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simulator.py
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from coin import Coin
from basic_models import *
from calm_models import *
from indecisive_models import *
def simulation(model, prompt=False):
score = 0
while model.fund > 0:
coin = Coin()
model.test(coin)
is_correct = model.reward(coin)
if is_correct:
score += 1
if prompt:
print(f"Score: {score}")
print(f"Remaining: {model.fund}")
return score
def test_model(model, num_test=100, prompt_records=False):
global FUND
records = []
for _ in range(num_test):
records.append(simulation(model))
model.fund = FUND
if prompt_records:
print(records)
return f"Min: {min(records)}, Mean: {sum(records) / len(records)}, Max: {max(records)}"
# Simulation
FUND = 100
# Basic Models
none_belief_model = NoBeliefModel(FUND)
weak_belief_model = WeakBeliefModel(FUND)
fanatic_model = FanaticModel(FUND)
belief_model = BeliefModel(FUND)
print(f"Basic models #########################")
print(f"No belief model Result: {test_model(none_belief_model, 10000)}")
print(f"Weak belief model Result: {test_model(weak_belief_model, 10000)}")
print(f"Fanatic model Result: {test_model(fanatic_model, 10000)}")
print(f"Belief model Result: {test_model(belief_model, 10000)}")
# Calm Models
calm_weak_belief_model = CalmWeakBeliefModel(FUND)
calm_fanatic_model = CalmFanaticModel(FUND)
calm_belief_model = CalmBeliefModel(FUND)
print(f"Calm models ###########################")
print(f"Calm weak belief model Result: {test_model(calm_belief_model, 10000)}")
print(f"Calm fanatic model Result: {test_model(calm_fanatic_model, 10000)}")
print(f"Calm belief model Result: {test_model(calm_belief_model, 10000)}")
# Indecisive Models
basic_indecisive_model = BasicIndecisiveModel(FUND, significance_level=0.3)
indecisive_weak_belief_model = IndecisiveWeakBeliefModel(FUND, significance_level=0.3)
indecisive_fanatic_model = IndecisiveFanaticModel(FUND, significance_level=0.3)
indecisive_belief_model = IndecisiveBeliefModel(FUND, significance_level=0.3)
print(f"Indecisive models #####################")
print(f"Basic indecisive model Result: {test_model(basic_indecisive_model, 10000)}")
print(f"Indecisive weak belief model Result: {test_model(indecisive_weak_belief_model, 10000)}")
print(f"Indecisive fanatic model Result: {test_model(indecisive_fanatic_model, 10000)}")
print(f"Indecisive belief model Result: {test_model(indecisive_belief_model, 10000)}")