Add CLI
Instead of using hardcoded parameters, this script now uses argparse to offer a command-line interface. This includes help text, short and long option specifiers, and control over everything from verbosity to the current world qualities. Occasional Buyer hasn't been implemented yet, but will eventually be a required parameter.
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@ -1,6 +1,7 @@
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import functools
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import enum
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import os
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import argparse
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from enum import auto
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from ortools.sat.python import cp_model
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@ -17,13 +18,6 @@ DIFFICULTY_SCALER = 0.6
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# This is the effective level of Shadowy used for attempting to sell.
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SHADOWY_LEVEL = 300
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# The maximum number of pennies that should be invested in this skeleton.
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MAXIMUM_COST = cp_model.INT32_MAX
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# The maximum Exhaustion that this skeleton should generate.
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MAXIMUM_EXHAUSTION = 4
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# The number of pennies needed to produce a quality.
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class Cost(enum.Enum):
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# This is your baseline EPA: the pennies you could generate using an action for a generic grind.
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@ -1011,9 +1005,6 @@ class Declaration(enum.Enum):
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def __str__(self):
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return str(self.value)
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# The current value of Zoological Mania, which grants a 10% bonus to value for a certain declaration.
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ZOOLOGICAL_MANIA = Declaration.AMPHIBIAN
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# Actions taken after a declaration is made.
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class Embellishment(enum.Enum):
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@ -1128,19 +1119,13 @@ class Buyer(enum.Enum):
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def __str__(self):
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return str(self.value)
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BUYER = Buyer.AN_ENTHUSIAST_IN_SKULLS
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# Which skeleton attribute is currently boosted.
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class Fluctuation(enum.Enum):
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ANTIQUITY = 1
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AMALGAMY = 2
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# The current value of Bone Market Fluctuations, which grants various bonuses to certain buyers.
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BONE_MARKET_FLUCTUATIONS = Fluctuation.AMALGAMY
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def Solve():
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def Solve(bone_market_fluctuations, zoological_mania, desired_buyer = None, maximum_cost = cp_model.INT32_MAX, maximum_exhaustion = cp_model.INT32_MAX, verbose = False):
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model = cp_model.CpModel()
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actions = {}
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@ -1186,16 +1171,16 @@ def Solve():
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model.Add(cp_model.LinearExpr.Sum([value for (key, value) in actions.items() if isinstance(key, Buyer)]) == 1)
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# Set buyer
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if BUYER is not None:
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model.Add(actions[BUYER] == 1)
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if desired_buyer is not None:
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model.Add(actions[desired_buyer] == 1)
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# Value calculation
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original_value = model.NewIntVar(0, cp_model.INT32_MAX, 'original value')
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model.Add(original_value == cp_model.LinearExpr.ScalProd(actions.values(), [action.value.value for action in actions.keys()]))
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multiplied_value = model.NewIntVar(0, cp_model.INT32_MAX*11, "multiplied value")
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model.Add(multiplied_value == original_value*11).OnlyEnforceIf(actions[ZOOLOGICAL_MANIA])
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model.Add(multiplied_value == original_value*10).OnlyEnforceIf(actions[ZOOLOGICAL_MANIA].Not())
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model.Add(multiplied_value == original_value*11).OnlyEnforceIf(actions[zoological_mania])
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model.Add(multiplied_value == original_value*10).OnlyEnforceIf(actions[zoological_mania].Not())
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value = model.NewIntVar(0, cp_model.INT32_MAX, 'value')
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model.AddDivisionEquality(value, multiplied_value, 10)
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@ -1268,10 +1253,10 @@ def Solve():
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# Exhaustion calculation
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exhaustion = model.NewIntVar(0, MAXIMUM_EXHAUSTION, 'exhaustion')
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exhaustion = model.NewIntVar(0, maximum_exhaustion, 'exhaustion')
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# Exhaustion added by certain buyers
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added_exhaustion = model.NewIntVar(0, MAXIMUM_EXHAUSTION, 'added exhaustion')
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added_exhaustion = model.NewIntVar(0, maximum_exhaustion, 'added exhaustion')
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model.Add(exhaustion == cp_model.LinearExpr.ScalProd(actions.values(), [action.value.exhaustion for action in actions.keys()]) + added_exhaustion)
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@ -1339,7 +1324,7 @@ def Solve():
