive', 'inactive')
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self.addChildGameFSM(self.gameFSM)
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self.__timeBase = globalClockDelta.localToNetworkTime(globalClock.getRealTime())
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def delete(self):
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self.notify.debug('delete')
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del self.gameFSM
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DistributedMinigameAI.delete(self)
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def setGameReady(self):
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self.notify.debug('setGameReady')
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self.sendUpdate('setTrolleyZone', [self.trolleyZone])
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for avId in self.scoreDict.keys():
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self.scoreDict[avId] = 0
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self.treasureHolders = [0] * self.numPlayers
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self.SPAWNTIME = self.difficultyPatternsAI[self.getSafezoneId()][0]
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self.proportion = self.difficultyPatternsAI[self.getSafezoneId()][1]
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self.REWARDMOD = self.difficultyPatternsAI[self.getSafezoneId()][2]
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DistributedMinigameAI.setGameReady(self)
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self.spawnings = []
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for i in xrange(DivingGameGlobals.NUM_SPAWNERS):
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self.spawnings.append(Sequence(Func(self.spawnFish, i), Wait(self.SPAWNTIME + random.random()), Func(self.spawnFish, i), Wait(self.SPAWNTIME - 0.5 + random.random())))
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self.spawnings[i].loop()
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def setGameStart(self, timestamp):
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self.notify.debug('setGameStart')
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DistributedMinigameAI.setGameStart(self, timestamp)
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self.gameFSM.request('swimming')
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self.scoreTracking = {}
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for avId in self.scoreDict.keys():
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self.scoreTracking[avId] = [0,
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0,
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0,
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0,
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0]
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def getCrabMoving(self, crabId, crabX, dir):
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timestamp = globalClockDelta.getFrameNetworkTime()
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rand1 = int(random.random() * 10)
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rand2 = int(random.random() * 10)
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self.sendUpdate('setCrabMoving', [crabId,
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timestamp,
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rand1,
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rand2,
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crabX,
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dir])
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def treasureRecovered(self):
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if not hasattr(self, 'scoreTracking'):
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return
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avId = self.air.getAvatarIdFromSender()
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if avId not in self.avIdList:
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self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.treasureRecovered: invalid avId')
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return
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if avId not in self.treasureHolders:
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self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.treasureRecovered: tried to recover without holding treasure')
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return
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self.treasureHolders[self.treasureHolders.index(avId)] = 0
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timestamp = globalClockDelta.getFrameNetworkTime()
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newSpot = int(random.random() * 30)
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self.scoreTracking[avId][4] += 1
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for someAvId in self.scoreDict.keys():
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if someAvId == avId:
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self.scoreDict[avId] += 10 * (self.REWARDMOD * 0.25)
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self.scoreDict[someAvId] += 10 * (self.REWARDMOD * 0.75 / float(len(self.scoreDict.keys())))
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self.sendUpdate('incrementScore', [avId, newSpot, timestamp])
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def hasScoreMult(self):
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return 0
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def setGameAbort(self):
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self.notify.debug('setGameAbort')
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taskMgr.remove(self.taskName('gameTimer'))
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if self.gameFSM.getCurrentState():
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self.gameFSM.request('cleanup')
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DistributedMinigameAI.setGameAbort(self)
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def gameOver(self):
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self.notify.debug('gameOver')
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self.gameFSM.request('cleanup')
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DistributedMinigameAI.gameOver(self)
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trackingString = 'MiniGame Stats : Diving Game'
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trackingString += '\nDistrict:%s' % self.getSafezoneId()
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for avId in self.scoreTracking.keys():
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trackingString = trackingString + '\navId:%s fishHits:%s crabHits:%s treasureCatches:%s treasureDrops:%s treasureRecoveries:%s Score: %s' % (avId,
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self.scoreTracking[avId][0],
