Update Teller of Terrors
The Teller now pays quadruple their previous secondary revenue.
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@ -745,9 +745,12 @@ def Solve(shadowy_level, bone_market_fluctuations = None, zoological_mania = Non
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feathers = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.A_TELLER_OF_TERRORS.name, 'feathers'))
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if bone_market_fluctuations == Fluctuation.MENACE:
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model.AddApproximateExponentiationEquality(feathers, menace, 2.1, MAXIMUM_ATTRIBUTE)
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boosted_menace = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.A_TELLER_OF_TERRORS.name, 'boosted menace'))
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model.AddApproximateExponentiationEquality(boosted_menace, menace, 2.1, MAXIMUM_ATTRIBUTE)
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model.Add(feathers == 4*boosted_menace).OnlyEnforceIf(actions[Buyer.A_TELLER_OF_TERRORS])
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del boosted_menace
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else:
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model.Add(feathers == menace_squared).OnlyEnforceIf(actions[Buyer.A_TELLER_OF_TERRORS])
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model.Add(feathers == 4*menace_squared).OnlyEnforceIf(actions[Buyer.A_TELLER_OF_TERRORS])
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value_remainder = model.NewIntVar(0, 9, '{}: {}'.format(Buyer.A_TELLER_OF_TERRORS.name, 'value remainder'))
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model.AddModuloEquality(value_remainder, value, 10)
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@ -759,7 +762,7 @@ def Solve(shadowy_level, bone_market_fluctuations = None, zoological_mania = Non
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# The indirection is necessary for applying an enforcement literal
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derived_exhaustion = model.NewIntVar(0, cp_model.INT32_MAX, '{}: {}'.format(Buyer.A_TELLER_OF_TERRORS.name, 'derived exhaustion'))
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model.AddDivisionEquality(derived_exhaustion, menace_squared, 100)
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model.AddDivisionEquality(derived_exhaustion, menace_squared, 25)
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model.Add(added_exhaustion == derived_exhaustion).OnlyEnforceIf(actions[Buyer.A_TELLER_OF_TERRORS])
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del menace_squared, feathers, value_remainder, derived_exhaustion
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