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del add_joints, add_joints_amber_cost_multiple
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cost = model.NewIntVar(0, MAXIMUM_COST, 'cost')
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cost = model.NewIntVar(0, maximum_cost, 'cost')
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model.Add(cost == cp_model.LinearExpr.ScalProd(actions.values(), [int(action.value.cost) for action in actions.keys()]) + add_joints_amber_cost + sale_cost)
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del sale_cost, add_joints_amber_cost
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@ -1634,7 +1619,7 @@ def Solve():
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model.AddModuloEquality(value_remainder, value, 50)
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model.Add(primary_revenue == value - value_remainder).OnlyEnforceIf(actions[Buyer.AN_ENTHUSIAST_OF_THE_ANCIENT_WORLD])
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model.Add(secondary_revenue == 250*antiquity + (250 if BONE_MARKET_FLUCTUATIONS == Fluctuation.ANTIQUITY else 0)).OnlyEnforceIf(actions[Buyer.AN_ENTHUSIAST_OF_THE_ANCIENT_WORLD])
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model.Add(secondary_revenue == 250*antiquity + (250 if bone_market_fluctuations == Fluctuation.ANTIQUITY else 0)).OnlyEnforceIf(actions[Buyer.AN_ENTHUSIAST_OF_THE_ANCIENT_WORLD])
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model.Add(difficulty_level == 45*implausibility).OnlyEnforceIf(actions[Buyer.AN_ENTHUSIAST_OF_THE_ANCIENT_WORLD])
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@ -1668,7 +1653,7 @@ def Solve():
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model.AddModuloEquality(value_remainder, value, 50)
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model.Add(primary_revenue == value - value_remainder + 250).OnlyEnforceIf(actions[Buyer.A_TENTACLED_SERVANT])
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model.Add(secondary_revenue == 250*amalgamy + (250 if BONE_MARKET_FLUCTUATIONS == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_TENTACLED_SERVANT])
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model.Add(secondary_revenue == 250*amalgamy + (250 if bone_market_fluctuations == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_TENTACLED_SERVANT])
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model.Add(difficulty_level == 45*implausibility).OnlyEnforceIf(actions[Buyer.A_TENTACLED_SERVANT])
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@ -1685,7 +1670,7 @@ def Solve():
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model.AddMultiplicationEquality(antiquity_squared, [antiquity, antiquity])
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tailfeathers = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.AN_INVESTMENT_MINDED_AMBASSADOR.name, 'tailfeathers'))
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if BONE_MARKET_FLUCTUATIONS == Fluctuation.ANTIQUITY:
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if bone_market_fluctuations == Fluctuation.ANTIQUITY:
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model.AddApproximateExponentiationEquality(tailfeathers, antiquity, 2.2, MAXIMUM_ATTRIBUTE)
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else:
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model.Add(tailfeathers == antiquity_squared).OnlyEnforceIf(actions[Buyer.AN_INVESTMENT_MINDED_AMBASSADOR])
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@ -1738,7 +1723,7 @@ def Solve():
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model.AddMultiplicationEquality(amalgamy_squared, [amalgamy, amalgamy])
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final_breaths = model.NewIntVar(cp_model.INT32_MIN, cp_model.INT32_MAX, '{}: {}'.format(Buyer.A_TENTACLED_ENTREPRENEUR.name, 'final breaths'))
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if BONE_MARKET_FLUCTUATIONS == Fluctuation.AMALGAMY:
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if bone_market_fluctuations == Fluctuation.AMALGAMY:
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model.AddApproximateExponentiationEquality(final_breaths, amalgamy, 2.2, MAXIMUM_ATTRIBUTE)
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else:
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model.Add(final_breaths == amalgamy_squared).OnlyEnforceIf(actions[Buyer.A_TENTACLED_ENTREPRENEUR])
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@ -1771,7 +1756,7 @@ def Solve():
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model.AddModuloEquality(value_remainder, value, 50)
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model.Add(primary_revenue == value - value_remainder + 250).OnlyEnforceIf(actions[Buyer.AN_AUTHOR_OF_GOTHIC_TALES])
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model.Add(secondary_revenue == 250*antiquity_times_menace + 250*(menace if BONE_MARKET_FLUCTUATIONS == Fluctuation.ANTIQUITY else 0)).OnlyEnforceIf(actions[Buyer.AN_AUTHOR_OF_GOTHIC_TALES])
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model.Add(secondary_revenue == 250*antiquity_times_menace + 250*(menace if bone_market_fluctuations == Fluctuation.ANTIQUITY else 0)).OnlyEnforceIf(actions[Buyer.AN_AUTHOR_OF_GOTHIC_TALES])
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model.Add(difficulty_level == 75*implausibility).OnlyEnforceIf(actions[Buyer.AN_AUTHOR_OF_GOTHIC_TALES])
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@ -1795,7 +1780,7 @@ def Solve():
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model.AddModuloEquality(value_remainder, value, 10)
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model.Add(primary_revenue == value - value_remainder + 250).OnlyEnforceIf(actions[Buyer.A_ZAILOR_WITH_PARTICULAR_INTERESTS])
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model.Add(secondary_revenue == 250*amalgamy_times_antiquity + 250*(amalgamy if BONE_MARKET_FLUCTUATIONS == Fluctuation.ANTIQUITY else antiquity if BONE_MARKET_FLUCTUATIONS == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_ZAILOR_WITH_PARTICULAR_INTERESTS])
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model.Add(secondary_revenue == 250*amalgamy_times_antiquity + 250*(amalgamy if bone_market_fluctuations == Fluctuation.ANTIQUITY else antiquity if bone_market_fluctuations == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_ZAILOR_WITH_PARTICULAR_INTERESTS])
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model.Add(difficulty_level == 75*implausibility).OnlyEnforceIf(actions[Buyer.A_ZAILOR_WITH_PARTICULAR_INTERESTS])
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@ -1819,7 +1804,7 @@ def Solve():
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model.AddModuloEquality(value_remainder, value, 50)
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model.Add(primary_revenue == value - value_remainder + 250).OnlyEnforceIf(actions[Buyer.A_RUBBERY_COLLECTOR])