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self.scoreTracking[avId][1],
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self.scoreTracking[avId][2],
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self.scoreTracking[avId][3],
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self.scoreTracking[avId][4],
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self.scoreDict[avId])
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self.air.writeServerEvent('MiniGame Stats', None, trackingString)
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return
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def enterInactive(self):
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self.notify.debug('enterInactive')
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def exitInactive(self):
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pass
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def getTimeBase(self):
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return self.__timeBase
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def enterSwimming(self):
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self.notify.debug('enterSwimming')
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duration = 65.0
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taskMgr.doMethodLater(duration, self.timerExpired, self.taskName('gameTimer'))
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def timerExpired(self, task):
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self.notify.debug('timer expired')
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for avId in self.scoreDict.keys():
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if self.scoreDict[avId] < 5:
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self.scoreDict[avId] = 5
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self.gameOver()
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return Task.done
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def exitSwimming(self):
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for i in xrange(DivingGameGlobals.NUM_SPAWNERS):
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self.spawnings[i].pause()
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def enterCleanup(self):
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self.notify.debug('enterCleanup')
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for i in xrange(DivingGameGlobals.NUM_SPAWNERS):
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self.spawnings[i].finish()
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del self.spawnings
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self.gameFSM.request('inactive')
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def exitCleanup(self):
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pass
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def pickupTreasure(self, chestId):
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if not hasattr(self, 'scoreTracking'):
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return
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timestamp = globalClockDelta.getFrameNetworkTime()
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avId = self.air.getAvatarIdFromSender()
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if avId not in self.avIdList:
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self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.pickupTreasure: invalid avId')
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return
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if avId in self.treasureHolders:
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self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.pickupTreasure: already holding treasure')
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return
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if not (0 <= chestId < len(self.treasureHolders)):
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self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.pickupTreasure: invalid chest requested (#%d)' % chestId)
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return
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if self.treasureHolders[chestId]:
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# This chest is already held by someone else. Because this can happen
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# during normal play (race conditions if two Toons swim into the treasure
|
||
|
# simultaneously) we do not log a suspicious event and silently ignore it.
|
||
|
return
|
||
|
self.scoreTracking[avId][2] += 1
|
||
|
self.treasureHolders[chestId] = avId
|
||
|
self.sendUpdate('setTreasureGrabbed', [avId, chestId])
|
||
|
|
||
|
def spawnFish(self, spawnerId):
|
||
|
timestamp = globalClockDelta.getFrameNetworkTime()
|
||
|
props = self.proportion[spawnerId]
|
||
|
num = random.random()
|
||
|
for i in xrange(len(props)):
|
||
|
prop = props[i]
|
||
|
low = prop[0]
|
||
|
high = prop[1]
|
||
|
if num > low and num <= high:
|
||
|
offset = int(10 * random.random())
|
||
|
self.sendUpdate('fishSpawn', [timestamp,
|
||
|
i,
|
||
|
spawnerId,
|
||
|
offset])
|
||
|
return
|
||
|
|
||
|
def handleCrabCollision(self, avId, status):
|
||
|
if avId not in self.avIdList:
|
||
|
self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.handleCrabCollision: invalid avId')
|
||
|
return
|
||
|
timestamp = globalClockDelta.getFrameNetworkTime()
|
||
|
self.sendUpdate('setTreasureDropped', [avId, timestamp])
|
||
|
self.scoreTracking[avId][1] += 1
|
||
|
if status == 'normal' or status == 'treasure':
|
||
|
timestamp = globalClockDelta.getFrameNetworkTime()
|
||
|
self.sendUpdate('performCrabCollision', [avId, timestamp])
|
||
|
if status == 'treasure':
|
||
|
if avId in self.treasureHolders:
|
||
|
self.treasureHolders[self.treasureHolders.index(avId)] = 0
|
||
|
self.scoreTracking[avId][3] += 1
|
||
|
else:
|
||
|
self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.handleCrabCollision: reported "treasure drop" without holding treasure')
|
||
|
|
||
|
def handleFishCollision(self, avId, spawnId, spawnerId, status):
|
||
|
if avId not in self.avIdList:
|
||
|
self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.handleFishCollision: invalid avId')
|
||
|
return
|
||
|
timestamp = globalClockDelta.getFrameNetworkTime()
|
||
|
self.sendUpdate('setTreasureDropped', [avId, timestamp])
|
||
|
timestamp = globalClockDelta.getFrameNetworkTime()
|
||
|
self.scoreTracking[avId][0] += 1
|
||
|
if status == 'treasure':
|
||
|
if avId in self.treasureHolders:
|
||
|
self.treasureHolders[self.treasureHolders.index(avId)] = 0
|
||
|
self.scoreTracking[avId][3] += 1
|
||
|
else:
|
||
|
self.air.writeServerEvent('suspicious', avId, 'DivingGameAI.handleFishCollision: reported "treasure drop" without holding treasure')
|
||
|
self.sendUpdate('performFishCollision', [avId,
|
||
|
spawnId,
|
||
|
spawnerId,
|
||
|
timestamp])
|