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model.Add(secondary_revenue == 250*amalgamy_times_menace + 250*(menace if BONE_MARKET_FLUCTUATIONS == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_RUBBERY_COLLECTOR])
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model.Add(secondary_revenue == 250*amalgamy_times_menace + 250*(menace if bone_market_fluctuations == Fluctuation.AMALGAMY else 0)).OnlyEnforceIf(actions[Buyer.A_RUBBERY_COLLECTOR])
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model.Add(difficulty_level == 75*implausibility).OnlyEnforceIf(actions[Buyer.A_RUBBERY_COLLECTOR])
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@ -1931,7 +1916,7 @@ def Solve():
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solver = cp_model.CpSolver()
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solver.parameters.num_search_workers = os.cpu_count()
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solver.parameters.log_search_progress = True
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solver.parameters.log_search_progress = verbose
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status = solver.StatusName(solver.Solve(model))
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if status == "INFEASIBLE":
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@ -1963,5 +1948,77 @@ def Solve():
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print("\nExhaustion: {:n}".format(solver.Value(exhaustion)))
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if __name__ == '__main__':
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Solve()
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class EnumAction(argparse.Action):
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def __init__(self, **kwargs):
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# Pop off the type value
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enum = kwargs.pop("type", None)
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# Generate choices from the Enum
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kwargs.setdefault("choices", tuple(e.name.lower() for e in enum))
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super(EnumAction, self).__init__(**kwargs)
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self._enum = enum
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def __call__(self, parser, namespace, values, option_string=None):
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# Convert value back into an Enum
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enum = self._enum[values.upper()]
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setattr(namespace, self.dest, enum)
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def main():
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parser = argparse.ArgumentParser(prog='Bone Market Solver', description='Devise the optimal skeleton at the Bone Market in Fallen London.')
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parser.add_argument(
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'-f', '--bone-market-fluctuations',
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action=EnumAction,
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type=Fluctuation,
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required=True,
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help='current value of Bone Market Fluctuations, which grants various bonuses to certain buyers',
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dest='bone_market_fluctuations'
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)
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parser.add_argument(
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'-m', '--zoological-mania',
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action=EnumAction,
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type=Declaration,
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required=True,
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help='current value of Zoological Mania, which grants a 10%% bonus to value for a certain declaration',
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dest='zoological_mania'
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)
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parser.add_argument(
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'-b','--buyer', '--desired-buyer',
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action=EnumAction,
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type=Buyer,
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help='specific buyer that skeleton should be designed for',
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dest='desired_buyer'
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)
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parser.add_argument(
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'-c', '--cost', '--maximum-cost',
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default=cp_model.INT32_MAX,
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type=int,
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help='maximum number of pennies that should be invested in skeleton',
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dest='maximum_cost'
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)
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parser.add_argument(
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'-e', '--exhaustion', '--maximum_exhaustion',
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default=cp_model.INT32_MAX,
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type=int,
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help='maximum exhaustion that skeleton should generate',
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dest='maximum_exhaustion'
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)
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parser.add_argument(
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'-v', '--verbose',
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nargs='?',
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const='True',
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default=False,
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type=bool,
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help='whether the solver should output progress',
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dest='verbose'
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)
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args = parser.parse_args()
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Solve(args.bone_market_fluctuations, args.zoological_mania, args.desired_buyer, args.maximum_cost, args.maximum_exhaustion, args.verbose)
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main()
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